Faster-than-Requests

Library	Speed	Files	LOC	Dependencies	Developers	WebSockets	Multi-Threaded Web Scraper Built-in
PyWGET	`152.39`	1	338	Wget	>17	❎	❎
Requests	`15.58`	>20	2558	>=7	>527	❎	❎
Requests (cached object)	`5.50`	>20	2558	>=7	>527	❎	❎
Urllib	`4.00`	???	1200	0 (std lib)	???	❎	❎
Urllib3	`3.55`	>40	5242	0 (No SSL), >=5 (SSL)	>188	❎	❎
PyCurl	`0.75`	>15	5932	Curl, LibCurl	>50	❎	❎
PyCurl (no SSL)	`0.68`	>15	5932	Curl, LibCurl	>50	❎	❎
Faster_than_requests	`0.40`	1	999	0	1	✔️	✔️ 7, One-Liner

Lines Of Code counted using CLOC.
Direct dependencies of the package when ready to run.
Benchmarks run on Docker from Dockerfile on this repo.
Developers counted from the Contributors list of Git.
Speed is IRL time to complete 10000 HTTP local requests.
Stats as of year 2020.
x86_64 64Bit AMD, SSD, Arch Linux.

Use

import faster_than_requests as requests

requests.get("http://httpbin.org/get")                                      # GET
requests.post("http://httpbin.org/post", "Some Data Here")                  # POST
requests.download("http://example.com/foo.jpg", "out.jpg")                  # Download a file
requests.scraper(["http://foo.io", "http://bar.io"], threads=True)          # Multi-Threaded Web Scraper
requests.scraper5(["http://foo.io"], sqlite_file_path="database.db")        # URL-to-SQLite Web Scraper
requests.scraper6(["http://python.org"], ["(www|http:|https:)+[^\s]+[\w]"]) # Regex-powered Web Scraper
requests.scraper7("http://python.org", "body > div.someclass a#someid"])    # CSS Selector Web Scraper
requests.websocket_send("ws://echo.websocket.org", "data here")             # WebSockets Binary/Text


get()	post()	put()	head()
patch()	delete()	download()	download2()
scraper()	scraper2()	scraper3()	scraper4()
scraper5()	scraper6()	scraper7()	get2str()
get2str2()		get2dict()	get2json()
post2str()	post2dict()	post2json()	post2list()
download3()	tuples2json()	set_headers()	multipartdata2str()
datauri()	urlparse()	urlencode()	urldecode()
encodequery()	encodexml()	debugs()	minifyhtml()
How to set DEBUG mode	websocket_send()	websocket_ping()
How to Install	How to Windows	FAQ	Get Help
PyPI	GitHub Actions / CI	Examples	Sponsors

get()

Description: Takes an URL string, makes an HTTP GET and returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://dev.to.
user_agent User Agent, string type, optional, should not be empty string.
max_redirects Maximum Redirects, int type, optional, defaults to 9, example 5, example 1.
proxy_url Proxy URL, string type, optional, if is "" then NO Proxy is used, defaults to "", example 172.15.256.1:666.
proxy_auth Proxy Auth, string type, optional, if proxy_url is "" then is ignored, defaults to "".
timeout Timeout, int type, optional, Milliseconds precision, defaults to -1, example 9999, example 666.
http_headers HTTP Headers, List of Tuples type, optional, example [("key", "value")], example [("DNT", "1")].

Examples:

import faster_than_requests as requests
requests.get("http://example.com")

Returns: Response, list type, values of the list are string type, values of the list can be empty string, the lenght of the list is always 7 items, the values are like [body, type, status, version, url, length, headers], you can use to_json() to get JSON or to_dict() to get a dict or to_tuples() to get a tuples.

See Also: get2str() and get2str2()

post()

Description: Takes an URL string, makes an HTTP POST and returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://dev.to.
body the Body data, string type, required, can be empty string. To Post Files use this too.
multipart_data MultiPart data, optional, list of tupes type, must not be empty list, example [("key", "value")].
user_agent User Agent, string type, optional, should not be empty string.
max_redirects Maximum Redirects, int type, optional, defaults to 9, example 5, example 1.
proxy_url Proxy URL, string type, optional, if is "" then NO Proxy is used, defaults to "", example 172.15.256.1:666.
proxy_auth Proxy Auth, string type, optional, if proxy_url is "" then is ignored, defaults to "".
timeout Timeout, int type, optional, Milliseconds precision, defaults to -1, example 9999, example 666.
http_headers HTTP Headers, List of Tuples type, optional, example [("key", "value")], example [("DNT", "1")].

Examples:

import faster_than_requests as requests
requests.post("http://httpbin.org/post", "Some Data Here")

Returns: Response, list type, values of the list are string type, values of the list can be empty string, the lenght of the list is always 7 items, the values are like [body, type, status, version, url, length, headers], you can use to_json() to get JSON or to_dict() to get a dict or to_tuples() to get a tuples.

put()

Description: Takes an URL string, makes an HTTP PUT and returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://nim-lang.org.
body the Body data, string type, required, can be empty string.
user_agent User Agent, string type, optional, should not be empty string.
max_redirects Maximum Redirects, int type, optional, defaults to 9, example 5, example 1.
proxy_url Proxy URL, string type, optional, if is "" then NO Proxy is used, defaults to "", example 172.15.256.1:666.
proxy_auth Proxy Auth, string type, optional, if proxy_url is "" then is ignored, defaults to "".
timeout Timeout, int type, optional, Milliseconds precision, defaults to -1, example 9999, example 666.
http_headers HTTP Headers, List of Tuples type, optional, example [("key", "value")], example [("DNT", "1")].

Examples:

import faster_than_requests as requests
requests.put("http://httpbin.org/post", "Some Data Here")

Returns: Response, list type, values of the list are string type, values of the list can be empty string, the lenght of the list is always 7 items, the values are like [body, type, status, version, url, length, headers], you can use to_json() to get JSON or to_dict() to get a dict or to_tuples() to get a tuples.

delete()

Description: Takes an URL string, makes an HTTP DELETE and returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://nim-lang.org.
user_agent User Agent, string type, optional, should not be empty string.
max_redirects Maximum Redirects, int type, optional, defaults to 9, example 5, example 1.
proxy_url Proxy URL, string type, optional, if is "" then NO Proxy is used, defaults to "", example 172.15.256.1:666.
proxy_auth Proxy Auth, string type, optional, if proxy_url is "" then is ignored, defaults to "".
timeout Timeout, int type, optional, Milliseconds precision, defaults to -1, example 9999, example 666.
http_headers HTTP Headers, List of Tuples type, optional, example [("key", "value")], example [("DNT", "1")].

Examples:

import faster_than_requests as requests
requests.delete("http://example.com/api/something")

Returns: Response, list type, values of the list are string type, values of the list can be empty string, the lenght of the list is always 7 items, the values are like [body, type, status, version, url, length, headers], you can use to_json() to get JSON or to_dict() to get a dict or to_tuples() to get a tuples.

patch()

Description: Takes an URL string, makes an HTTP PATCH and returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://archlinux.org.
body the Body data, string type, required, can be empty string.
user_agent User Agent, string type, optional, should not be empty string.
max_redirects Maximum Redirects, int type, optional, defaults to 9, example 5, example 1.
proxy_url Proxy URL, string type, optional, if is "" then NO Proxy is used, defaults to "", example 172.15.256.1:666.
proxy_auth Proxy Auth, string type, optional, if proxy_url is "" then is ignored, defaults to "".
timeout Timeout, int type, optional, Milliseconds precision, defaults to -1, example 9999, example 666.
http_headers HTTP Headers, List of Tuples type, optional, example [("key", "value")], example [("DNT", "1")].

Examples:

import faster_than_requests as requests
requests.patch("http://example.com", "My Body Data Here")

Returns: Response, list type, values of the list are string type, values of the list can be empty string, the lenght of the list is always 7 items, the values are like [body, type, status, version, url, length, headers], you can use to_json() to get JSON or to_dict() to get a dict or to_tuples() to get a tuples.

head()

Description: Takes an URL string, makes an HTTP HEAD and returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://nim-lang.org.
user_agent User Agent, string type, optional, should not be empty string.
max_redirects Maximum Redirects, int type, optional, defaults to 9, example 5, example 1.
proxy_url Proxy URL, string type, optional, if is "" then NO Proxy is used, defaults to "", example 172.15.256.1:666.
proxy_auth Proxy Auth, string type, optional, if proxy_url is "" then is ignored, defaults to "".
timeout Timeout, int type, optional, Milliseconds precision, defaults to -1, example 9999, example 666.
http_headers HTTP Headers, List of Tuples type, optional, example [("key", "value")], example [("DNT", "1")].

Examples:

import faster_than_requests as requests
requests.head("http://example.com/api/something")

Returns: Response, list type, values of the list are string type, values of the list can be empty string, the lenght of the list is always 7 items, the values are like [body, type, status, version, url, length, headers], you can use to_json() to get JSON or to_dict() to get a dict or to_tuples() to get a tuples.

to_dict()

Description: Convert the response to dict.

Arguments:

ftr_response Response from any of the functions that return a response.

Returns: Response, dict type.

to_json()

Description: Convert the response to Pretty-Printed JSON.

Arguments:

ftr_response Response from any of the functions that return a response.

Returns: Response, Pretty-Printed JSON.

to_tuples()

Description: Convert the response to a list of tuples.

Arguments:

ftr_response Response from any of the functions that return a response.

Returns: Response, list of tuples.

Extras: Go beyond requests

scraper()

Description: Multi-Threaded Ready-Made URL-Deduplicating Web Scraper from a list of URLs.

All arguments are optional, it only needs the URL to get to work. Scraper is designed to be like a 2-Step Web Scraper, that makes a first pass collecting all URL Links and then a second pass actually fetching those URLs. Requests are processed asynchronously. This means that it doesn’t need to wait for a request to be finished to be processed.

Arguments:

list_of_urls List of URLs, URL must be string type, required, must not be empty list, example ["http://example.io"].
html_tag HTML Tag to parse, string type, optional, defaults to "a" being Links, example "h1".
case_insensitive Case Insensitive, True for Case Insensitive, boolean type, optional, defaults to True, example True.
deduplicate_urls Deduplicate list_of_urls removing repeated URLs, boolean type, optional, defaults to False, example False.
threads Passing threads = True uses Multi-Threading, threads = False will Not use Multi-Threading, boolean type, optional, omitting it will Not use Multi-Threading.

Examples:

import faster_than_requests as requests
requests.scraper(["https://nim-lang.org", "http://example.com"], threads=True)

Returns: Scraped Webs.

scraper2()

Description: Multi-Tag Ready-Made URL-Deduplicating Web Scraper from a list of URLs. All arguments are optional, it only needs the URL to get to work. Scraper is designed to be like a 2-Step Web Scraper, that makes a first pass collecting all URL Links and then a second pass actually fetching those URLs. Requests are processed asynchronously. This means that it doesn’t need to wait for a request to be finished to be processed. You can think of this scraper as a parallel evolution of the original scraper.

Arguments:

list_of_urls List of URLs, URL must be string type, required, must not be empty list, example ["http://example.io"].
list_of_tags List of HTML Tags to parse, List type, optional, defaults to ["a"] being Links, example ["h1", "h2"].
case_insensitive Case Insensitive, True for Case Insensitive, boolean type, optional, defaults to True, example True.
deduplicate_urls Deduplicate list_of_urls removing repeated URLs, boolean type, optional, defaults to False, example False.
verbose Verbose, print to terminal console the progress, bool type, optional, defaults to True, example False.
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value, example 42.
threads Passing threads = True uses Multi-Threading, threads = False will Not use Multi-Threading, boolean type, optional, omitting it will Not use Multi-Threading.
agent User Agent, string type, optional, must not be empty string.
redirects Maximum Redirects, integer type, optional, defaults to 5, must be positive integer.
timeout Timeout, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to -1, must be a positive integer value, example 42.
header HTTP Header, any HTTP Headers can be put here, list type, optional, example [("key", "value")].
proxy_url HTTPS Proxy Full URL, string type, optional, must not be empty string.
proxy_auth HTTPS Proxy Authentication, string type, optional, defaults to "", empty string is ignored.

Examples:

import faster_than_requests as requests
requests.scraper2(["https://nim-lang.org", "http://example.com"], list_of_tags=["h1", "h2"], case_insensitive=False)

Returns: Scraped Webs.

scraper3()

Description: Multi-Tag Ready-Made URL-Deduplicating Web Scraper from a list of URLs.

This Scraper is designed with lots of extra options on the arguments. All arguments are optional, it only needs the URL to get to work. Scraper is designed to be like a 2-Step Web Scraper, that makes a first pass collecting all URL Links and then a second pass actually fetching those URLs. You can think of this scraper as a parallel evolution of the original scraper.

Arguments:

list_of_urls List of URLs, URL must be string type, required, must not be empty list, example ["http://example.io"].
list_of_tags List of HTML Tags to parse, List type, optional, defaults to ["a"] being Links, example ["h1", "h2"].
case_insensitive Case Insensitive, True for Case Insensitive, boolean type, optional, defaults to True, example True.
deduplicate_urls Deduplicate list_of_urls removing repeated URLs, boolean type, optional, defaults to False, example False.
start_with Match at the start of the line, similar to str().startswith(), string type, optional, example "<cite ".
ends_with Match at the end of the line, similar to str().endswith(), string type, optional, example "</cite>".
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value, example 42.
line_start Slice the line at the start by this index, integer type, optional, defaults to 0 meaning no slicing since string start at index 0, example 3 cuts off 3 letters of the line at the start.
line_end Slice the line at the end by this reverse index, integer type, optional, defaults to 1 meaning no slicing since string ends at reverse index 1, example 9 cuts off 9 letters of the line at the end.
pre_replacements List of tuples of strings to replace before parsing, replacements are in parallel, List type, optional, example [("old", "new"), ("red", "blue")] will replace "old" with "new" and will replace "red" with "blue".
post_replacements List of tuples of strings to replace after parsing, replacements are in parallel, List type, optional, example [("old", "new"), ("red", "blue")] will replace "old" with "new" and will replace "red" with "blue".
agent User Agent, string type, optional, must not be empty string.
redirects Maximum Redirects, integer type, optional, defaults to 5, must be positive integer.
timeout Timeout, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to -1, must be a positive integer value, example 42.
header HTTP Header, any HTTP Headers can be put here, list type, optional, example [("key", "value")].
proxy_url HTTPS Proxy Full URL, string type, optional, must not be empty string.
proxy_auth HTTPS Proxy Authentication, string type, optional, defaults to "", empty string is ignored.
verbose Verbose, print to terminal console the progress, bool type, optional, defaults to True, example False.

Examples:

import faster_than_requests as requests
requests.scraper3(["https://nim-lang.org", "http://example.com"], list_of_tags=["h1", "h2"], case_insensitive=False)

Returns: Scraped Webs.

scraper4()

Description: Images and Photos Ready-Made Web Scraper from a list of URLs.

The Images and Photos scraped from the first URL will be put into a new sub-folder named 0, Images and Photos scraped from the second URL will be put into a new sub-folder named 1, and so on. All arguments are optional, it only needs the URL to get to work. You can think of this scraper as a parallel evolution of the original scraper.

Arguments:

list_of_urls List of URLs, URL must be string type, required, must not be empty list, example ["https://unsplash.com/s/photos/cat", "https://unsplash.com/s/photos/dog"].
case_insensitive Case Insensitive, True for Case Insensitive, boolean type, optional, defaults to True, example True.
deduplicate_urls Deduplicate list_of_urls removing repeated URLs, boolean type, optional, defaults to False, example False.
visited_urls Do not visit same URL twice, even if redirected into, keeps track of visited URLs, bool type, optional, defaults to True.
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value, example 42.
folder Directory to download Images and Photos, string type, optional, defaults to current folder, must not be empty string, example /tmp.
force_extension Force file extension to be this file extension, string type, optional, defaults to ".jpg", must not be empty string, example ".png".
https_only Force to download images on Secure HTTPS only ignoring plain HTTP, sometimes HTTPS may redirect to HTTP, bool type, optional, defaults to False, example True.
html_output Collect all scraped Images and Photos into 1 HTML file with all elements scraped, bool type, optional, defaults to True, example False.
csv_output Collect all scraped URLs into 1 CSV file with all links scraped, bool type, optional, defaults to True, example False.
verbose Verbose, print to terminal console the progress, bool type, optional, defaults to True, example False.
print_alt print to terminal console the alt attribute of the Images and Photos, bool type, optional, defaults to False, example True.
picture Scrap images from the new HTML5 <picture> tags instead of <img> tags, <picture> are Responsive images for several resolutions but also you get duplicated images, bool type, optional, defaults to False, example True.
agent User Agent, string type, optional, must not be empty string.
redirects Maximum Redirects, integer type, optional, defaults to 5, must be positive integer.
timeout Timeout, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to -1, must be a positive integer value, example 42.
header HTTP Header, any HTTP Headers can be put here, list type, optional, example [("key", "value")].
proxy_url HTTPS Proxy Full URL, string type, optional, must not be empty string.
proxy_auth HTTPS Proxy Authentication, string type, optional, defaults to "", empty string is ignored.

Examples:

import faster_than_requests as requests
requests.scraper4(["https://unsplash.com/s/photos/cat", "https://unsplash.com/s/photos/dog"])

Returns: None.

scraper5()

Description: Recursive Web Scraper to SQLite Database, you give it an URL, it gives back an SQLite.

SQLite database can be visualized with any SQLite WYSIWYG, like https://sqlitebrowser.org If the script gets interrupted like with CTRL+C it will try its best to keep data consistent. Additionally it will create a CSV file with all the scraped URLs. HTTP Headers are stored as Pretty-Printed JSON. Date and Time are stored as Unix Timestamps. All arguments are optional, it only needs the URL and SQLite file path to get to work. You can think of this scraper as a parallel evolution of the original scraper.

Arguments:

list_of_urls List of URLs, URL must be string type, required, must not be empty list, example ["https://unsplash.com/s/photos/cat", "https://unsplash.com/s/photos/dog"].
sqlite_file_path Full file path to a new SQLite Database, must be .db file extension, string type, required, must not be empty string, example "scraped_data.db".
skip_ends_with Skip the URL if ends with this pattern, list type, optional, must not be empty list, example [".jpg", ".pdf"].
case_insensitive Case Insensitive, True for Case Insensitive, boolean type, optional, defaults to True, example True.
deduplicate_urls Deduplicate list_of_urls removing repeated URLs, boolean type, optional, defaults to False, example False.
visited_urls Do not visit same URL twice, even if redirected into, keeps track of visited URLs, bool type, optional, defaults to True.
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value, example 42.
https_only Force to download images on Secure HTTPS only ignoring plain HTTP, sometimes HTTPS may redirect to HTTP, bool type, optional, defaults to False, example True.
only200 Only commit to Database the successful scraping pages, ignore all errors, bool type, optional, example True.
agent User Agent, string type, optional, must not be empty string.
redirects Maximum Redirects, integer type, optional, defaults to 5, must be positive integer.
timeout Timeout, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to -1, must be a positive integer value, example 42.
max_loops Maximum total Loops to do while scraping, like a global guard for infinite redirections, integer type, optional, example 999.
max_deep Maximum total scraping Recursive Deep, like a global guard for infinite deep recursivity, integer type, optional, example 999.
header HTTP Header, any HTTP Headers can be put here, list type, optional, example [("key", "value")].
proxy_url HTTPS Proxy Full URL, string type, optional, must not be empty string.
proxy_auth HTTPS Proxy Authentication, string type, optional, defaults to "", empty string is ignored.

Examples:

import faster_than_requests as requests
requests.scraper5(["https://example.com"], "scraped_data.db")

Returns: None.

scraper6()

Description: Regex powered Web Scraper from a list of URLs. Scrap web content using a list of Perl Compatible Regular Expressions (PCRE standard). You can configure the Regular Expressions to be case insensitive or multiline or extended.

This Scraper is designed for developers that know Regular Expressions. Learn Regular Expressions.

All arguments are optional, it only needs the URL and the Regex to get to work. You can think of this scraper as a parallel evolution of the original scraper.

Regex Arguments: (Arguments focused on Regular Expression parsing and matching)

list_of_regex List of Perl Compatible Regular Expressions (PCRE standard) to match the URL against, List type, required, example ["(www|http:|https:)+[^\s]+[\w]"].
case_insensitive Case Insensitive Regular Expressions, do caseless matching, True for Case Insensitive, boolean type, optional, defaults to False, example True.
multiline Multi-Line Regular Expressions, ^ and $ match newlines within data, boolean type, optional, defaults to False, example True.
extended Extended Regular Expressions, ignore all whitespaces and # comments, boolean type, optional, defaults to False, example True.
dot Dot . matches anything, including new lines, boolean type, optional, defaults to False, example True.
start_with Perl Compatible Regular Expression to match at the start of the line, similar to str().startswith() but with Regular Expressions, string type, optional.
ends_with Perl Compatible Regular Expression to match at the end of the line, similar to str().endswith() but with Regular Expressions, string type, optional.
post_replacement_regex Perl Compatible Regular Expressions (PCRE standard) to replace after parsing, string type, optional, this option works with post_replacement_by, this is like a Regex post-processing, this option is for experts on Regular Expressions.
post_replacement_by string to replace by after parsing, string type, optional, this option works with post_replacement_regex, this is like a Regex post-processing, this option is for experts on Regular Expressions.
re_start Perl Compatible Regular Expression matchs start at this index, positive integer type, optional, defaults to 0, this option is for experts on Regular Expressions.

Arguments:

list_of_urls List of URLs, URL must be string type, required, must not be empty list, example ["http://example.io"].
deduplicate_urls Deduplicate list_of_urls removing repeated URLs, boolean type, optional, defaults to False, example False.
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value, example 42.
agent User Agent, string type, optional, must not be empty string.
redirects Maximum Redirects, integer type, optional, defaults to 5, must be positive integer.
timeout Timeout, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to -1, must be a positive integer value, example 42.
header HTTP Header, any HTTP Headers can be put here, list type, optional, example [("key", "value")].
proxy_url HTTPS Proxy Full URL, string type, optional, must not be empty string.
proxy_auth HTTPS Proxy Authentication, string type, optional, defaults to "", empty string is ignored.
verbose Verbose, print to terminal console the progress, bool type, optional, defaults to True, example False.

Examples:

import faster_than_requests as requests
requests.scraper6(["http://nim-lang.org", "http://python.org"], ["(www|http:|https:)+[^\s]+[\w]"])

Returns: Scraped Webs.

scraper7()

Description: CSS Selector powered Web Scraper. Scrap web content using a CSS Selector. The CSS Syntax does NOT take Regex nor Regex-like syntax nor literal tag attribute values.

All arguments are optional, it only needs the URL and CSS Selector to get to work. You can think of this scraper as a parallel evolution of the original scraper.

Arguments:

url The URL, string type, required, must not be empty string, example "http://python.org".
css_selector CSS Selector, string type, required, must not be empty string, example "body nav.class ul.menu > li > a".
agent User Agent, string type, optional, must not be empty string.
redirects Maximum Redirects, integer type, optional, defaults to 9, must be positive integer.
timeout Timeout, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to -1, must be a positive integer value, example 42.
header HTTP Header, any HTTP Headers can be put here, list type, optional, example [("key", "value")].
proxy_url HTTPS Proxy Full URL, string type, optional, must not be empty string.
proxy_auth HTTPS Proxy Authentication, string type, optional, defaults to "", empty string is ignored.

Examples:

import faster_than_requests as requests
requests.scraper7("http://python.org", "body > div.class a#someid")

import faster_than_requests as requests
requests.scraper7("https://nim-lang.org", "a.pure-menu-link")

[
  '<a class="pure-menu-link" href="/blog.html">Blog</a>',
  '<a class="pure-menu-link" href="/features.html">Features</a>',
  '<a class="pure-menu-link" href="/install.html">Download</a>',
  '<a class="pure-menu-link" href="/learn.html">Learn</a>',
  '<a class="pure-menu-link" href="/documentation.html">Documentation</a>',
  '<a class="pure-menu-link" href="https://forum.nim-lang.org">Forum</a>',
  '<a class="pure-menu-link" href="https://github.com/nim-lang/Nim">Source</a>'
]

More examples: https://github.com/juancarlospaco/faster-than-requests/blob/master/examples/web_scraper_via_css_selectors.py

Returns: Scraped Webs.

websocket_ping()

Description: WebSocket Ping.

Arguments:

url the remote URL, string type, required, must not be empty string, example "ws://echo.websocket.org".
data data to send, string type, optional, can be empty string, default is empty string, example "".
hangup Close the Socket without sending a close packet, optional, default is False, not sending close packet can be faster.

Examples:

import faster_than_requests as requests
requests.websocket_ping("ws://echo.websocket.org")

Returns: Response, string type, can be empty string.

websocket_send()

Description: WebSocket send data, binary or text.

Arguments:

url the remote URL, string type, required, must not be empty string, example "ws://echo.websocket.org".
data data to send, string type, optional, can be empty string, default is empty string, example "".
is_text if True data is sent as Text else as Binary, optional, default is False.
hangup Close the Socket without sending a close packet, optional, default is False, not sending close packet can be faster.

Examples:

import faster_than_requests as requests
requests.websocket_send("ws://echo.websocket.org", "data here")

Returns: Response, string type.

get2str()

Description: Takes an URL string, makes an HTTP GET and returns a string with the response Body.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://archlinux.org.

Examples:

import faster_than_requests as requests
requests.get2str("http://example.com")

Returns: Response body, string type, can be empty string.

get2str2()

Description: Takes a list of URLs, makes 1 HTTP GET for each URL, and returns a list of strings with the response Body. This makes all GET fully parallel, in a single Thread, in a single Process.

Arguments:

list_of_urls A list of the remote URLs, list type, required. Objects inside the list must be string type.

Examples:

import faster_than_requests as requests
requests.get2str2(["http://example.com/foo", "http://example.com/bar"]) # Parallel GET

Returns: List of response bodies, list type, values of the list are string type, values of the list can be empty string, can be empty list.

get2dict()

Description: Takes an URL, makes an HTTP GET, returns a dict with the response Body.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://alpinelinux.org.

Examples:

import faster_than_requests as requests
requests.get2dict("http://example.com")

Returns: Response, dict type, values of the dict are string type, values of the dict can be empty string, but keys are always consistent.

get2json()

Description: Takes an URL, makes an HTTP GET, returns a Minified Computer-friendly single-line JSON with the response Body.

Arguments:

url the remote URL, string type, required, must not be empty string, example https://alpinelinux.org.
pretty_print Pretty Printed JSON, optional, defaults to False.

Examples:

import faster_than_requests as requests
requests.get2json("http://example.com", pretty_print=True)

Returns: Response Body, Pretty-Printed JSON.

post2str()

Description: Takes an URL, makes an HTTP POST, returns the response Body as string type.

Arguments:

url the remote URL, string type, required, must not be empty string.
body the Body data, string type, required, can be empty string.
multipart_data MultiPart data, optional, list of tupes type, must not be empty list, example [("key", "value")].

Examples:

import faster_than_requests as requests
requests.post2str("http://example.com/api/foo", "My Body Data Here")

Returns: Response body, string type, can be empty string.

post2dict()

Description: Takes an URL, makes a HTTP POST on that URL, returns a dict with the response.

Arguments:

url the remote URL, string type, required, must not be empty string.
body the Body data, string type, required, can be empty string.
multipart_data MultiPart data, optional, list of tupes type, must not be empty list, example [("key", "value")].

Examples:

import faster_than_requests as requests
requests.post2dict("http://example.com/api/foo", "My Body Data Here")

Returns: Response, dict type, values of the dict are string type, values of the dict can be empty string, but keys are always consistent.

post2json()

Description: Takes a list of URLs, makes 1 HTTP GET for each URL, returns a list of responses.

Arguments:

url the remote URL, string type, required, must not be empty string.
body the Body data, string type, required, can be empty string.
multipart_data MultiPart data, optional, list of tupes type, must not be empty list, example [("key", "value")].
pretty_print Pretty Printed JSON, optional, defaults to False.

Examples:

import faster_than_requests as requests
requests.post2json("http://example.com/api/foo", "My Body Data Here")

Returns: Response, string type.

post2list()

Description: Takes a list of URLs, makes 1 HTTP POST for each URL, returns a list of responses.

Arguments:

list_of_urls the remote URLS, list type, required, the objects inside the list must be string type.
body the Body data, string type, required, can be empty string.
multipart_data MultiPart data, optional, list of tupes type, must not be empty list, example [("key", "value")].

Examples:

import faster_than_requests as requests
requests.post2list("http://example.com/api/foo", "My Body Data Here")

Returns: List of response bodies, list type, values of the list are string type, values of the list can be empty string, can be empty list.

download()

Description: Takes a list of URLs, makes 1 HTTP GET for each URL, returns a list of responses.

Arguments:

url the remote URL, string type, required, must not be empty string.
filename the local filename, string type, required, must not be empty string, full path recommended, can be relative path, includes file extension.

Examples:

import faster_than_requests as requests
requests.download("http://example.com/api/foo", "my_file.ext")

Returns: None.

download2()

Description: Takes a list of URLs, makes 1 HTTP GET Download for each URL of the list.

Arguments:

list_of_files list of tuples, tuples must be 2 items long, first item is URL and second item is filename. The remote URL, string type, required, must not be empty string, is the first item on the tuple. The local filename, string type, required, must not be empty string, can be full path, can be relative path, must include file extension.
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value.
threads Passing threads = True uses Multi-Threading, threads = False will Not use Multi-Threading, omitting it will Not use Multi-Threading.

Examples:

import faster_than_requests as requests
requests.download2([("http://example.com/cat.jpg", "kitten.jpg"), ("http://example.com/dog.jpg", "doge.jpg")])

Returns: None.

download3()

Description: Takes a list of URLs, makes 1 HTTP GET Download for each URL of the list. It will Retry again and again in loop until the file is downloaded or tries is 0, whatever happens first. If all retries have failed and tries is 0 it will error out.

Arguments:

list_of_files list of tuples, tuples must be 2 items long, first item is URL and second item is filename. The remote URL, string type, required, must not be empty string, is the first item on the tuple. The local filename, string type, required, must not be empty string, can be full path, can be relative path, must include file extension.
delay Delay between a download and the next one, MicroSeconds precision (1000 = 1 Second), integer type, optional, defaults to 0, must be a positive integer value.
tries how many Retries to try, positive integer type, optional, defaults to 9, must be a positive integer value.
backoff Back-Off between retries, positive integer type, optional, defaults to 2, must be a positive integer value.
jitter Jitter applied to the Back-Off between retries (Modulo math operation), positive integer type, optional, defaults to 2, must be a positive integer value.
verbose be Verbose, bool type, optional, defaults to True.

Returns: None.

Examples:

import faster_than_requests as requests
requests.download3(
  [("http://INVALID/cat.jpg", "kitten.jpg"), ("http://INVALID/dog.jpg", "doge.jpg")],
  delay = 1, tries = 9, backoff = 2, jitter = 2, verbose = True,
)

Examples of Failed download output (intended):

$ python3 example_fail_all_retry.py

Retry: 3 of 3
(url: "http://NONEXISTENT", filename: "a.json")
No such file or directory
Additional info: "Name or service not known"
Retrying in 64 microseconds...
Retry: 2 of 3
(url: "http://NONEXISTENT", filename: "a.json")
No such file or directory
Additional info: "Name or service not known"
Retrying in 128 microseconds (Warning: This is the last Retry!).
Retry: 1 of 3
(url: "http://NONEXISTENT", filename: "a.json")
No such file or directory
Additional info: "Name or service not known"
Retrying in 256 microseconds (Warning: This is the last Retry!).
Traceback (most recent call last):
  File "example_fail_all_retry.py", line 3, in <module>
    downloader.download3()
  ...

$

set_headers()

Description: Set the HTTP Headers from the arguments. This is for the functions that NOT allow http_headers as argument.

Arguments:

http_headers HTTP Headers, List of Tuples type, required, example [("key", "value")], example [("DNT", "1")]. List of tuples, tuples must be 2 items long, must not be empty list, must not be empty tuple, the first item of the tuple is the key and second item of the tuple is value, keys must not be empty string, values can be empty string, both must the stripped.

Examples:

import faster_than_requests as requests
requests.set_headers(headers = [("key", "value")])

import faster_than_requests as requests
requests.set_headers([("key0", "value0"), ("key1", "value1")])

import faster_than_requests as requests
requests.set_headers([("content-type", "text/plain"), ("dnt", "1")])

Returns: None.

multipartdata2str()

Description: Takes MultiPart Data and returns a string representation. Converts MultipartData to 1 human readable string. The human-friendly representation is not machine-friendly, so is not Serialization nor Stringification, just for humans. It is faster and different than stdlib parse_multipart.

Arguments:

multipart_data MultiPart data, optional, list of tupes type, must not be empty list, example [("key", "value")].

Examples:

import faster_than_requests as requests
requests.multipartdata2str([("key", "value")])

Returns: string.

datauri()

Description: Takes data and returns a standard Base64 Data URI (RFC-2397). At the time of writing Python stdlib does not have a function that returns Data URI (RFC-2397) on base64 module. This can be used as URL on HTML/CSS/JS. It is faster and different than stdlib base64.

Arguments:

data Arbitrary Data, string type, required.
mime MIME Type of data, string type, required, example "text/plain".
encoding Encoding, string type, required, defaults to "utf-8", example "utf-8", "utf-8" is recommended.

Examples:

import faster_than_requests as requests
requests.datauri("Nim", "text/plain")

Returns: string.

urlparse()

Description: Parse any URL and return parsed primitive values like scheme, username, password, hostname, port, path, query, anchor, opaque, etc. It is faster and different than stdlib urlparse.

Arguments:

url The URL, string type, required.

Examples:

import faster_than_requests as requests
requests.urlparse("https://nim-lang.org")

Returns: scheme, username, password, hostname, port, path, query, anchor, opaque, etc.

urlencode()

Description: Encodes a URL according to RFC-3986, string to string. It is faster and different than stdlib urlencode.

Arguments:

url The URL, string type, required.
use_plus When use_plus is true, spaces are encoded as + instead of %20.

Examples:

import faster_than_requests as requests
requests.urlparse("https://nim-lang.org", use_plus = True)

Returns: string.

urldecode()

Description: Decodes a URL according to RFC-3986, string to string. It is faster and different than stdlib unquote.

Arguments:

url The URL, string type, required.
use_plus When use_plus is true, spaces are decoded as + instead of %20.

Examples:

import faster_than_requests as requests
requests.urldecode(r"https%3A%2F%2Fnim-lang.org", use_plus = False)

Returns: string.

encodequery()

Description: Encode a URL according to RFC-3986, string to string. It is faster and different than stdlib quote_plus.

Arguments:

query List of Tuples, required, example [("key", "value")], example [("DNT", "1")].
omit_eq If the value is an empty string then the ="" is omitted, unless omit_eq is false.
use_plus When use_plus is true, spaces are decoded as + instead of %20.

Examples:

import faster_than_requests as requests
requests.encodequery([("key", "value")], use_plus = True, omit_eq = True)

Returns: string.

encodexml()

Description: Convert the characters &, <, >, " in a string to an HTML-safe string, output is Valid XML. Use this if you need to display text that might contain such characters in HTML, SVG or XML. It is faster and different than stdlib html.escape.

Arguments:

s Arbitrary string, required.

Examples:

import faster_than_requests as requests
requests.encodexml("<h1>Hello World</h1>")

Returns: string.

minifyhtml()

Description: Fast HTML and SVG Minifier. Not Obfuscator.

Arguments:

html HTML string, required.

Examples:

import faster_than_requests as requests
requests.minifyhtml("<h1>Hello</h1>          <h1>World</h1>")

Returns: string.

gen_auth_header()

Description: Helper for HTTP Authentication headers.

Returns 1 string kinda like "Basic base64(username):base64(username)", so it can be used like [ ("Authorization": gen_auth_header("username", "password") ) ]. See #168 (comment)

Arguments:

username Username string, must not be empty string, required.
password Password string, must not be empty string, required.

Returns: string.

debugs

**Description:** Debug the internal Configuration of the library, takes no arguments, returns nothing, prints the pretty-printed human-friendly multi-line JSON Configuration to standard output terminal.

Examples:

import faster_than_requests as requests
requests.debugs()

Arguments: None.

Returns: None.

optimizeGC()

Description: This module uses compile-time deterministic memory management GC (kinda like Rust, but for Python). Python at run-time makes a pause, runs a Garbage Collector, and resumes again after the pause.

gctricks.optimizeGC allows you to omit the Python GC pauses at run-time temporarily on a context manager block, this is the proper way to use this module for Benchmarks!, this is optional but recommended, we did not invent this, this is inspired from work from Instagram Engineering team and battle tested by them:

https://instagram-engineering.com/dismissing-python-garbage-collection-at-instagram-4dca40b29172

This is NOT a function, it is a context manager, it takes no arguments and wont return.

This calls init_client() at start and close_client() at end automatically.

Examples:

from gctricks import optmizeGC

with optmizeGC:
  # All your HTTP code here. Chill the GC. Calls init_client() and close_client() automatically.

# GC run-time pauses enabled again.

init_client()

Description: Instantiate the HTTP Client object, for deferred initialization, call it before the start of all HTTP operations.

get(), post(), put(), patch(), delete(), head() do NOT need this, because they auto-init, this exist for performance reasons to defer the initialization and was requested by the community.

This is optional but recommended.

Read optimizeGC documentation before using.

Arguments: None.

Examples:

import faster_than_requests as requests
requests.init_client()
# All your HTTP code here.

Returns: None.

close_client()

Description: Tear down the HTTP Client object, for deferred de-initialization, call it after the end of all HTTP operations.

get(), post(), put(), patch(), delete(), head() do NOT need this, because they auto-init, this exist for performance reasons to defer the de-initialization and was requested by the community.

This is optional but recommended.

Read optimizeGC documentation before using.

Arguments: None.

Examples:

import faster_than_requests as requests
# All your HTTP code here.
requests.close_client()

Returns: None.

For more Examples check the Examples and Tests.

Instead of having a pair of functions with a lot of arguments that you should provide to make it work, we have tiny functions with very few arguments that do one thing and do it as fast as possible.

A lot of functions are oriented to Data Science, Big Data, Open Data, Web Scrapping, working with HTTP REST JSON APIs.

Install

pip install faster_than_requests

Docker

Make a quick test drive on Docker!.

$ ./build-docker.sh
$ ./run-docker.sh
$ ./server4benchmarks &  # Inside Docker.
$ python3 benchmark.py   # Inside Docker.

Dependencies

None

Platforms

✅ Linux
✅ Windows
✅ Mac
✅ Android
✅ Raspberry Pi
✅ BSD

Extras

More Faster Libraries...

https://github.com/juancarlospaco/faster-than-csv#faster-than-csv
https://github.com/juancarlospaco/faster-than-walk#faster-than-walk
We want to make Open Source faster, better, stronger.

Requisites

Python 3.
64 Bit.

Windows

Documentation assumes experience with Git, GitHub, cmd, Compiled software, PC with Administrator.
If installation fails on Windows, just use the Source Code:

The only software needed is Git for Windows and Nim.

Reboot after install. Administrator required for install. Everything must be 64Bit.

If that fails too, dont waste time and go directly for Docker for Windows..

For info about how to install Git for Windows, read Git for Windows Documentation.

For info about how to install Nim, read Nim Documentation.

For info about how to install Docker for Windows., read Docker for Windows. Documentation.

GitHub Actions Build everything from zero on each push, use it as guidance too.

Git Clone and Compile on Windows 10 on just 2 commands!.
Alternatively you can try Docker for Windows.
Alternatively you can try WSL for Windows.
The file extension must be .pyd, NOT .dll. Compile with -d:ssl to use HTTPS.

nimble install nimpy
nim c -d:ssl -d:danger --app:lib --tlsEmulation:on --out:faster_than_requests.pyd faster_than_requests.nim

FAQ

Whats the idea, inspiration, reason, etc ?.

Feel free to Fork, Clone, Download, Improve, Reimplement, Play with this Open Source. Make it 10 times faster, 10 times smaller.

This works with SSL ?.

Yes.

This works without SSL ?.

Yes.

This requires Cython ?.

No.

This runs on PyPy ?.

No.

This runs on Python2 ?.

I dunno. (Not supported)

This runs on 32Bit ?.

No.

This runs with Clang ?.

No.

Where to get help ?.

https://github.com/juancarlospaco/faster-than-requests/issues

How to set the URL ?.

url="http://example.com" (1st argument always).

How to set the HTTP Body ?.

body="my body"

How to set an HTTP Header key=value ?.

set_headers()

How can be faster than PyCurl ?.

I dunno.

Why use Tuple instead of Dict for HTTP Headers ?.

For speed performance reasons, dict is slower, bigger, heavier and mutable compared to tuple.

Why needs 64Bit ?.

Maybe it works on 32Bit, but is not supported, integer sizes are too small, and performance can be worse.

Why needs Python 3 ?.

Maybe it works on Python 2, but is not supported, and performance can be worse, we suggest to migrate to Python3.

Can I wrap the functions on a try: except: block ?.

Functions do not have internal try: except: blocks, so you can wrap them inside try: except: blocks if you need very resilient code.

PIP fails to install or fails build the wheel ?.

Add at the end of the PIP install command:

--isolated --disable-pip-version-check --no-cache-dir --no-binary :all:

Not my Bug.

How to Build the project ?.

build.sh or build.nims

How to Package the project ?.

package.sh or package.nims

This requires Nimble ?.

No.

Whats the unit of measurement for speed ?.

Unmmodified raw output of Python timeit module.

Please send Pull Request to Python to improve the output of timeit.

The LoC is a lie, not counting the lines of code of the Compiler ?.

Projects that use Cython wont count the whole Cython on the LoC, so we wont neither.

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.github		.github
dist/faster_than_requests		dist/faster_than_requests
docker		docker
docs		docs
examples		examples
faster_than_requests		faster_than_requests
img		img
tests		tests
.gitattributes		.gitattributes
.gitignore		.gitignore
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
CapSolver Ads.png		CapSolver Ads.png
LICENSE		LICENSE
README.md		README.md
package4pypi.sh		package4pypi.sh
upload2pypi.sh		upload2pypi.sh

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juancarlospaco/faster-than-requests

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Faster-than-Requests

Use

Table Of Contents

get()

post()

put()

delete()

patch()

head()

to_dict()

to_json()

to_tuples()

Extras: Go beyond requests

scraper()

scraper2()

scraper3()

scraper4()

scraper5()

scraper6()

scraper7()

websocket_ping()

websocket_send()

get2str()

get2str2()

get2dict()

get2json()

post2str()

post2dict()

post2json()

post2list()

download()

download2()

download3()

set_headers()

multipartdata2str()

datauri()

urlparse()

urlencode()

urldecode()

encodequery()

encodexml()

minifyhtml()

gen_auth_header()

debugs

optimizeGC()

init_client()

close_client()

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