NJSParser

A powerful parser and explorer for any website built with NextJS.

• Parses flight data (from the self.__next_f.push scripts).
• Parses next data from __NEXT_DATA__ script.
• Parses build manifests.
• Searches for build id.
• Many other things ...

It uses only lxml, orjson, pydantic to garantee a fast and efficient data parsing and processing.

Installation:

pip install njsparser

Use

CLI

You can use the cli from 3 different commands:

• njsp
• njsparser
• python3 -m njsparser.cli It has only one functionality of displaying informations about the website, like this: For more informations, use the --help argument with the command.

Parsing __next_f.

The data you find in __next_f is called flight data, and contains data under react format. You can parse it easily with njsparser the way it follows.

We will build a parser for the flight data example

1. In the website you want to parse, make sure you see the self.__next_f.push in the begining of script contained the data you search for. Here I am searching for the description "I should really have a better hobby, but this is it..." (in blue) in my page, and I can also see the self.__next_f.push (in green).
2. Then I will do this simple script, to parse, then dump the flight data of my website, and see what objects I am searching for:

   import requests
   import njsparser
   import json
   
   # Here I get my page's html
   response = requests.get("https://mediux.pro/user/r3draid3r04").text
   # Then I parse it with njsparser
   fd = njsparser.BeautifulFD(response)
   # Then I will write to json the content of the flight data
   with open("fd.json", "w") as write:
       # I use the njsparser.default function to support the dump of the flight data objects.
       json.dump(fd, write, indent=4, default=njsparser.default)

3. In my dumped flight data, I will search for the same string:
4. Then I will do to the closed "value" root to my found string, and look at the value of "cls". Here it is "Data":
5. Now that I know the "cls" (class) of object my data is contained in, I can search for it in my BeautifulFD object:

   import requests
   import njsparser
   import json
   
   # Here I get my page's html
   response = requests.get("https://mediux.pro/user/r3draid3r04").text
   # Then I parse it with njsparser
   fd = njsparser.BeautifulFD(response)
   # Then I iterate over the different classes `Data` in my flight data.
   for data in fd.find_iter([njsparser.T.Data]):
       # Then I make sure that the content of my data is not None, and
       # check if the key `"user"` is in the data's content. If it is,
       # then i break the loop of searching.
       if data.content is not None and "user" in data.content:
           break
   else:
       # If i didn't find it, i raise an error
       raise ValueError
   
   # Now i have the data of my user
   user = data.content["user"]
   # And I can print the string i was searching for before
   print(user["tagline"])

More informations:

• If your object is inside another object (e.g. "Data" in a "DataParent", or in a "DataContainer"), the .find_iter will also find it recursively (except if you set recursive=False).
• Make sure you use the correct flight data classes attributes when fetching their data. The class "Data" has a .content attribute. If you use .value, you will end up with the raw value and will have to parse it yourself. If you work with a "DataParent" object, instead of using .value (that will give you ["$", "$L16", None, {"children": ["$", "$L17", None, {"profile": {}}]}]), use .children (that will give you a "Data" object with a .content of {"profile": {}}). Check for the type file to see what classes you're interested in, and their attributes.
• You can also use .find on BeautifulFD to return the only first occurence of your query, or None if not found.

Parsing <script id='__NEXT_DATA__'>

Just do:

import njsparser

html_text = ...
data = njsparser.get_next_data(html_text)

If the page contains any script <script id='__NEXT_DATA__'>, it will return the json loaded data, otherwise will return None.