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This webscraper was built to extract relevant text information from earnings call transcripts in 2019 & 2020 from the SeekingAlpha website.
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This information includes: Date, Time, Ticker, Company Name, Call Name, Participants, Speech text, Q&A text.
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Next, the information is given unique ID variables and is sorted into tables and prepared for being added to MySQL. The data at this point can be used for analysis and/or NLP.
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Last, code is imported to allow the python data tables to be added into a MySQL database.
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RCJansonVTFL/SeekingAlphaWebScrape
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Code I built from scratch to scrape Seeking Alpha earnings call transcripts, organized the data in data frames, and stored the final data frames in MySQL.
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