Daily Financial News For 6000+ Stocks

Context

Gaining access to high-quality (historical) stock market news data is hard and expensive; subscriptions to historical news data provider services can cost thousands of dollars. Here, I've compiled stock news data scraped directly from its source into an easy-to-use format. I've also provided the scripts used to get this data and the scripts I use for personally trading this data in real-time here: https://github.com/bot-developer3/Scraping-Tools-Benzinga.

Content

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raw_analyst_ratings.csv

Directly-scraped raw analyst ratings

Columns are as follows: index, headline, URL, article author (publisher is always benzinga), publication timestamp, stock ticker symbol.

Note that all dates on this CSV file don't contain exact hour-minute-second information. If you plan on using this file to backtest (analyst_ratings_processed.csv is better), assume that the article was published the next day instead of the day shown on the current article.

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raw_partner_headlines.csv

Directly-scraped raw news headlines

Columns go as follows: index, headline, URL, publisher (NOT benzinga), date, stock ticker. For this CSV, it isn't possible to get exact dates

For this CSV, it isn't possible to get precise hour-minute-second timestamps for the dates. Do what is stated for backtesting in the previous note for this CSV too.

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analyst_ratings_processed.csv

Processed analyst ratings

Columns go as follows: article title, date, stock

Timezone is UTC-4. The difference between this and raw_analyst_headlines is that this has exact dates to the minute vs. raw_analyst_ratings which is only the day without hour or minutes.

Acknowledgements

The data was scraped from benzinga.com. The news articles are the property of Benzinga, not me.