Need to write python code in Google Colab for scraping website
Budget: €8 – €30 EUR
Need to write python code in Google Colab that can scrape elements values from json site and export to csv.
Elements - ("symbol", "name", "price", "wallStreetTargetPrice", "strongBuy", "buy", "hold", "sell", "strongSell")
Website - https://finance.api.wolfstreet.ru/owerview/company/(x)
Replace (x) with, for example, AAPL or MSFT
Instead of (x) I should be able to apply many different stock tickers one at a time when running the code *see screenshot_1*.
The perfect, final csv from Colab is shown on screenshot_2.
Or you can do it as in screenshot_3 and I can copy and do a transpose paste in Excel later. I can also add the headings("symbol", "name", etc.) in Excel later myself, it's not a problem. By the way, the value of "price" is under the "quote".
The work will be completed when I get the final code, test it in Google Colab and get the results in csv format.
That's it! Good luck!
Elements - ("symbol", "name", "price", "wallStreetTargetPrice", "strongBuy", "buy", "hold", "sell", "strongSell")
Website - https://finance.api.wolfstreet.ru/owerview/company/(x)
Replace (x) with, for example, AAPL or MSFT
Instead of (x) I should be able to apply many different stock tickers one at a time when running the code *see screenshot_1*.
The perfect, final csv from Colab is shown on screenshot_2.
Or you can do it as in screenshot_3 and I can copy and do a transpose paste in Excel later. I can also add the headings("symbol", "name", etc.) in Excel later myself, it's not a problem. By the way, the value of "price" is under the "quote".
The work will be completed when I get the final code, test it in Google Colab and get the results in csv format.
That's it! Good luck!