4/9/2023 0 Comments Webscraper duplicates![]() ![]() for example you may want to use proxies or custom headers: proxies = result = scraper. You can also pass any custom requests module parameter. Note that you should update the wanted_list if you want to copy this code, as the content of the page dynamically changes. build ( url, wanted_list ) print ( result ) Say we want to scrape live stock prices from yahoo finance: from autoscraper import AutoScraper url = '' wanted_list = scraper = AutoScraper () # Here we can also pass html content via the html parameter instead of the url (html=html_content) result = scraper. get_result_similar ( '' ) Getting exact result Now you can use the scraper object to get related topics of any stackoverflow page: scraper. wanted_list = scraper = AutoScraper () result = scraper. # You can also put urls here to retrieve urls. Say we want to fetch all related post titles in a stackoverflow page: from autoscraper import AutoScraper url = '' # We can add one or multiple candidates here. Install latest version from git repository using pip:.Then you can use this learned object with new urls to get similar content or the exact same element of those new pages. ![]() It learns the scraping rules and returns the similar elements. This data can be text, url or any html tag value of that page. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. ![]() This project is made for automatic web scraping to make scraping easy. AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python ![]()
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