to_excel ( "BooksInTravelCategory.xlsx" ) DataFrame (BooksInfoList, columns = )ĭf. get_result_similar (TravelCategoryLink )īooksInfoList = for Url in BooksUrlList :īook_info = BookInfoScraper. #Scraping info of each book and storing into an excel fileīooksUrlList = BooksUrlScraper. build (BookPageUrl, wanted_list =WantedList ) build (TravelCategoryLink, wanted_list =WantedList ) The output of the script should look something like this:īooksUrlScraper. The Scraper.build() method scrapes the data similar to the wanted_list from the target URL.Īfter executing the Python script above, the ScrapedData list will have all the category page links available at. The AutoScraper() creates an AutoScraper object to initiate different functions of the autoscraper library. Therefore, we only provide a single link to the Travel category page as a sample data element. To get all the category page links from the target page, we need to give only one example data element to the WantedList. The WantedList is assigned sample data that we want to scrape from the given subject URL. Then, we provide the URL from which we want to scrape the information in the UrlToScrap. In the code above, we first import AutoScraper from the autoscraper library. build (UrlToScrape, wanted_list =WantedList ) print (ScrapedData ) There are actually several ways to install and use this library, but for this tutorial, we’re going to use the Python package index (PyPI) repository using the following pip command: In other words, it matches the data on the relevant web page and scrapes data that follow similar rules.įirst things first, let’s install the AutoScraper library. Automated web scraping with Python AutoScraper libraryĪutoScraper is a web scraping library written in Python3 it’s known for being lightweight, intelligent, and easy to use – even beginners can use it without an in-depth understanding of a web scraping.ĪutoScraper accepts the URL or HTML of any website and scrapes the data by learning some rules. This tutorial will show you how to automate your web scraping processes using AutoScaper – one of the several Python web scraping libraries available.īefore getting started, you may want to check out this in-depth guide for building an automated web scraper using various web scraping tools supported by Python. If you’re looking for a way to get public web data regularly scraped at a set time period, you’ve come to the right place.
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