![]() There are a few caveats I didn't discuss in the previous section. textĪ successful run of the code should print this in the terminal: The Pink Door find( 'a', text = "Get Directions")Īddress = address_sibling. You can access this exact page at this URL. The image below shows where all of this information is visually located on a restaurant page. This section will cover the extraction of: Let's move on and figure out how you can extract some additional information from the dedicated restaurant pages on Yelp. How to extract restaurant information from the Yelp restaurant page You can use the same method to extract restaurant images, price ranges, business tags, and whatever else you need. Sweet! Now you know how to extract all the information you need from the search results page. Running this file should result in an output similar to this: The Pink Door Hopefully, you will quickly spot a request made to the /search/snippet endpoint: Try to search for a new location on Yelp while having the Network tab open and observe the new requests made by the webpage. Developer Tools come by default with most major web browsers and allow you to inspect the HTML of the webpage and also the network requests made by it. ![]() Open up Developer Tools in your browser of choice and navigate to the Network tab. Luckily, this is true in Yelp's case too. This typically suggests that the website is using some sort of an API to query for the results and then updates the page based on that. The rest of the page stays the same and is not refreshed. If you observe, every new search query on Yelp refreshes only the results section. You will mainly use it to extract data from the individual restaurant pages which we will cover in the second half of this tutorial. Before you can use it though, you need to explore the HTML returned by Yelp and figure out which HTML tags contain the data you need to extract.Īs you will soon learn, you won't have to use BeautifulSoup to extract the search results data at all. If you followed the installation instructions at the beginning, you should already have BeautifulSoup installed. It is not the only library for this job but it has a very powerful and easy-to-use API that makes it the default choice for most programmers. You will be using BeautifulSoup for HTML parsing and data extraction in most web scraping tasks. You can access this particular page by going to this URL. This is what a typical search result page looks like on Yelp. If you're an absolute beginner in Python, you can read our full Python web scraping tutorial, it'll teach you everything you need to know to start! Fetching search result page Extract Yelp information without getting blocked.Extract restaurant information from the Yelp restaurant page. ![]()
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