![]() ![]() Then click "Save".ĭrag the “Loop Item” box before the “Click to paginate” action of the “Cycle Pages” box in the workflow so that we can grab all the URLs of sections from multiple web pages.īecause the web page uses AJAX to scrape multiple web pages so we need to set AJAX timeout for the action. ➜ Click the item name ➜ C lick "Expand the selection area" button ➜ Select "Extract link(href attribute of A tag) of this item". ➜Then click "Finish Creating List" ➜ Click "loop" to process the list for extracting the URLs of these items.Įxtract the link of the first item. Now we get all the sections with similar layout. ➜ Click "Continue to edit the list".Ĭlick the second section ➜ Click "Add current item to the list" again. Then the first section has been added to the list. Click "Create a list of items" (sections with similar layout). Move your cursor over the section with similar layout, where you would extract the URLs.Ĭlick the first section ➜ Create a list of sections with similar layout. You can click "Expand the selection area" button until "Loop click in the element" appears. You can right click the "Next"pagination link to prevent triggering the link.ģ. If you want to extract information from every page of search result, you need to add a page navigation action.Ģ. Note: If the URL keeps loading while the content of the website has fully loaded, you can click the multiplication sign (×) to prevent it from loading.ġ. ➜ Choose "Loop click in the element" to turn the page. ![]() Set a timeout of 60 seconds under "Advanced Options" ➜ Click "Save". Enter the target URL in the built-in browser. Scraping the URLs needed for Task 2.Ĭlick "Quick Start" ➜ Choose "New Task (Advanced Mode)" ➜Complete basic information. (Download my extraction tasks of this tutorial HERE just in case you need it: Task 1, Task 2.) Or you can follow the steps below to make the scraping tasks to scrape data from. You can directly download the two tasks ( The OTD. The data fields include the restaurant name, the restaurant website, the price range, the menus, telphone, star rating and Food type. In this tutorial we will scrape the price ranges of all the r estaurants in New York, NY, United States on with Octoparse. Task 1 is used to scrape the URLs of all the restaurants and Task 2 is used to scrape the price ranges of these restaurants on. To scrape the price ranges of all the restaurants from as fast as possible, you can make two scraping tasks - Task 1 and Task 2. Then our cloud servers will collect the data shortly and provide you with a structured data-set. Octoparse enables you to scrape price range on Yelp. To speed up the extraction, you can use our Cloud Extraction to split the scraping task into many sub-tasks. ![]()
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