Now delete both extract commands under your “pagination” selection by using the icons next to them.Use the icon next to your “pagination” selection to expand it.Scroll all the way down to the bottom of the page and click on the “next page” link.Now click on the PLUS(+) sign next to your “page” selection and choose the select command.First, use the browser tabs and the tabs on the left side of the app to go back to your main template and the search results page.Let’s now set it up to extract data from more pages of results. ParseHub is now extracting all the data you’ve selected from every business on the first page of search results. Use the PLUS(+) sign next to your page selection to add additional “Select” commands for any other data you might want to extract.In the left sidebar, rename your selection to “Email”. We will use this automatically created command and click on the “Email Business” button to extract the business email.The business page of the first business on the list will now open inside the app and a new select command will be automatically created.Click on “No” and name your template “product_template”. A pop-up will appear asking you if this a “next page” button.First, click on the PLUS(+) sign next to your “business” selection and choose the “click” command.If you already have all the data you want, skip to the next section. So let’s setup ParseHub to click on each listing on the page and extract more data. Now, you might want ParseHub to scrape business data that you cannot find on the search results page. Your project should look something like this: We will repeat these steps and extract the business address, number of reviews and business website.

Repeat steps 4-5 to select and extract more data from this page.

On the left sidebar, rename your selection to “phone”. An arrow will appear to show the association you’re creating.

Now click on the name of the first business on the page and then on the phone number next to it.

Start by clicking on the PLUS(+) sign next to your business selection and click on the “Relative Select” commands.

ParseHub is now extracting the name and yellow pages link for each business on the page.

All business names on the page will now be highlighted in green.

Now click on the second business name on the page to select them all.

In the left sidebar, rename your selection to “business”. The rest of the business names will be highlighted in Yellow. It will be highlighted in green to indicate that is has been selected.

Make your first selection by clicking on the name of the first business on the list.

In this case, we are scraping the search results page for coffee shops in Los Angeles.

Install and Open ParseHub, click on “New Project” and enter the URL you will be scraping.

It’s now time to start scraping data from Yellow Pages. Make sure to download ParseHub for free before we get started.įor today’s example, we will be scraping data from Yellow Page’s search results page for coffee shops in Los Angeles. ParseHub is a free and powerful web scraper that can scrape data from any website.

In this 2023 updated guide, we’ll use ParseHub, our free web scraper to extract data from Yellow Pages. This is true unless you use a web scraper to extract and download all the data you want. Including business data, addresses, phone numbers and more.

Unfortunately, there’s no way to easily download all the data from Yellow Pages to an Excel spreadsheet. Many ParseHub clients scrape Yellow Pages and other directories for lead generation purposes. While the days of thick yellow books might be over, Yellow Pages’ online directory is choke-full of valuable business information. Yellow Pages is one of the largest business directories in the world.

Yellow pages data extractor