Downloading lots of images from a website can be quite time-consuming.

Right-click, Save Image As…, repeat ad nauseam.

You may want to scrape images from social media platforms such as Instagram, Pinterest, Twitter, Reddit or even product images from e-commerce websites.

In these cases, and with software available in 2023, web scraping is the solution to your problem. In this tutorial, we will go over how to extract the URL for every image on a webpage using a free web scraper.

We will also go over how to use this extracted list to quickly download all the images to your computer.

ParseHub and Web Scraping

In order to complete this simple task, you’ll need a web scraper that can collect the URLs in question. ParseHub is a free and incredibly powerful web scraper, the perfect candidate for this task.

Make sure to download and install ParseHub before getting started.

Scraping Image URLs

For this example, we will assume that we are interested in downloading every image for the first 5 pages of results on for “wireless earbuds”. This information could potentially be incredibly valuable for competitor analysis.

Getting Started

  1. After downloading ParseHub, make sure you have it up and running on your computer.
  2. Get the specific URL of the page we will be scraping.

Creating a Project

  1. In ParseHub, click on “New Project” and enter the URL from the Amazon website that we will be scraping.
  2. The webpage will now render in ParseHub and you will be able to choose the images you want to scrape.
Using ParseHub to scrape and download images on any site, using amazon for example
Using ParseHub to scrape and download images on any site, using amazon for example

Select Images to Scrape

  1. Begin by selecting the first image from the search results. It will then turn green, meaning it has been selected to be scraped.
web scraping images
web scraping images: earphones are getting scraped 
  1. The rest of the images in the search results page will then turn yellow. Click on the second image to select all the images in the page. They will all turn green, which means they have been selected to be extracted.
All imgaes that are getting scraped are selcted
all images that are going to get scraped are selected. 
  1. Since these images also act as links to the product pages, ParseHub is extracting both the image URL and the link it is pointing to (product page). As a result, we will delete the URL selection from the left sidebar and only keep the image selection.
delete extracted URL selections
  1. Now ParseHub will scrape every image URL for the first page of results.


Now we need to tell ParseHub to extract this same information but for the next 5 pages of search results.

  1. Click on the PLUS(+) sign next to the page selection and use the select command.
Click on the select function and choose the next button
click on select function and choose the next button. 
  1. Then click on the “Next” button and the bottom of the search results page.
  2. By default, ParseHub will extract the link from the Next button. So we will click on the icon next to the “Next” selection and remove the two items under it.
Click here to expand and delete both commands
Click here to expand and delete both selections
Delete URL from next button
delete url link from the next button
  1. We’ll then use the PLUS(+) sign next to the “next” selection and use the “click” command.
  2. A window will pop up asking if this is a Next Page link. Click “Yes” and enter the number of times you’d like this cycle to repeat. For this example, we will do it 5 times.
Click yes to deal with pagination
Click yes when asked if this a next page button to deal with pagination. 

Scrape and Export Data

Now comes the fun part, we will let ParseHub run and extract the list of URLs for every image we have selected.

  1. Click on the “Get Data” button on the left sidebar.
  2. Here you can select when to run your scrape. Although we always advise testing your scrape runs before running a full scrape, we’ll just run the scrape right now for this example.
Test, Run, Schedule options
  1. Now ParseHub will scrape the image URL’s you’ve selected. You can either wait on this screen or leave ParseHub, you will be notified once your scrape is complete. This process took less than 1 minute in this case.
  2. Once your data is ready to download, click on the CSV/Excel button. Now you can save and rename your file.

Download Images to your Device

Now that we have a list of all the URLs for every image, we will go ahead and download them to our device with one simple tool.

For this, we will use the Tab Save chrome extension.

Once installed on your browser, open the extension by clicking on its icon. This will open up the extension, then click on the edit button at the bottom left to enter the URLs we just extracted.

When you click on the download icon at the bottom right of the extension windows, all images will automatically be downloaded to your device. This might take a couple of seconds depending on how many images you are downloading.

Pressing the Download Button

Final Thoughts

Following every step on this guide, you will end up with a folder of all the images you needed to download. In this case, we downloaded over 330 images from Amazon in less than 5 minutes.

desktop of all scraped images

Now, if you’ll excuse me, I’ve got to go and delete all these images from my hard drive.

Image Scraping 2023: Other Solutions

There are other applications and browser extentions that promise mass image downloading, however many get blocked easily.

ParseHub comes with IP Rotation which you can enable in the 2023 version. This prevents you from getting blocked when parsing through thousands of pages and extracting images.

Download ParseHub for Free today

You may also be interested in reading other how to guides:

Or maybe you'd be interested in getting a web scraping certification? Check out or FREE Web Scraping courses and become certified today!