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Google Shopping Ads Scraper

No credit card required!
1
Create a free account on Botster
2
Choose a bot and provide seed data
3
Start the bot and wait for completion
4
Download or share your results

About this bot

In short: This online tool will scrape Google Shopping Ads from search result pages.

Google Shopping Ads scraperHave a look at the demo output file for a better idea of what the bot scrapes.

Why scrape Google Shopping results for business?

This fast and simple Google scraping software can be used in multiple business branches, such as:

  • Trade
  • Bulk buying
  • Online stores
  • Offline stores
  • Online marketplaces and many more!

You can easily scrape Google Shopping prices and further details:

  • Search keyword
  • Type
  • Title
  • Price: current
  • Price: regular
  • Price: max value
  • Price: currency
  • Price is price range (true / false)
  • Price: displayed price
  • Source
  • Description
  • Marketplace
  • Marketplace URL
  • URL

How to scrape Google Shopping ads?

  • Sign up on Botster
  • Go to the bot's start page
  • Select the OS
  • Specify the device type
  • Select your location
  • Enter your keywords. Each query must go on a new line
  • Click the "Start this bot" button

That's it – the Google Shopping price scraper has started working!

Software walkthrough

1. Open the Launch bot form.

Click on the "Start bot" button on the right-hand side of this page to open the spider's form:

2. Enter the details.

Give your "Job" a meaningful title, and optionally specify (or create) a project folder:

3. Select the OS.

The Google Shopping feed checker can work with Windows or MacOS:

4. Specify the device type.

Choose between ‘Desktop’ and ‘Mobile’:

5. Select the language.

6. Specify your location.

Shopping ads results differ significantly depending on the location:

7. Enter your search queries.

Each keyword must go on a new line:

8. Specify time settings.

Tick the checkbox if you want this bot to scrape Google Shopping results regularly:

Once you’ve ticked the checkbox, the available options will appear. You can set the bot to perform its Google Shopping scraping job as often as:

  • every day
  • once a week
  • twice a week
  • once a month

If no longer needed, the job can be stopped either manually or at a certain date specified in advance:

9. Set up notifications.

Specify if you would like to receive a notification when the Google Shopping checker completes its crawl:

10. Start the bot!

Click the "Start this bot" button on the right-hand side:

That's it! You will be taken to your "Jobs" section. The software is now working and will notify you once it's done scraping Google Shopping ads.

Data output

After the bot completes the job you can download the results as a Google Shopping CSV table, Excel spreadsheet, or JSON file.

To use this bot you need to register or log in first.

Frequently asked questions

Yes, you can. Open the Google Shopping Ads Scraper’s start page and select the OS, device type, language, and location. Insert your search queries and launch the bot. No coding knowledge is required.

Yes, it can. To use the monitoring function, tick ‘Run this bot periodically’ on the bot’s start page and specify how often you would like to receive updates. The bot will send you the latest Shopping ads results at the times you’ve specified.

Once the Google Shopping Ads Scraper is done scraping, open your job, click on the menu in the top right corner, and select the CSV logo. The file will be automatically saved to your computer. Other formats available for download include Excel, JSON and Google Sheets.


Endpoint: POST https://botster.io/api/v2/bots/google-shopping-ads-scraper

Request body:

input string or array of strings (required)
Search queries

os TODO (optional)
OS

device TODO (optional)
Device

language TODO (optional)
Language

coordinates TODO (optional)
Location

Thumb w

Use it for competitor research. Great tool for tradespeople like me!

1/2
Thumb m

Analyzing current offers becomes much more convenient with this bot. It helps me improve my pricing strategy.

2/2


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