Google Ads Scraper avatar

Google Ads Scraper

Try for free

1 day trial then $30.00/month - No credit card required now

Go to Store
Google Ads Scraper

Google Ads Scraper

silva95gustavo/google-ads-scraper
Try for free

1 day trial then $30.00/month - No credit card required now

Extract text, image and video ads from Google Ads, scraped from the ad library provided by Google Ads Transparency Center. Gain access to ad details, ad copy, locations, and more. Dive deeper into the Google Ads Transparency Center for a competitive edge.

You can access the Google Ads Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "startUrls": [{ "url": "https://adstransparency.google.com/advertiser/AR08888592736429539329?authuser=0&region=ES&preset-date=Last+7+days" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("silva95gustavo/google-ads-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Ads Scraper API in Python

The Apify API client for Python is the official library that allows you to use Google Ads Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 112 monthly users

  • 32 stars

  • >99% runs succeeded

  • 9.7 hours response time

  • Created in Oct 2023

  • Modified 7 days ago