Facebook Ads Library Scraper
Pricing
$15.00/month + usage
Facebook Ads Library Scraper
Stealthily decode competitors' Facebook ad strategies in real-time—scrape active campaigns, creatives, and audience targeting data with residential proxies. Gain actionable insights, track trends, and optimize your ads using their winning tactics, undetected.
5.0 (1)
Pricing
$15.00/month + usage
2
Total users
60
Monthly users
42
Runs succeeded
>99%
Response time
5.6 hours
Last modified
19 days ago
You can access the Facebook Ads Library Scraper programmatically from your own 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 = {
9 "startUrls": ["https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=GB&is_targeted_country=false&media_type=video&q=%22free%20shipping%22&search_type=keyword_exact_phrase&start_date[min]&start_date[max]=2025-02-15"],
10 "proxy": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("memo23/facebook-ads-library-scraper-cheerio").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startFacebook Ads Library Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Ads Library Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
