Facebook Ads Scraper
Pricing
$5.00 / 1,000 campaigns
Facebook Ads Scraper
Extract advertising data from one or multiple Facebook Pages. Get page details, reach estimates, publisher platforms, report count, number of impressions, ad IDs, timestamps, and more. Download Facebook ads data in JSON, CSV, and Excel and use it in apps, spreadsheets, and reports.
4.5 (11)
Pricing
$5.00 / 1,000 campaigns
132
Total users
7.6k
Monthly users
741
Runs succeeded
>99%
Issue response
5.8 days
Last modified
5 days ago
You can access the Facebook Ads 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": [{ "url": "https://www.facebook.com/drive4quantix/?ref=page_internal" }],10 "resultsLimit": 99999,11 "activeStatus": "",12}13
14# Run the Actor and wait for it to finish15run = client.actor("apify/facebook-ads-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])19for item in client.dataset(run["defaultDatasetId"]).iterate_items():20 print(item)21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start📢 Facebook Ads Scraper API in Python
The Apify API client for Python is the official library that allows you to use Facebook Ads Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
