Meta Ad Scraper
Pricing
from $1.00 / 1,000 ad collecteds
Meta Ad Scraper extracts profile input, profile name, ad archive id, ad library url, is active, start date, end date, page name, page like count, link url, cta text, images, impressions, spend for every row. Inputs: profile links, usernames, platform filter, ad status filter, ads per profile.
You can access the Meta Ad 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 API & Integrations 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 "facebook_urls": [{ "url": "https://www.facebook.com/nike" }],10 "platform": "all",11 "active_status": "all",12 "max_ads": 10,13 "proxyCountry": "US",14}15
16# Run the Actor and wait for it to finish17run = client.actor("crawlix/meta-ad-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Meta Ad Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: