Meta Ad Library Suggestions Scrapper
Pricing
Pay per event
Meta Ad Library Suggestions Scrapper
This APIFY actor queries Meta's Ad Library via GraphQL to return smart brand suggestions based on your input. Get rich metadata including page category, likes, verification status, Instagram handle, follower count, and direct Ad Library URLs.
5.0 (1)
Pricing
Pay per event
1
Total users
1
Monthly users
1
Last modified
a day ago
You can access the Meta Ad Library Suggestions Scrapper 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
10# Run the Actor and wait for it to finish11run = client.actor("scrapeio/meta-ad-library-suggestions-scrapper").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-startMeta Ad Library Suggestions Scrapper API in Python
The Apify API client for Python is the official library that allows you to use Meta Ad Library Suggestions Scrapper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
