LinkedIn Ads Library Scraper avatar

LinkedIn Ads Library Scraper

Try for free

2 hours trial then $9.99/month - No credit card required now

View all Actors
LinkedIn Ads Library Scraper

LinkedIn Ads Library Scraper

easyapi/linkedin-ads-library-scraper
Try for free

2 hours trial then $9.99/month - No credit card required now

Effortlessly scrape LinkedIn's Ad Library for comprehensive ad data. Extract company names, ad content, images, and more from multiple search queries. Perfect for competitive analysis, market research, and advertising inspiration. Automate your LinkedIn ad intelligence gathering today!

You can access the LinkedIn Ads Library 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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("easyapi/linkedin-ads-library-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

LinkedIn Ads Library Scraper API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Ads Library 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
  • 6 monthly users
  • 0 stars
  • 96.9% runs succeeded
  • Created in Oct 2024
  • Modified 29 days ago