Linkedin Company Ads
3 days trial then $20.00/month - No credit card required now
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsLinkedin Company Ads
3 days trial then $20.00/month - No credit card required now
The linkedin company ads scraper will help you extract all metadata about every ads a company is running on linkedin For each ads, you have access to the number of likes, comments, shares and more Check our documentation. Enjoy ! and we take any feedback
You can access the Linkedin Company Ads 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 "companies": [
10 "https://www.linkedin.com/company/financial-times/",
11 "https://www.linkedin.com/company/bloomberg-news/",
12 ],
13 "ad_limit": 15,
14 "ad_description": "yes",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("saswave/linkedin-company-ads").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedin Company Ads API in Python
The Apify API client for Python is the official library that allows you to use Linkedin Company Ads API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
SASWAVEActor Metrics
1 monthly user
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1 star
Created in Aug 2022
Modified 6 months ago
