LinkedIn Ads Scraper for Clay avatar
LinkedIn Ads Scraper for Clay

Pricing

Pay per usage

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LinkedIn Ads Scraper for Clay

LinkedIn Ads Scraper for Clay

Developed by

scrapersforclay

Maintained by Community

This actor scrapes the ads a company is running on LinkedIn for easy use in Clay tables. Just enter the company name, date and number of results you would like to get.

5.0 (1)

Pricing

Pay per usage

8

Monthly users

7

Runs succeeded

95%

Response time

2.3 days

Last modified

4 months ago

You can access the LinkedIn Ads Scraper for Clay 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 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 = { "proxyConfiguration": { "useApifyProxy": False } }
9
10# Run the Actor and wait for it to finish
11run = client.actor("gtm_engineer/linkedin-ads-scraper-for-clay").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 Scraper for Clay API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Ads Scraper for Clay API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Pricing

Pricing model

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.