Linkedin people search scraper avatar

Linkedin people search scraper

Try for free

7 days trial then $20.00/month - No credit card required now

View all Actors
Linkedin people search scraper

Linkedin people search scraper

curious_coder/linkedin-people-search-scraper
Try for free

7 days trial then $20.00/month - No credit card required now

Scrape search results from linkedin people search. Perform search on linkedin and pass the resulting url from address bar to this actor to scrape profiles.

You can access the Linkedin people search 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    "startPage": 1,
10    "minDelay": 2,
11    "maxDelay": 5,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("curious_coder/linkedin-people-search-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin people search scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin people search 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
  • 39 monthly users
  • 4 stars
  • 97.1% runs succeeded
  • 43 days response time
  • Created in May 2023
  • Modified about 2 months ago
Categories