Linkedin Profile Scraper ( BULK/MASS ) avatar
Linkedin Profile Scraper ( BULK/MASS )
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Pay $10.00 for 1,000 responses

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Linkedin Profile Scraper ( BULK/MASS )

Linkedin Profile Scraper ( BULK/MASS )

breathtaking_chestnut/apify-linkedin-profile-scraper-bulk
Try for free

Pay $10.00 for 1,000 responses

It can scrape 50 linkedin profiles in one go. Each badge contains 50 profiles. So $1 per 1000 profiles and $50 per 50000 profiles ( 1000 badges ). If you need to scrape more than 1M Profiles, kindly get a private premium actor from us by opening a new issue with title "Need Premium Actor"

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "links": [
8        "http://www.linkedin.com/in/luke-sharp-b3838719a",
9        "http://www.linkedin.com/in/hollie-smith-96ab44b5",
10        "http://www.linkedin.com/in/jeannie-wyrick-b4760710a",
11        "http://www.linkedin.com/in/rodneydbainjr",
12        "http://www.linkedin.com/in/arielschmid",
13        "http://www.linkedin.com/in/christopher-ambrose-3248a540",
14        "http://www.linkedin.com/in/daniel-schmidt-611b15149",
15        "http://www.linkedin.com/in/alexandra-birurakis-326ba692",
16        "http://www.linkedin.com/in/paul-tomco-4b9709117",
17        "http://www.linkedin.com/in/lindseystevenss",
18        "http://www.linkedin.com/in/christophermichaelsmith",
19        "http://www.linkedin.com/in/shane-smith-4baa69126",
20        "http://www.linkedin.com/in/benbarnard",
21        "http://www.linkedin.com/in/gemayelabdullah",
22        "http://www.linkedin.com/in/jill-tuttle-a2704087",
23        "http://www.linkedin.com/in/daniel-yoo-123a4038",
24        "http://www.linkedin.com/in/claudia-sparks-7799546",
25        "http://www.linkedin.com/in/francesca-schena-710129195",
26        "http://www.linkedin.com/in/joseph-bonk-709969156",
27        "http://www.linkedin.com/in/ryan-hanson-8348b71a4",
28        "http://www.linkedin.com/in/mounika-banda-45a59b110",
29        "http://www.linkedin.com/in/dan-sigmans-4a7a3252",
30        "http://www.linkedin.com/in/alexanderharmon256",
31        "http://www.linkedin.com/in/sanj-appakonam-96680790",
32        "http://www.linkedin.com/in/bryson-bosson-0b68b915",
33        "http://www.linkedin.com/in/ian-healey-4b8649101",
34        "http://www.linkedin.com/in/dan-beauchamp-b200128",
35        "http://www.linkedin.com/in/bradley-hebert-78659b1a0",
36        "http://www.linkedin.com/in/keerthanasureshanand",
37        "http://www.linkedin.com/in/jdyork",
38        "http://www.linkedin.com/in/jessica-mintz-178b0a94",
39        "http://www.linkedin.com/in/mayela-bautista-07680042",
40        "http://www.linkedin.com/in/amritpal-singh-9a7bb1194",
41        "http://www.linkedin.com/in/thiago-alvares-9b485140",
42        "http://www.linkedin.com/in/adam-blossey-8b080538",
43        "http://www.linkedin.com/in/nathan-williard-328163a7",
44        "http://www.linkedin.com/in/steffanie-schrader",
45        "http://www.linkedin.com/in/carl-hayden-75044850",
46        "http://www.linkedin.com/in/nathan-schroeder-535646105",
47        "http://www.linkedin.com/in/david-akridge-5404a848",
48        "http://www.linkedin.com/in/mikesparling",
49        "http://www.linkedin.com/in/kevinworleyit",
50        "http://www.linkedin.com/in/maria-williams-48031823b",
51        "http://www.linkedin.com/in/joshua-bachleda-3075789a",
52        "http://www.linkedin.com/in/lisa-song-17989a2a",
53        "http://www.linkedin.com/in/james-tuttle-868b8194",
54    ] }
55
56# Run the Actor and wait for it to finish
57run = client.actor("breathtaking_chestnut/apify-linkedin-profile-scraper-bulk").call(run_input=run_input)
58
59# Fetch and print Actor results from the run's dataset (if there are any)
60for item in client.dataset(run["defaultDatasetId"]).iterate_items():
61    print(item)
Developer
Maintained by Community
Actor metrics
  • 18 monthly users
  • 100.0% runs succeeded
  • 0.0 days response time
  • Created in Feb 2024
  • Modified 5 days ago