Linkedin profile scraper
3 days trial then $25.00/month - No credit card required now
Linkedin profile scraper
3 days trial then $25.00/month - No credit card required now
Scrape linkedin profile urls and get complete profile details including basic info, position history, skills, company details, bio, location, etc
2024-07-13T12:35:47.072Z ACTOR: Pulling Docker image of build ZNN5QB4yiG5ivbmcX from repository. 2024-07-13T12:35:47.183Z ACTOR: Creating Docker container. 2024-07-13T12:35:47.325Z ACTOR: Starting Docker container. 2024-07-13T12:35:50.219Z INFO System info {"apifyVersion":"3.2.3","apifyClientVersion":"2.9.4","crawleeVersion":"3.10.5","osType":"Linux","nodeVersion":"v16.20.2"} 2024-07-13T12:35:50.430Z TypeError: Cannot read properties of undefined (reading 'match') 2024-07-13T12:35:50.432Z at file:///usr/src/app/src/client.js:17:62 2024-07-13T12:35:50.434Z at Array.filter () 2024-07-13T12:35:50.435Z at new Client (file:///usr/src/app/src/client.js:17:31) 2024-07-13T12:35:50.437Z at file:///usr/src/app/src/main.js:69:16 2024-07-13T12:35:50.439Z at processTicksAndRejections (node:internal/process/task_queues:96:5)
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Please share the URL of the run where you faced this issue. You can find your runs on this page: https://console.apify.com/actors/runs
from apify_client import ApifyClient
Initialize the ApifyClient with your API token
client = ApifyClient('')
Prepare the input for the LinkedIn Profile Scraper actor
input_data = { 'urls': [ 'https://www.linkedin.com/in/debarka-sengupta-3607517', ], # List of LinkedIn profile URLs 'resultsLimit': 10, # Adjust the number of results as needed 'includePosts': True, # Include posts and likes in the scrape 'includeJobs': True, # Include job information in the scrape 'cookie': ['AQEDARIW2N0DiI-uAAABkKuxYH8AAAGQz73kf1YAqqDCezggy3flQLzc7S8xqzDC3cM0qxOjYqWoZStUqUfuL8UCizVuOgsCAQmW09P1lsOTQs1_kRA262Dy1upuSbxUy5TI15dBzCPVbYRH-TbmbrKh'], # Replace with your desired cookie value }
try: # Run the actor and wait for it to finish run = client.actor('curious_coder/linkedin-profile-scraper').call(run_input=input_data)
1# Fetch and print actor results 2results = client.dataset(run['defaultDatasetId']).list_items().items 3for item in results: 4 print(item)
except Exception as e: print(f"Error occurred: {e}")
I am using python code
from console , i am able to access data
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Actor Metrics
236 monthly users
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57 stars
78% runs succeeded
13 days response time
Created in Sep 2023
Modified 4 days ago