Retrieve LinkedIn profile URLs and extract comprehensive profile details. This includes basic information, employment history, skills, company information, biography, location, and more.
Interested in using this scraper? Get it here: LinkedIn People Scraper. Scrape LinkedIn people profiles and extract complete information in bulk.
Data Export and Integration: Once the scraping process is complete, you can easily export the extracted data in various formats such as JSON, CSV, or Excel. You can select the fields you want, allowing for seamless integration with other tools and platforms for further analysis and utilization.
Automatic Retry and Error Handling: In case of temporary issues like network failures or timeouts, the actor has built-in automatic retry functionality. It intelligently handles errors to ensure a smooth and uninterrupted scraping experience.
Ability to Resume Last Failed Runs: In case of unexpected errors, you can simply go to the actor's last run page and click on the 'Resurrect' button to resume the last scraping progress.
Here is a sample output of this actor:
1{ 2 "about": "As a data scientist at Accenture, I develop the job profile accelerator platform, a…", 3 "avatar": "https://media.licdn.com/dms/image/D4D03AQHz_XLbNEO4Og/profile-displayphoto-shrink_200_200/0/1674741828293?e=2147483647&v=beta&t=s3L9a6umHtxmy_cnPsSI5HopZ677mDahOe0w3-Jkm0s", 4 "certifications": [ 5 { 6 "meta": "Issued Apr 2024Credential ID E36GWDBZ6D7USee credential", 7 "subtitle": "DeepLearning.AI", 8 "title": "Generative AI with Large Language Models" 9 }, 10 { 11 "meta": "Issued Apr 2024Credential ID KH23BXN9PZL8See credential", 12 "subtitle": "University of Glasgow", 13 "title": "Generative Pre-trained Transformers (GPT)" 14 }, 15 { 16 "meta": "Issued Apr 2024Credential ID YBZK86BYWDP4See credential", 17 "subtitle": "Coursera", 18 "title": "Prompt Engineering Generative AI for Marketing & Advertising" 19 }, 20 { 21 "meta": "Issued Aug 2023Credential ID QWVWEPQCTCP4See credential", 22 "subtitle": "Google", 23 "title": "Generative AI" 24 }, 25 { 26 "meta": "Issued Aug 2023Credential ID QNKRLV2CK94VSee credential", 27 "subtitle": "Google", 28 "title": "QNKRLV2CK94V" 29 }, 30 { 31 "meta": "Issued Jan 2022", 32 "subtitle": "MongoDB", 33 "title": "MongoDB Certified Developer, Associate (C100DEV)" 34 }, 35 { 36 "meta": "Issued May 2021Credential ID PTQ3DYLDKYQBSee credential", 37 "subtitle": "DeepLearning.AI", 38 "title": "Natural Language Processing with Attention Models" 39 }, 40 { 41 "meta": "Issued May 2021Credential ID 629FTVK3LHFKSee credential", 42 "subtitle": "DeepLearning.AI", 43 "title": "Natural Language Processing with Sequence Models" 44 }, 45 { 46 "meta": "Issued Feb 2020Credential ID EUMNKWR84Y56See credential", 47 "subtitle": "IBM", 48 "title": "Python for Data Science, AI & Development" 49 } 50 ], 51 "city": "Gurugram, Haryana, India", 52 "connections": 500, 53 "country_code": "IN", 54 "current_company": { 55 "company_id": "datamagnet-co", 56 "industry": "Datamagnet", 57 "link": "https://www.linkedin.com/company/datamagnet-co?trk=public_profile_topcard-current-company", 58 "name": "Datamagnet" 59 }, 60 "current_company_company_id": "datamagnet-co", 61 "current_company_name": "Datamagnet", 62 "education": [ 63 { 64 "description": null, 65 "description_html": null, 66 "end_year": "2018", 67 "start_year": "2014", 68 "title": "University of Petroleum and Energy Studies", 69 "url": "https://in.linkedin.com/school/upesdehradun/" 70 } 71 ], 72 "educations_details": "University of Petroleum and Energy Studies", 73 "followers": 4370, 74 "id": "pratik-dani", 75 "input_url": "https://www.linkedin.com/in/pratik-dani", 76 "linkedin_id": "pratik-dani", 77 "location": "Gurugram", 78 "name": "Pratik Dani", 79 "people_also_viewed": [ 80 { 81 "profile_link": "https://in.linkedin.com/in/ankit-khanna-03605421?trk=public_profile_browsemap-profile" 82 }, 83 { 84 "profile_link": "https://in.linkedin.com/in/anjali-pandey-933a96167?trk=public_profile_browsemap-profile" 85 }, 86 { 87 "profile_link": "https://in.linkedin.com/in/rashmi-nair-5258a6151?trk=public_profile_browsemap-profile" 88 }, 89 { 90 "profile_link": "https://in.linkedin.com/in/anant-gupta-808037230?trk=public_profile_browsemap-profile" 91 }, 92 { 93 "profile_link": "https://in.linkedin.com/in/bhuvek12?trk=public_profile_browsemap-profile" 94 }, 95 { 96 "profile_link": "https://in.linkedin.com/in/pratimarathore17?trk=public_profile_browsemap-profile" 97 }, 98 { 99 "profile_link": "https://in.linkedin.com/in/shubhojitsarkar?trk=public_profile_browsemap-profile" 100 }, 101 { 102 "profile_link": "https://in.linkedin.com/in/lakshaybhardwaj?trk=public_profile_browsemap-profile" 103 }, 104 { 105 "profile_link": "https://in.linkedin.com/in/viz-graffito?trk=public_profile_browsemap-profile" 106 }, 107 { 108 "profile_link": "https://in.linkedin.com/in/rohit-roy-0376a7145?trk=public_profile_browsemap-profile" 109 } 110 ], 111 "projects": [ 112 { 113 "description": "https://github.com/devildani/LinkedIn-Scraper", 114 "start_date": "Jun 2024", 115 "title": "Open Source LinkedIn Scraper" 116 } 117 ], 118 "url": "https://www.linkedin.com/in/pratik-dani" 119}
Here is the JSON fields documentation without including the sample values:
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!