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This tutorial walks you through sending a synchronous request to each Bright Data LinkedIn Scraper API endpoint. By the end, you’ll have working examples for profiles, companies, jobs, and posts.

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Prerequisites

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Request structure

Every synchronous request follows the same pattern: 
POST https://api.brightdata.com/datasets/v3/scrape?dataset_id={DATASET_ID}&format=json
Authorization: Bearer YOUR_API_TOKEN
Content-Type: application/json

[{"url": "https://www.linkedin.com/..."}]
The only thing that changes between endpoints is the dataset_id and the input URL format.
Synchronous requests support up to 20 URLs and have a 1-minute timeout. If the request takes longer, the API automatically returns a snapshot_id instead. See async requests.

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Profiles

Dataset ID: gd_l1viktl72bvl7bjuj0 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1viktl72bvl7bjuj0&format=json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/in/satyanadella"}]'
You should see a 200 response. This takes 10-30 seconds. 
[
  {
    "name": "Satya Nadella",
    "city": "Redmond",
    "country_code": "US",
    "position": "Chairman and CEO at Microsoft",
    "current_company": {
      "name": "Microsoft",
      "company_id": "microsoft",
      "link": "https://www.linkedin.com/company/microsoft"
    },
    "about": "Chairman and CEO at Microsoft...",
    "followers": 10842560,
    "connections": 500
  }
]
Full Profiles response schema

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Companies

Dataset ID: gd_l1vikfnt1wgvvqz95w 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1vikfnt1wgvvqz95w&format=json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/company/microsoft"}]'

[
  {
    "name": "Microsoft",
    "followers": 23000000,
    "employees_in_linkedin": 290000,
    "about": "Every company has a mission...",
    "industries": ["Software Development"],
    "company_size": "10,001+ employees",
    "headquarters": "Redmond, Washington",
    "website": "https://www.microsoft.com",
    "founded": "1975"
  }
]
Full Companies response schema

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Jobs

Dataset ID: gd_lpfll7v5hcqtkxl6l 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_lpfll7v5hcqtkxl6l&format=json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/jobs/view/3986111804"}]'

[
  {
    "job_title": "Software Engineer",
    "company_name": "Epic",
    "job_location": "Verona, WI",
    "job_seniority_level": "Entry level",
    "job_employment_type": "Full-time",
    "job_industries": ["Software Development"],
    "job_summary": "Work on healthcare software that impacts millions...",
    "apply_link": "https://www.linkedin.com/jobs/view/3986111804/apply",
    "is_easy_apply": true
  }
]
Full Jobs response schema

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Posts

Dataset ID: gd_lyy3tktm25m4avu764 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_lyy3tktm25m4avu764&format=json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/posts/satyanadella_activity-7180537307521769472"}]'

[
  {
    "post_text": "Excited to share our latest AI innovations...",
    "num_likes": 45230,
    "num_comments": 1250,
    "date_posted": "2024-04-03T14:30:00.000Z",
    "hashtags": ["AI", "Innovation"],
    "user_followers": 10842560,
    "post_type": "original"
  }
]
Full Posts response schema

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Quick reference: dataset IDs

EndpointDataset IDURL pattern
Profilesgd_l1viktl72bvl7bjuj0linkedin.com/in/{username}
Companiesgd_l1vikfnt1wgvvqz95wlinkedin.com/company/{slug}
Jobsgd_lpfll7v5hcqtkxl6llinkedin.com/jobs/view/{id}
Postsgd_lyy3tktm25m4avu764linkedin.com/posts/{slug}

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Output formats

Control the response format with the format query parameter:
ValueDescription
jsonJSON array (default)
ndjsonNewline-delimited JSON, one record per line
csvComma-separated values

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Next steps

Async batch requests

Scrape hundreds of URLs in a single batch job.

API reference

Full parameter and response field reference.