LinkedIn Scraper API endpoints

This guide shows you how to send a synchronous request to each Bright Data LinkedIn Scraper API endpoint. It covers profiles, companies, jobs, and posts.

Prerequisites

A Bright Data account with an active API key
Completed the Quickstart

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_KEY
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.

The /scrape endpoint is built for real-time, single-URL requests. Bright Data recommends 20 URLs or fewer per request, a best practice rather than a hard limit, and the endpoint waits up to 1 minute. If collection takes longer, the response is HTTP 202 with a snapshot_id instead of data, and collection continues asynchronously. Fetch the result with async requests or have it pushed to you with webhook delivery.

How to scrape LinkedIn 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_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/in/satyanadella"}]'

You should see a 200 response. Processing time varies with target-site conditions and scraper workload.

Example response

[
  {
    "name": "Satya Nadella",
    "city": "Redmond, Washington, United States",
    "country_code": "US",
    "current_company": {
      "name": "Microsoft",
      "company_id": "microsoft",
      "title": "Chairman and CEO",
      "location": "Greater Seattle Area"
    },
    "about": "As chairman and CEO of Microsoft, I define my mission and that of my company as empowering every person and every organization on the planet to achieve more.",
    "followers": 12151763,
    "connections": 500,
    "id": "satyanadella",
    "position": "Chairman and CEO at Microsoft",
    "url": "https://ar.linkedin.com/in/satyanadella"
  }
]

Full Profiles response schema

Since November 13, 2025, LinkedIn has restricted public access to the Position, Experience and Education fields. Fill rates for those three dropped from 50-64 percent to roughly 2 percent, and they now return sticky data from cache rather than a fresh scrape. All other fields refresh normally, except current_company.industry, which has been unsupported since Aug. 7, 2025. See LinkedIn data policy change for the full field status table and alternatives.

Which output fields does the LinkedIn profiles scraper return?

The LinkedIn profiles scraper (gd_l1viktl72bvl7bjuj0, collect_by_url) returns 42 output fields.

Output fields (42)

Field	Type	Description
`id`	text	A unique identifier for the person’s LinkedIn profile
`name`	text	Profile name
`city`	text	Geographical location of the user
`country_code`	text	Geographical location of the user
`position`	text	The current job title or position of the profile Note: Restricted by LinkedIn since Nov. 13, 2025. Usually empty.
`about`	text	A concise profile summary. In some cases, only a truncated version with ”…” is displayed on the website, and this is the version we capture
`posts`	array	Contains information related to the user’s last LinkedIn posts. It typically includes the post title, created date, URL link to the post, etc.
`current_company`	object	Provides information about the user’s current professional position. It typically includes the company name, the user’s job title, the company ID, and the industry or sector to which the company belongs
`experience`	array	Contains information about user’s professional history. It typically includes the user’s job title, length of time the user held the position, the geographic location of the company, the start and end date, the company name, URL link to the company profile, etc. Note: Restricted by LinkedIn since Nov. 13, 2025. Usually empty.
`url`	url	URL that link directly to the LinkedIn profile
`people_also_viewed`	array	Provides a list of LinkedIn profiles that users who have viewed the user’s profile, have viewed these as well
`educations_details`	text	Provides information about the user’s educational background
`education`	array	Provides information about the user’s educational background. It typically includes the degree, the start and end year, the filed, etc. Note: Restricted by LinkedIn since Nov. 13, 2025. Usually empty.
`recommendations_count`	number	A numeric count of the total number of recommendations that the user has received
`avatar`	url	URL that link to the profile picture of the LinkedIn user
`courses`	array	Contains information about courses or educational programs that the user has undertaken
`languages`	array	Contains information about the user’s proficiency in different languages
`certifications`	array	Licenses & Certifications
`recommendations`	array	Recommendations that the user has received from their connections or colleagues on LinkedIn
`volunteer_experience`	array	Contains information related to the user’s volunteer work
`followers`	number	How many users/ companies following the profile
`connections`	number	How many connections the profile has
`current_company_company_id`	text	The id of the latest/current company of the profile
`current_company_name`	text	The name of the latest/current company of the profile
`publications`	array	Published works or presentations
`patents`	array	Patents filed or granted
`projects`	array	Professional or academic projects
`organizations`	array	Memberships in professional organizations
`location`	text	Geographical location of the user
`input_url`	url	The URL that was entered when starting the scraping process
`linkedin_id`	text	LinkedIn profile identifier
`activity`	array	Any activity the user has regarding posts
`linkedin_num_id`	text	Numeric LinkedIn profile ID
`banner_image`	url	Banner image
`honors_and_awards`	array	Awards and recognitions received
`similar_profiles`	array	Profiles similar to the current one
`default_avatar`	boolean	Is the avatar picture the default avatar empty picture
`memorialized_account`	boolean	Boolean indicating if the account is memorialized
`bio_links`	array	External links added to the bio
`first_name`	text	First name of the user
`last_name`	text	Last name of the user
`influencer`	boolean	Indicator if the profile marked as influencer

Machine-readable version with the input schema: /scrapers/gd_l1viktl72bvl7bjuj0.json

How to scrape LinkedIn 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_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/company/microsoft"}]'

Example response

[
  {
    "name": "Microsoft",
    "followers": 29034884,
    "employees_in_linkedin": 232354,
    "about": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for...",
    "industries": "Software Development",
    "company_size": "10,001+ employees",
    "headquarters": "Redmond, Washington",
    "website": "https://news.microsoft.com/",
    "id": "microsoft",
    "country_code": "US,AU,CA,FR,DE,JP,GB,DK,BE,FI,IT,KR,NL,NO,ES,SE,CH,BR,CN,IN,MX,RU,ZA,TR,AT,HK,IE,IL,NZ,PL,PT,SA,SG,SK,TW,AE,AR,CL,CO,EG,ID,MY,PH,RO,TH"
  }
]

Full Companies response schema

Which output fields does the LinkedIn companies scraper return?

The LinkedIn companies scraper (gd_l1vikfnt1wgvvqz95w, collect_by_url) returns 36 output fields.

Output fields (36)

Field	Type	Description
`id`	text	Unique to each company
`name`	text	The name of the company
`country_code`	text	The country where the company is located or headquartered
`locations`	array	General information about the company’s locations
`followers`	number	The number of followers the company has on LinkedIn
`employees_in_linkedin`	number	The number of employees listed on LinkedIn
`about`	text	A description or summary of the company
`specialties`	text	List of the company’s specializations
`company_size`	text	The number of employees in the company, as reported by the company
`organization_type`	text	The type of organization
`industries`	text	The industries to which the company belongs
`website`	text	The official website of the company
`crunchbase_url`	text	URL linking to the company’s profile on Crunchbase
`founded`	number	The year in which the company was founded
`company_id`	text	A unique identifier for the company
`employees`	array	Additional information about the company’s employees
`headquarters`	text	The location of the company’s headquarters
`image`	url	URL that links to the banner photo associated with the company’s LinkedIn page
`logo`	text	URL that links to the profile picture of the company’s LinkedIn page
`similar`	array	Information about similar companies
`url`	url	The URL or link to the company’s LinkedIn page
`updates`	array	Information about the company’s most recent posts on LinkedIn
`slogan`	text	The company’s slogan
`affiliated`	array	Information about affiliated companies
`funding`	object	Information related to the company’s financial backing and investments
`investors`	array	Information about the company’s investors
`formatted_locations`	array	Geographical location of the company
`stock_info`	object	Information about the company’s stock-related data. Include details such as the stock exchange where the company is listed (e.g., NYSE, NASDAQ)
`get_directions_url`	array	The url of the directions provided by the company on linkedin
`description`	text	raw description in html
`additional_information`	text	Open-roles summary text extracted from LinkedIn
`country_codes_array`	array	array of all relevant countries the company locate in
`alumni`	number	Number of alumni on LinkedIn
`alumni_information`	array	Aggregated alumni insights
`website_simplified`	text	Company website root domain
`unformatted_about`	text	Raw About text captured from the page

Machine-readable version with the input schema: /scrapers/gd_l1vikfnt1wgvvqz95w.json

How to scrape LinkedIn 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_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/jobs/view/3986111804"}]'

Example response

[
  {
    "job_title": "Software Engineer",
    "company_name": "Epic",
    "job_location": "San Jose, CA",
    "job_seniority_level": "Entry level",
    "job_employment_type": "Full-time",
    "job_industries": "Software Development",
    "job_summary": "Please note that this position is based on our campus in Madison, WI, and requires relocation to the area. We recruit nationally and provide financial reloca...",
    "apply_link": null,
    "is_easy_apply": false,
    "url": "https://www.linkedin.com/jobs/view/3986111804?_l=en"
  }
]

Full Jobs response schema

Which output fields does the LinkedIn jobs scraper return?

The LinkedIn jobs scraper (gd_lpfll7v5hcqtkxl6l, collect_by_url) returns 26 output fields.

Output fields (26)

Field	Type	Description
`url`	url	The job posting’s web link on LinkedIn
`job_posting_id`	text	Unique identifier for each job listing
`job_title`	text	Title of the advertised job position
`company_name`	text	Name of the hiring company
`company_id`	text	Unique identifier for each company
`job_location`	text	Geographic location of the job
`job_summary`	text	Brief overview of job responsibilities
`job_seniority_level`	text	Seniority level of the position
`job_employment_type`	text	Type of employment offered
`job_industries`	text	Industries associated with the job
`job_base_pay_range`	text	Salary range for the position
`company_url`	url	LinkedIn profile link of the hiring company
`job_posted_time`	text	Timestamp for when the job was posted
`job_num_applicants`	number	Number of applicants for the job
`discovery_input`	object	Discovery input values
`apply_link`	url	Link or information for job application
`country_code`	country	2 letter country code
`title_id`	text	standardized LinkedIn job title ID
`company_logo`	image	the logo image of the company posted the job
`job_posted_date`	date	parsed date of the job posting time
`job_poster`	object	Profile of the person who posted the job
`application_availability`	boolean	Whether a user can still apply for this job
`job_description_formatted`	text	The job description as it appears in LinkedIn
`base_salary`	object	Structured base pay range with currency and pay period
`salary_standards`	text	Employer-provided pay standards or notes
`is_easy_apply`	boolean	Does it have easy apply

Machine-readable version with the input schema: /scrapers/gd_lpfll7v5hcqtkxl6l.json

How to scrape LinkedIn 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_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/posts/satyanadella_activity-7180537307521769472"}]'

Example response (illustrative, not captured)

[
  {
    "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

Which output fields does the LinkedIn posts scraper return?

The LinkedIn posts scraper (gd_lyy3tktm25m4avu764, collect_by_url) returns 37 output fields.

Output fields (37)

Field	Type	Description
`url`	url	The web link to the individual LinkedIn post
`id`	text	A unique identifier for each LinkedIn post
`user_id`	text	The unique identifier for the user who created the post
`use_url`	url	The web link to the profile of the user who created the post
`title`	text	The title or main subject of the LinkedIn post, if applicable
`headline`	text	A brief headline summarizing the post’s content
`post_text`	text	The main text content of the LinkedIn post
`date_posted`	date	The date and time when the post was published on LinkedIn
`hashtags`	array	Keywords or phrases prefixed with a hash (#) used in the post to tag content
`embedded_links`	array	RLs included within the post that link to external content
`images`	array	Any images attached or embedded in the post
`videos`	array	Any videos attached or embedded in the post
`num_likes`	number	The total number of likes the post has received
`num_comments`	number	The total number of comments the post has received
`more_articles_by_user`	array	Links to other posts or articles written by the same user
`more_relevant_posts`	array	Links to other posts that are relevant or related to the content of this post
`top_visible_comments`	array	Top comments on post, only some comments if any are visible without a login
`user_followers`	number	Number of followers of the user
`user_posts`	number	User number of posts
`user_articles`	number	Number of user articles
`post_type`	text	article/post
`account_type`	text	Author type of the posting account: ‘Person’ or ‘Company
`post_text_html`	text	The post text keeping the line breaks
`repost`	object	Details of the original post that was reshared
`tagged_companies`	array	Companies tagged or mentioned in the post
`tagged_people`	array	People tagged or mentioned in the post
`user_title`	text	The title of the post’s author
`author_profile_pic`	url	The post’s author profile picture
`num_connections`	number	The number of connections of the post’s author
`video_duration`	number	Duration of the post’s video
`external_link_data`	array	Preview cards for external links included in the post
`video_thumbnail`	url	Thumbnail image URL for the attached video
`document_cover_image`	url	Cover image URL for an attached document
`document_page_count`	number	Total number of pages in the attached document
`user_profile_pic`	url	The user’s profile picture
`user_name`	text	The name if the user posting
`original_post_text`	text	The post’s text including line breaks like how it appears on LinkedIn

Machine-readable version with the input schema: /scrapers/gd_lyy3tktm25m4avu764.json

Quick reference: dataset IDs

Endpoint	Dataset ID	URL pattern
Profiles	`gd_l1viktl72bvl7bjuj0`	`linkedin.com/in/{username}`
Companies	`gd_l1vikfnt1wgvvqz95w`	`linkedin.com/company/{slug}`
Jobs	`gd_lpfll7v5hcqtkxl6l`	`linkedin.com/jobs/view/{id}`
Posts	`gd_lyy3tktm25m4avu764`	`linkedin.com/posts/{slug}`

Output formats

Control the response format with the format query parameter:

Value	Description
`json`	JSON array
`ndjson`	Newline-delimited JSON, one record per line (default)
`csv`	Comma-separated values

These are the format values for /scrape. The full list, NDJSON (default), JSON, JSON lines, CSV and Parquet, and where each applies is in output formats.

Async batch requests

Scrape hundreds of URLs in a single batch job.

API reference

Full parameter and response field reference.

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LinkedIn Scraper API endpoints

Prerequisites

Request structure

How to scrape LinkedIn profiles

Which output fields does the LinkedIn profiles scraper return?

How to scrape LinkedIn companies

Which output fields does the LinkedIn companies scraper return?

How to scrape LinkedIn jobs

Which output fields does the LinkedIn jobs scraper return?

How to scrape LinkedIn posts

Which output fields does the LinkedIn posts scraper return?

Quick reference: dataset IDs

Output formats

Async batch requests

API reference

​Prerequisites

​Request structure

​How to scrape LinkedIn profiles

​Which output fields does the LinkedIn profiles scraper return?

​How to scrape LinkedIn companies

​Which output fields does the LinkedIn companies scraper return?

​How to scrape LinkedIn jobs

​Which output fields does the LinkedIn jobs scraper return?

​How to scrape LinkedIn posts

​Which output fields does the LinkedIn posts scraper return?

​Quick reference: dataset IDs

​Output formats

​Related

Async batch requests

API reference

Prerequisites

Request structure

How to scrape LinkedIn profiles

Which output fields does the LinkedIn profiles scraper return?

How to scrape LinkedIn companies

Which output fields does the LinkedIn companies scraper return?

How to scrape LinkedIn jobs

Which output fields does the LinkedIn jobs scraper return?

How to scrape LinkedIn posts

Which output fields does the LinkedIn posts scraper return?

Quick reference: dataset IDs

Output formats

Related