LinkedIn Scraper API 端点

本指南介绍如何向每个 Bright Data LinkedIn Scraper API 端点发送同步请求。完成后，您将获得用于个人资料、公司、职位和帖子的工作示例。

前置条件

一个 Bright Data 账户，具有有效的 API 密钥
已完成快速入门

请求结构

每个同步请求都遵循相同的模式：

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/..."}]

端点之间唯一改变的是 dataset_id 和输入 URL 格式。

/scrape 端点专为实时的单 URL 请求设计。Bright Data 建议每个请求不超过 20 个 URL（这是最佳实践，而非硬性限制），端点最多等待 1 分钟。如果采集耗时更长，响应为 HTTP 202，返回 snapshot_id 而不是数据，采集将继续以异步方式进行。请通过异步请求获取结果，或使用 Webhook 投递接收结果。

个人资料

数据集 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"}]'

您应该看到 200 响应。处理时间取决于目标网站状况和爬虫负载。

示例响应

[
  {
    "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"
  }
]

完整个人资料响应模式

自 2025 年 11 月 13 日起，LinkedIn 限制了对 Position（职位）、Experience（工作经历） 和 Education（教育背景） 三个字段的公开访问。这三个字段的填充率已从 50-64% 降至约 2%，目前返回的是缓存中的固定数据，而非实时抓取结果。除 current_company.industry 自 2025 年 8 月 7 日起不再支持外，其他所有字段均正常刷新。完整的字段状态表和替代方案，请参阅 LinkedIn 数据政策变更。

LinkedIn 个人资料抓取器返回哪些输出字段？

LinkedIn 个人资料抓取器（gd_l1viktl72bvl7bjuj0，collect_by_url）返回 42 个输出字段。字段说明保留 API 返回的英文原文。

输出字段（42）

字段	类型	说明
`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 注意：自 2025 年 11 月 13 日起受 LinkedIn 限制，通常为空。
`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. 注意：自 2025 年 11 月 13 日起受 LinkedIn 限制，通常为空。
`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. 注意：自 2025 年 11 月 13 日起受 LinkedIn 限制，通常为空。
`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

包含输入 schema 的机器可读版本：/scrapers/gd_l1viktl72bvl7bjuj0.json

公司

数据集 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"}]'

示例响应

[
  {
    "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"
  }
]

完整公司响应模式

LinkedIn 公司抓取器返回哪些输出字段？

LinkedIn 公司抓取器（gd_l1vikfnt1wgvvqz95w，collect_by_url）返回 36 个输出字段。字段说明保留 API 返回的英文原文。

输出字段（36）

字段	类型	说明
`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

包含输入 schema 的机器可读版本：/scrapers/gd_l1vikfnt1wgvvqz95w.json

职位

数据集 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"}]'

示例响应

[
  {
    "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"
  }
]

完整职位响应模式

LinkedIn 职位抓取器返回哪些输出字段？

LinkedIn 职位抓取器（gd_lpfll7v5hcqtkxl6l，collect_by_url）返回 26 个输出字段。字段说明保留 API 返回的英文原文。

输出字段（26）

字段	类型	说明
`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

包含输入 schema 的机器可读版本：/scrapers/gd_lpfll7v5hcqtkxl6l.json

帖子

数据集 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"}]'

示例响应（示意，非实际抓取）

[
  {
    "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"
  }
]

完整帖子响应模式

LinkedIn 帖子抓取器返回哪些输出字段？

LinkedIn 帖子抓取器（gd_lyy3tktm25m4avu764，collect_by_url）返回 37 个输出字段。字段说明保留 API 返回的英文原文。

输出字段（37）

字段	类型	说明
`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

包含输入 schema 的机器可读版本：/scrapers/gd_lyy3tktm25m4avu764.json

快速参考：数据集 ID

端点	数据集 ID	URL 模式
个人资料	`gd_l1viktl72bvl7bjuj0`	`linkedin.com/in/{username}`
公司	`gd_l1vikfnt1wgvvqz95w`	`linkedin.com/company/{slug}`
职位	`gd_lpfll7v5hcqtkxl6l`	`linkedin.com/jobs/view/{id}`
帖子	`gd_lyy3tktm25m4avu764`	`linkedin.com/posts/{slug}`

输出格式

使用 format 查询参数控制响应格式：

值	描述
`json`	JSON 数组
`ndjson`	换行分隔的 JSON，每行一条记录（默认）
`csv`	逗号分隔值

以上是 /scrape 的 format 值。完整列表（NDJSON（默认）、JSON、JSON lines、CSV 和 Parquet）及各格式适用范围见输出格式。

异步批处理请求

在单个批处理作业中抓取数百个 URL。

API 参考

完整的参数和响应字段参考。

开始使用

数据提取

网页搜索

AI 训练数据

代理网络

前置条件

请求结构

个人资料

LinkedIn 个人资料抓取器返回哪些输出字段？

公司

LinkedIn 公司抓取器返回哪些输出字段？

职位

LinkedIn 职位抓取器返回哪些输出字段？

帖子

LinkedIn 帖子抓取器返回哪些输出字段？

快速参考：数据集 ID

输出格式

相关内容

异步批处理请求

API 参考

​前置条件

​请求结构

​个人资料

​LinkedIn 个人资料抓取器返回哪些输出字段？

​公司

​LinkedIn 公司抓取器返回哪些输出字段？

​职位

​LinkedIn 职位抓取器返回哪些输出字段？

​帖子

​LinkedIn 帖子抓取器返回哪些输出字段？

​快速参考：数据集 ID

​输出格式

​相关内容

异步批处理请求

API 参考

前置条件

请求结构

个人资料

LinkedIn 个人资料抓取器返回哪些输出字段？

公司

LinkedIn 公司抓取器返回哪些输出字段？

职位

LinkedIn 职位抓取器返回哪些输出字段？

帖子

LinkedIn 帖子抓取器返回哪些输出字段？

快速参考：数据集 ID

输出格式

相关内容