Li Data Scraper MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Li Data Scraper MCP Server get company details for Microsoft"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Li Data Scraper MCP Server
用于访问 Li Data Scraper API 的 MCP 服务器。
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🔍 搜索或找到本服务器(
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Related MCP server: LinkedIn Data API MCP Server
简介
这是一个 MCP 服务器,用于访问 Li Data Scraper API。
PyPI 包名:
bach-li_data_scraper版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-li_data_scraper从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-li_data_scraper bach_li_data_scraper
# 或指定版本
uvx --from bach-li_data_scraper@latest bach_li_data_scraper方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-li_data_scraper
# 运行(命令名使用下划线)
bach_li_data_scraper配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-li_data_scraper": {
"command": "uvx",
"args": ["--from", "bach-li_data_scraper", "bach_li_data_scraper"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-li_data_scraper": {
"command": "uvx",
"args": ["--from", "bach-li_data_scraper", "bach_li_data_scraper"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
get_public_profile_data_by_url
Enrich public profile data
端点: GET /get-profile-data-by-url
get_company_details
The endpoint returns enrich company details
端点: GET /get-company-details
get_company_by_domain
Enrich company data by domain. 1 credit per successful request.
端点: GET /get-company-by-domain
search_people
You may see less than 10 results per page. This is because not all profiles as public, sometimes hiding profiles. The endpoint automatically filters these profiles from the result
端点: GET /search-people
about_the_profile
Get profile verification details, profile’s joined, contact information updated, and profile photo updated date
端点: GET /about-this-profile
get_profile_data_and_connection_u0026_follower_count
Get Profile Data and Connection \u0026 Follower Count
端点: GET /data-connection-count
get_post_comment_reaction
Get post comment Reaction
端点: POST /posts/comments/reactions
search_post_by_keyword
Search Post by Keyword
端点: POST /search-posts
get_post_reactions
Get profiles that reacted to the post
端点: POST /get-post-reactions
get_profile_post_and_comments
Get profile post and comments of the post
端点: GET /get-profile-post-and-comments
get_profiles_comments
Get last 50 comments of a profile. 1 credit per call
端点: GET /get-profile-comments
get_company_jobs
Get company jobs
端点: POST /company-jobs
ping
Ping
端点: GET /health
get_profile_recent_activity_time
Get the time of the profile's last activity
端点: GET /get-profile-recent-activity-time
get_profile_reactions
Find out what posts a profile reacted to
端点: GET /get-profile-likes
get_profile_post_comment
Get 50 comments of a profile post (activity)
端点: GET /get-profile-posts-comments
get_profiles_posts
Get last 50 posts of a profile. 1 credit per call
端点: GET /get-profile-posts
search_post_by_hashtag
Search Post by Hashtag
端点: POST /search-posts-by-hashtag
get_company_post_comments
Get comments of a company post
端点: GET /get-company-post-comments
get_companys_post
Get last 50 posts of a company. 1 credit per call
端点: GET /get-company-posts
技术栈
传输协议: stdio
HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Available Tools
20 toolsabout_the_profileB
Get profile verification details, profile’s joined, contact information updated, and profile photo updated date
Inputs: no named parameters.
get_company_by_domainB
Enrich company data by domain. 1 credit per successful request.
Inputs: no named parameters.
get_company_detailsC
The endpoint returns enrich company details
Inputs: no named parameters.
get_company_jobsC
Get company jobs
Inputs: no named parameters.
get_company_post_commentsB
Get comments of a company post
Inputs: no named parameters.
get_companys_postB
Get last 50 posts of a company. 1 credit per call
Inputs: no named parameters.
get_post_comment_reactionC
Get post comment Reaction
Inputs: no named parameters.
get_post_reactionsB
Get profiles that reacted to the post
Inputs: no named parameters.
get_profile_data_and_connection_u0026_follower_countC
Get Profile Data and Connection \u0026 Follower Count
Inputs: no named parameters.
get_profile_post_and_commentsC
Get profile post and comments of the post
Inputs: no named parameters.
get_profile_post_commentB
Get 50 comments of a profile post (activity)
Inputs: no named parameters.
get_profile_reactionsB
Find out what posts a profile reacted to
Inputs: no named parameters.
get_profile_recent_activity_timeB
Get the time of the profile's last activity
Inputs: no named parameters.
get_profiles_commentsB
Get last 50 comments of a profile. 1 credit per call
Inputs: no named parameters.
get_profiles_postsB
Get last 50 posts of a profile. 1 credit per call
Inputs: no named parameters.
get_public_profile_data_by_urlC
Enrich public profile data
Inputs: no named parameters.
pingD
Ping
Inputs: no named parameters.
search_peopleC
You may see less than 10 results per page. This is because not all profiles as public, sometimes hiding profiles. The endpoint automatically filters these profiles from the result
Inputs: no named parameters.
search_post_by_hashtagD
Search Post by Hashtag
Inputs: no named parameters.
search_post_by_keywordC
Search Post by Keyword
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 20 tools
There is significant overlap between tools targeting similar resources, such as get_profile_post_and_comments, get_profile_post_comment, and get_profiles_comments, which could confuse an agent about which to use for profile comments. However, descriptions help differentiate some tools, like distinguishing company vs. profile operations, preventing complete ambiguity.
Naming is inconsistent with mixed patterns: most tools use get_* or search_* prefixes, but about_the_profile deviates, and some names are overly verbose or include escaped characters (e.g., get_profile_data_and_connection_u0026_follower_count). This lack of a uniform convention reduces predictability and readability.
With 20 tools, the count is borderline high for a data scraper server, feeling slightly heavy but not extreme. It covers multiple domains (profiles, companies, posts, searches), which justifies some volume, but could benefit from consolidation to avoid overlap and improve coherence.
The tool set provides broad coverage for LinkedIn data scraping, including profile, company, post, comment, reaction, and search operations, with minor gaps such as missing update or delete tools (expected for read-only scraping) and no direct tool for managing credits or errors. Overall, it supports core workflows without major dead ends.
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