LinkedIn Posts Scraper

Operated by Sourcelane✓ verified

Scrapes public LinkedIn posts without authentication or cookies, supporting keyword-based search across LinkedIn and full post feeds from company, school, and showcase pages. Extracts post text, publish date, canonical post URL and identifier, engagement metrics (like and comment counts), up to five top comments per post, author metadata (name, profile link, follower count), and attached image/media URLs. Includes date-range filtering for searches, a pagination cursor for collecting large volumes across chained runs, and optional per-post detail enrichment that augments company-feed posts with engagement, author, and comment details. Outputs structured post records optimized for social listening, content analysis, competitor monitoring, lead discovery, and feeding conversation data into RAG/LLM pipelines.

Verified Sep 28, 3:55 AM

$0.005

per post

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Social listening to track brand-, product-, or category-related conversations on LinkedIn
Content research to discover high-performing posts and topics before creating content
Competitor monitoring by following company page posts and benchmarking engagement
Lead generation by finding people posting about problems relevant to a product or service
Feeding fresh B2B conversation data into AI / LLM pipelines and retrieval-augmented systems

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"linkedin-posts-search-scraper","params":{"mode":"search","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`mode`	string	required	Search public posts by keyword, or fetch the post feed of a specific company page.
`query`	string	optional	Keyword or phrase to search for in public LinkedIn posts (Keyword search mode).
`companyUrl`	string	optional	LinkedIn company page URL (e.g. https://www.linkedin.com/company/microsoft) or bare company handle (e.g. 'microsoft'). Used in Company page posts mode.
`datePosted`	string	optional	Only return posts published within this window (Keyword search mode only).
`maxItems`	integer	optional	Maximum number of posts to return in this run. Set 0 for unlimited (until the feed is exhausted or the run times out). Capped at 100 per call.
`postDetails`	boolean	optional	When enabled, each post is enriched with like/comment counts, author info, and top comments via an extra lookup per post. Most useful in Company page posts mode (keyword search results already include engagement data).
`pageId`	string	optional	Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page of results.

Each result contains

Field	Type	Description
`url`	string	Url
`postId`	string	Post Id
`text`	string	Text
`datePublished`	string	Date Published
`likeCount`	null	Like Count
`commentCount`	null	Comment Count
`authorName`	null	Author Name
`authorUrl`	null	Author Url
`authorFollowers`	null	Author Followers
`imageUrl`	null	Image Url
`images`	array	Images
`topComments`	array	—
`source`	string	Source

Use LinkedIn Posts Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What have Stripe and Adyen posted on LinkedIn this month, and how did it land?”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"linkedin-posts-search-scraper","params":{"mode":"search","maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "linkedin-posts-search-scraper",
        "params": {"mode":"search","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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