Facebook Posts Scraper

Facebook

Operated by Sourcelane✓ verified

A Facebook Posts Scraper that crawls Facebook Pages and profiles to extract post-level data for analysis: it captures post text and permalinks, exact publish timestamps (ISO 8601), engagement metrics including total reactions, per-reaction-type breakdown, comment totals, and video view counts; it also extracts media assets (image URLs, SD/HD video URLs, video thumbnails) and author metadata (name, short name, profile identifier). The connector operates as a scraper with paginated output (provides a cursor for iterative harvesting across multiple runs) and does not require a login to collect these structured post records for downstream content analysis, benchmarking, or results construction.

Verified Sep 28, 3:55 AM

$0.00249

per post

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

What people use it for

Competitor content and posting-cadence analysis
Audience research and engagement benchmarking
Lead generation and brand monitoring
Building content results for reporting

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":"facebook-posts-scraper","params":{"profile":"https://www.facebook.com/nasa","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`profile`	string	required	Facebook Page/profile URL (e.g. https://www.facebook.com/nasa), a handle (e.g. nasa), or a numeric Page ID.
`maxItems`	integer	optional	Maximum number of posts to scrape. Set 0 for unlimited (caps at platform timeout). Capped at 100 per call.
`pageId`	string	optional	Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page of posts.

Each result contains

Field	Type	Description
`postId`	string	Post Id
`url`	string	Url
`permalink`	string	Permalink
`text`	string	Text
`publishTime`	string	Publish Time
`reactionCount`	integer	Reaction Count
`reactions`	object	—
`commentCount`	integer	Comment Count
`viewCount`	null	View Count
`isVideo`	boolean	Is Video
`videoSdUrl`	string	Video Sd Url
`videoHdUrl`	string	Video Hd Url
`thumbnailUrl`	string	Thumbnail Url
`images`	array	—
`authorId`	string	—
`authorName`	string	—
`authorShortName`	string	—
`scrapedAt`	string	—

Use Facebook Posts Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Pull the last 30 posts from the Nike page and chart engagement by post type.”

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":"facebook-posts-scraper","params":{"profile":"https://www.facebook.com/nasa","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": "facebook-posts-scraper",
        "params": {"profile":"https://www.facebook.com/nasa","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…