Facebook Pages Scraper

Facebook

Operated by Sourcelane✓ verified

A Facebook Pages Scraper that performs automated, bulk extraction of structured metadata from Facebook Pages without requiring login. It collects per-Page audience metrics (follower counts, page likes, "talking about" counts), business metadata (category, page creation date, business activity indicator), contact information (phone numbers, websites, linked URLs) useful for outreach, advertising signals (whether the Page is running ads), branding asset links (profile and cover image URLs), and numeric identifiers for Pages and profiles. The connector outputs one structured record per Page for tabular or spreadsheet-style analysis, enabling large-scale collection of Facebook Page attributes for downstream research and enrichment.

Verified Sep 28, 3:55 AM

$0.0075

per page

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

What people use it for

Lead generation: build outreach lists with contact details and audience metrics
Competitor analysis: compare follower counts, categories, and ad activity across Pages
Influencer and partner vetting: verify reach and branding assets before engagement
CRM enrichment: append Facebook Page metrics and contact information to existing brand lists

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-pages-scraper","params":{"pages":["https://www.facebook.com/nike","https://www.facebook.com/nasa"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`pages`	array	required	One or more Facebook Page/profile URLs (e.g. https://www.facebook.com/nike), handles (e.g. nike), or numeric Page IDs. Each returns one record.

Each result contains

Field	Type	Description
`input`	string	Input
`pageId`	string	Page Id
`profileId`	string	Profile Id
`name`	string	Name
`url`	string	Url
`category`	string	Category
`creationDate`	string	Creation Date
`followerCount`	integer	Follower Count
`likeCount`	null	Like Count
`talkingAboutCount`	integer	Talking About Count
`ratingCount`	null	Rating Count
`phone`	null	Phone
`website`	string	—
`links`	array	—
`isRunningAds`	boolean	—
`adStatus`	string	—
`isBusinessPageActive`	boolean	—
`profilePicUrl`	string	—
`coverPhotoUrl`	string	—
`scrapedAt`	string	—

Use Facebook Pages 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-pages-scraper","params":{"pages":["https://www.facebook.com/nike","https://www.facebook.com/nasa"]},"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-pages-scraper",
        "params": {"pages":["https://www.facebook.com/nike","https://www.facebook.com/nasa"]},
        "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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