Sourcelane

Facebook Pages Scraper

Facebook

Operated by Sourcelane✓ verified

Scrape public Facebook Page details in bulk followers, likes, category, contact info, website, ratings, and whether the Page is running ads.

Read full description

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

You give it

  • Facebook Pagesrequired

    One or more Facebook Page/profile URLs (e.g.

You get back

People & accounts
Profile IDNamePhone
Numbers & stats
Follower countLike countTalking about countRating count
Links & media
URLLinksProfile pic URLCover photo URL
Other details
Page IDCategoryCreation dateWebsiteRunning adsAd statusBusiness page active

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

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

FieldTypeRequiredDescription
pagesarrayrequiredOne 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

FieldTypeDescription
inputstringInput
pageIdstringPage Id
profileIdstringProfile Id
namestringName
urlstringUrl
categorystringCategory
creationDatestringCreation Date
followerCountintegerFollower Count
likeCountnullLike Count
talkingAboutCountintegerTalking About Count
ratingCountnullRating Count
phonenullPhone
websitestring—
linksarray—
isRunningAdsboolean—
adStatusstring—
isBusinessPageActiveboolean—
profilePicUrlstring—
coverPhotoUrlstring—
scrapedAtstring—

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. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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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