Facebook Page Posts Scraper - Likes, Comments, Date avatar

Facebook Page Posts Scraper - Likes, Comments, Date

Pricing

from $5.50 / 1,000 new post alerts

Go to Apify Store
Facebook Page Posts Scraper - Likes, Comments, Date

Facebook Page Posts Scraper - Likes, Comments, Date

Scrape posts from any public Facebook page: post text, URL, publish date, reactions, comments and shares. Paste page URLs, export to JSON, CSV or Excel, or call it as an API. No login or cookies needed. Built for social listening, competitor research and reporting.

Pricing

from $5.50 / 1,000 new post alerts

Rating

0.0

(0)

Developer

omar khandji

omar khandji

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

1

Monthly active users

2 hours ago

Last modified

Share

Facebook Page Posts Monitor — New Post Alerts (Vigia)

Monitor a public Facebook page and get only NEW posts since last check, with a posting-velocity spike signal. Charged only on new posts, never per run. Ideal for competitor-tracking, PR and social-listening agents.

Free tier — 10 results free on every run

The first 10 results of every run are free, on every run you ever make — not a one-off trial. Run it on your own subjects and see the real output before you are billed for a single result.

One guard: the free allowance never covers more than half of a run, so a run returning 6 results gets 3 free. That keeps the offer sustainable.

What it does

Monitor a public Facebook page for new posts and a posting spike. You get only what changed since your last check — never a full re-dump to diff yourself.

Why Vigia — 5 advantages a raw scraper can't match

  1. You pay the alert price only for real change. New-post alerts are billed only for genuinely new posts since your last check. A quiet run bills just the small source-check fee (the cost of looking) — never the alert price on unchanged data. Raw scrapers bill every row of a full re-scan every run.
  2. Never billed on a failed source. The source check is charged only when the source actually responded. If it's down, you don't pay for our outage.
  3. Append-only delta + spike signal. The first monitored run stores a free baseline; later runs deliver only what's new, plus a velocity-spike alert when volume suddenly surges (trend / review-bomb / hiring-surge).
  4. Hard cost cap you control. Set maxTotalChargeUsd and the run can never bill above it — predictable spend, no surprise invoice.
  5. Agent-ready output. Clean, normalized rows and a RUN_SUMMARY.json with ready-to-use signals — chainable from any MCP / A2A agent in one step.

Example input

{
"pageUrls": [
"https://www.facebook.com/nike"
],
"monitorEnabled": true,
"maxTotalChargeUsd": 1.0
}

Set monitorEnabled: true so the first run stores a free baseline and later runs return only new results. Pin a monitorId to keep separate targets from sharing state.

Output

Each row is a normalized change record: record_id, query_id, title, url, author, published_at, score, text. A RUN_SUMMARY.json accompanies every run with the aggregated signal (counts, velocity spikes, trend).

How you're charged

  • Post alert — billed once per new post since the last check (this is the only charge that scales with change).
  • Source check ($0.12) — billed once per monitored target per run, only when the source responded. A failed source is free.
  • A quiet run bills only the source check ($0.12), never the alert price. Vigia never scrapes the source itself; it chains a licensed scraper, caps every call, and passes you only the delta.

Part of the Vigia monitoring suite — change-only billing, outage-safe, agent-ready.

How to use it in 3 steps

  1. Click Try for free and fill in Facebook page URLs (pageUrls).
  2. Optional: adjust the other fields; every one has a description and a sensible default.
  3. Click Start and download the results as JSON, CSV or Excel, or read them from the API.

Use cases

  • Social listening
  • Competitor research
  • Reporting

Use it from code (API)

Every Apify Actor is an API. Start a run and read the results with one call.

Python

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("om_kh/facebook-page-posts-scraper").call(run_input={"pageUrls": ["https://www.facebook.com/nike"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('om_kh/facebook-page-posts-scraper').call({
"pageUrls": [
"https://www.facebook.com/nike"
]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

One HTTP call (cURL) — runs the Actor and returns the dataset in the same response:

curl -X POST "https://api.apify.com/v2/acts/om_kh~facebook-page-posts-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"pageUrls": ["https://www.facebook.com/nike"]}'

Integrations: n8n, Make, Zapier, Google Sheets

  • n8n — the official Apify node, operation Run Actor and get dataset, Actor om_kh/facebook-page-posts-scraper.
  • Make — Apify › Run an Actor, then Apify › Get Dataset Items.
  • Zapier — Apify › Run Actor; map the dataset items into your next step.
  • Google Sheets, webhooks, Slack — add an integration from the Integrations tab of this Actor.
  • Schedules — run it every hour or day from Schedules in Apify Console.

Use it from an AI agent (MCP)

This Actor runs in Standby and speaks the Model Context Protocol at /mcp, exposing one tool, facebook_page_new_posts. Add it to Claude Desktop, Cursor, VS Code or any MCP client through the Apify MCP server (https://mcp.apify.com), or call the Actor's Standby URL directly with the same JSON as the run input.

FAQ

Is it legal to scrape Facebook Page Posts? This Actor collects only publicly available Facebook Page Posts data and never logs in. You are responsible for how you use it; check Facebook Page Posts's terms and your local law (GDPR, CCPA) if you store personal data, and ask a lawyer if unsure.

Do I need an account, cookies or an API key? No. You only need an Apify account to run it.

What data do I get? Recent posts with text, likes, comments, shares and date. Download it as JSON, CSV, Excel, HTML or XML, or read it from the API.

Am I charged when something fails? No. An input that fails is listed with its reason in the run summary and is never charged.

Can I run it on a schedule? Yes. Create a schedule in Apify Console (hourly, daily, weekly) and connect webhooks, Google Sheets, Slack, n8n, Make or Zapier.

Can I use it from Python, JavaScript or an AI agent? Yes: see the code samples above, or connect AI agents through MCP with the facebook_page_new_posts tool.

More Actors from the same author