Pricing

from $2.50 / 1,000 post scrapeds

Facebook Posts Scraper⚡

Facebook Posts Scraper returns Reactions, HD/SD video URLs, attached story, attachment accessibility captions, attachment count, attachment target urls, attachment types, attachments, cache id, can viewer see menu, captions urls, client view config, comet sections, comment count total for every row.

Pricing

from $2.50 / 1,000 post scrapeds

Rating

0.0

(0)

Developer

Premium Scraper

Actor stats

Bookmarked

255

Total users

Monthly active users

7 days ago

Last modified

Categories

Social media

Automation

Developer tools

You can access the Facebook Posts Scraper⚡ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "username": ["Cristiano"],
10    "facebook_urls": [{ "url": "https://www.facebook.com/IamSRK" }],
11    "posts_count": 10,
12    "proxyCountry": "US",
13    "comments_limit": 20,
14    "comment_filter": "most_relevant",
15    "comment_replies_limit": 10,
16    "share_people_limit": 10,
17    "keyValueStorePrefix": "",
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("premiumscraper/facebook-posts-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
25for item in client.dataset(run.default_dataset_id).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Posts Scraper⚡ API in Python

The Apify API client for Python is the official library that allows you to use Facebook Posts Scraper⚡ API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Posts Scraper⚡ API in JavaScript

Facebook Posts Scraper⚡ API through CLI

Facebook Posts Scraper⚡ OpenAPI definition

Facebook Posts Scraper⚡ API

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🔎 Facebook Posts Search Scraper extracts public posts by keyword or URL—text, author/page, date, link, reactions, comments, shares & media. 📊 Ideal for social listening, brand monitoring, competitor research & trend analysis. ⚡ Fast, scalable, CSV/JSON export.

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Scrape public Facebook post data without login. Extracts post text, engagement metrics (likes, comments, shares), publish date, media URLs, and page name. Supports posts, reels, photos, and permalink URLs. Fast and lightweight with residential proxy support.

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