Facebook Posts Scraper

🧩 What does Facebook Posts Scraper do?

A Facebook Posts Scraper is a powerful automation tool that helps you extract public posts, comments, reactions, timestamps, media links, and engagement metrics from Facebook pages, groups, and profiles — all without manual copy-pasting. ✨
It is widely used by marketers, researchers, data analysts, and social media agencies who need structured Facebook insights at scale.

Whether you're using an Apify Facebook Posts Scraper, a Facebook post scraper extension, or a Facebook posts scraper Python script, the goal remains the same: turning raw Facebook data into actionable insights.

From improving SEO strategies to powering competitor analysis and audience research, a well-optimized Facebook posts scraper gives you a measurable advantage in content planning and social listening. 🔍📊

📥 What Facebook Posts Scraper Can I Extract?

Here’s a clear breakdown of the data types a Facebook Posts Scraper can extract (supports Apify, Python, GitHub tools, and browser extensions):

📊 Extractable Data Table

Data Type	Description	Example Use
Post Text	Main text content of the Facebook post	Content research, sentiment analysis
Post ID	Unique identifier for each post	Tracking & referencing
Timestamps	When the post was published	Trend analysis
Author Details	Name or page posting the content	Competitor insights
Reactions	Likes, love, wow, etc.	Engagement analytics
Comments	Text + author + timestamps	Customer feedback research
Shares Count	Number of shares	Virality tracking
Media Links	Images, videos, external link previews	Content curation
Hashtags	Extracted keywords	SEO & tagging strategy

⭐ Key Features of Facebook Posts Scraper

A top-tier Facebook Posts Scraper (Apify, GitHub, or browser extension) comes with a wide range of user-friendly features. Here are the most important ones:

• 🔍 Multi-source extraction — scrape posts from pages, groups, and profiles.

• ⚡ Fast data processing — extract hundreds or thousands of posts quickly.

• 📂 Export formats — JSON, CSV, Excel, API integration.

• 🤖 Automation-ready — schedule recurring scrapes for continuous monitoring.

• 🌎 Supports multiple tools — works with Facebook posts scraper Python, GitHub repositories, and Facebook post scraper Chrome extensions.

• 🧠 Smart parsing — automatically extracts reactions, comments, shares, and media.

• 🔐 Privacy-aware — scrapes only publicly accessible data.

• 💡 SEO & marketing friendly — provides insights to optimize content strategies.

• 🔄 Pagination & infinite-scroll handling — useful for large page histories.

• 🧩 Easy input configuration — URLs, keywords, or group/page IDs

🛠️ How to Use Facebook Posts Scraper?

Follow this simple step-by-step guide to extract Facebook posts effortlessly — perfect for Apify users, but also relevant for Python and GitHub versions.

🔧 Step-by-Step Guide

1. Log in to Apify — Create a free account or sign in.

2. Select the Actor — Search for “Facebook Posts Scraper” or Apify Facebook Posts Scraper.

3. Enter Input Data — Paste Facebook page/group URLs into the startUrls field.

4. Choose Options — Select the number of posts, filters, or media extraction preferences.

5. Run the Actor — Hit Start. The scraper will automatically fetch all Facebook posts.

6. Download Results — Export as JSON, CSV, or Excel for analysis.

🎯 Use Cases

A Facebook Posts Scraper unlocks powerful use cases across industries. Here’s what you can do:

• 📈 Marketing & Social Media Analysis — Track competitor content, top-performing posts, and engagement trends.

• 📰 Journalism & Research — Monitor public conversations, analyze group discussions, and gather insights from communities.

• 🧩 Product Feedback Mining — Extract comments to discover customer needs and complaints.

• 📊 Brand Monitoring — Identify brand mentions across Facebook pages and groups.

• 🤝 Lead Generation — Analyze audience behavior in niche groups.

• 🧠 AI/ML Dataset Creation — Build datasets for sentiment analysis or NLP.

• 🛒 E-commerce Trend Tracking — Identify viral products in Facebook groups.

💙 Why Choose Us?

Choosing our Facebook Posts Scraper means choosing performance, reliability, and ease of use. Here’s what sets us apart:

• 🚀 Industry-leading speed — Extract thousands of posts in minutes.

• ✔️ No coding required — Perfect for beginners and experts.

• 🔧 Flexible setup — Ideal for marketers, developers, and analysts.

• 🔒 Secure & compliant — We scrape only publicly accessible data.

• 🌐 Cloud-powered automation — Schedule tasks and run scraping 24/7.

• 📊 Clean, structured output — Ready for spreadsheets, dashboards, or APIs.

• 🤖 Developer-friendly — Works seamlessly with Python, GitHub, and browser extensions.

📈 How many results can you scrape with Facebook Posts Scraper?

A high-performance Facebook Posts Scraper is designed to scale — whether you’re scraping 10 posts or 100,000+. Its cloud-based architecture (e.g., Apify Facebook Posts Scraper) ensures reliable extraction without slowing down your workflow.

🚀 Scalability Breakdown

• Small Scale (1–100 posts)
  Perfect for quick research and editorial planning.

• Medium Scale (100–10,000 posts)
  Ideal for competitor audits, trend analysis, or long-term monitoring.

• Large Scale (10,000+ posts)
  Supports enterprise-level scraping, academic datasets, and machine-learning pipelines.

With proper configuration, batching, and pagination handling, the scraper can process massive post archives from:

• Facebook Pages

• Facebook Groups

• Public Profiles

Whether you prefer a free Facebook post scraper, a Facebook post scraper extension, or a Facebook posts scraper Python project, scaling remains smooth and efficient.

⚖️ Is it legal to scrape Facebook Posts?

Scraping public Facebook posts is generally allowed when:

• You scrape only publicly available information

• You respect Facebook’s Terms of Service

• You avoid bypassing login restrictions

• You comply with local data privacy laws (GDPR, CCPA, etc.)

A Facebook Posts Scraper does not access private data or restricted content. It simply automates what a user could manually view on the platform.

For ethical compliance:

• Don’t scrape personal data

• Use data responsibly

• Always follow platform rules

🧩 Input Parameters

📥 JSON Input Example

{
    "includeVideoTranscript": false,
    "maxPosts": 20,
    "proxyConfiguration": {
        "useApifyProxy": false
    },
    "startUrls": [
        "https://www.facebook.com/humansofnewyork/"
    ]
}

📤 Output Format

📤 JSON Output Example

{
    "facebookUrl": "https://www.facebook.com/humansofnewyork/",
    "postId": "1423154279375557",
    "pageName": "humansofnewyork",
    "url": "https://www.facebook.com/humansofnewyork/posts/pfbid0TbJe9cjm4TXRSy5HUtyqtCe11TWQfsGaui7wDpGF1rV18mGnQ7ccRkxuowqabLVpl",
    "time": "2025-12-17T18:36:56.000Z",
    "timestamp": 1765996616,
    "user": {
      "id": "100050429952420",
      "name": "Humans of New York",
      "profileUrl": "https://www.facebook.com/100050429952420",
      "profilePic": "https://scontent.fmba5-2.fna.fbcdn.net/v/t39.30808-1/334611134_1536915246801761_214912837020673325_n.jpg?stp=c341.0.1365.1365a_cp0_dst-jpg_s80x80_tt6&_nc_cat=105&ccb=1-7&_nc_sid=2d3e12&_nc_ohc=Oe18wdHl1WUQ7kNvwEYxQ4I&_nc_oc=Adl8yLuu4Ngbq0E2818oF88iRU_YjA7tFoOpc5t-gMnFVGGGoO5pKobKOpzhht-c1lk&_nc_zt=24&_nc_ht=scontent.fmba5-2.fna&_nc_gid=vtSR4VgNamMt44IGCnWSmw&oh=00_AfrIw5OdfT-8kDFLuXzbLuTD_gwRciSBqz5OMLy0Sjd0Zw&oe=6961A366"
    },
    "text": "A few more days to order Dear New York before Christmas. At nearly 500-full color pages, Dear New York is the most beautiful and expansive collection of stories to ever come out of Humans of New York-- including hundreds that have never before been published. Currently discounted 55% on Amazon.\n\nOrder Here: https://bit.ly/dearnewyorkbook\n\nThank you to the NY Times for so kindly including Dear New York on it's list of Gift-Worthy Holiday Art Books.",
    "textReferences": [
      {
        "id": "NjQyMTgzOTU5MjA4MTA3Omh0dHBzXGEvL2JpdC5seS9kZWFybmV3eW9ya2Jvb2s6OkRlZmF1bHQ6OjoxNDIzMTU0Mjc5Mzc1NTU3",
        "url": "https://www.facebook.com/NjQyMTgzOTU5MjA4MTA3Omh0dHBzXGEvL2JpdC5seS9kZWFybmV3eW9ya2Jvb2s6OkRlZmF1bHQ6OjoxNDIzMTU0Mjc5Mzc1NTU3",
        "profile_url": "https://www.facebook.com/NjQyMTgzOTU5MjA4MTA3Omh0dHBzXGEvL2JpdC5seS9kZWFybmV3eW9ya2Jvb2s6OkRlZmF1bHQ6OjoxNDIzMTU0Mjc5Mzc1NTU3",
        "short_name": null,
        "work_info": null,
        "work_foreign_entity_info": null,
        "mobileUrl": "https://m.facebook.com/NjQyMTgzOTU5MjA4MTA3Omh0dHBzXGEvL2JpdC5seS9kZWFybmV3eW9ya2Jvb2s6OkRlZmF1bHQ6OjoxNDIzMTU0Mjc5Mzc1NTU3/"
      }
    ],
    "likes": 449,
    "comments": 115,
    "shares": 33,
    "topReactionsCount": 4,
    "media": [
      {
        "mediaset_token": "pcb.1423154279375557",
        "url": "https://www.facebook.com/humansofnewyork/posts/pfbid0TbJe9cjm4TXRSy5HUtyqtCe11TWQfsGaui7wDpGF1rV18mGnQ7ccRkxuowqabLVpl",
        "comet_product_tag_feed_overlay_renderer": null
      },
      {
        "thumbnail": "https://scontent.fmba5-2.fna.fbcdn.net/v/t39.30808-6/599140361_1423151986042453_6897813574530477673_n.jpg?stp=dst-jpg_s1080x2048_tt6&_nc_cat=106&ccb=1-7&_nc_sid=127cfc&_nc_ohc=hhuNzSMWKaQQ7kNvwGxupkN&_nc_oc=Adne_fcqlc4wYnHhm9v-H8ZksURafaHh5DEc-tsdMo2o6ngopTNp9WaaxWmwC-8tcT8&_nc_zt=23&_nc_ht=scontent.fmba5-2.fna&_nc_gid=vtSR4VgNamMt44IGCnWSmw&oh=00_AfpEToRD9VPVWOswp0okSB6pJCvNcIY2F4AnVYjSxzHNRQ&oe=69619945",
        "__typename": "Photo",
        "is_playable": false,
        "image": {
          "uri": "https://scontent.fmba5-2.fna.fbcdn.net/v/t39.30808-6/599140361_1423151986042453_6897813574530477673_n.jpg?stp=dst-jpg_s1080x2048_tt6&_nc_cat=106&ccb=1-7&_nc_sid=127cfc&_nc_ohc=hhuNzSMWKaQQ7kNvwGxupkN&_nc_oc=Adne_fcqlc4wYnHhm9v-H8ZksURafaHh5DEc-tsdMo2o6ngopTNp9WaaxWmwC-8tcT8&_nc_zt=23&_nc_ht=scontent.fmba5-2.fna&_nc_gid=vtSR4VgNamMt44IGCnWSmw&oh=00_AfpEToRD9VPVWOswp0okSB6pJCvNcIY2F4AnVYjSxzHNRQ&oe=69619945",
          "height": 1345,
          "width": 1080
        },
        "id": "1423151982709120",
        "__isMedia": "Photo",
        "photo_cix_screen": null,
        "copyright_banner_info": null,
        "owner": {
          "__typename": "User",
          "id": "100050429952420"
        },
        "ocrText": "May be an image of text"
      }
    ],
    "feedbackId": "ZmVlZGJhY2s6MTQyMzE1NDI3OTM3NTU1Nw==",
    "topLevelUrl": "https://www.facebook.com/100050429952420/posts/1423154279375557",
    "facebookId": "100050429952420",
    "pageAdLibrary": {
      "is_business_page_active": false,
      "id": "100050429952420"
    },
    "inputUrl": "https://www.facebook.com/humansofnewyork/"
  },

❓ FAQ

1️⃣ Is there a free Facebook Posts Scraper?

Yes! You can use free Facebook post scrapers, GitHub tools, or open-source Python libraries.

2️⃣ Can I scrape Facebook group posts?

Absolutely — a Facebook group posts scraper can extract data from public groups.

3️⃣ Does this work with Python?

Yes — many users scrape Facebook posts using Python or the library from facebook_scraper import get_posts.

4️⃣ Is there a Facebook post scraper Chrome extension?

Yes, several Chrome extensions allow lightweight Facebook scraping.

5️⃣ Does Apify offer a Facebook Posts Scraper?

Yes — the Apify Facebook Posts Scraper is one of the most reliable options.

6️⃣ Can I scrape Facebook posts online without coding?

Yes — the Facebook posts scraper online version (Apify) requires no programming.

7️⃣ How many posts can I scrape at once?

Thousands — depending on your configuration and limits.

🏁 Conclusion

A Facebook Posts Scraper empowers marketers, researchers, and businesses to extract valuable Facebook data quickly and efficiently. 🚀 Whether using Apify, Python, GitHub tools, or browser extensions, it streamlines insights, boosts content strategy, and unlocks smarter decision-making—all while staying compliant and user-friendly. 💡