Skip to main content

Professional-grade Facebook data extraction tool - BINARY COMPILED for maximum code protection

Project description

Mashrur Facebook Scraper - Ultra Simple

Made by Mashrur Rahman

Ultra Simple - Just 5 Parameters

from mashrur_facebook_scraper import scrape_facebook_posts

posts = scrape_facebook_posts("email", "password", "page_url", num_posts, "output_file.json")

Installation

pip install mashrur-facebook-scraper

Usage

Create your scraper file:

from mashrur_facebook_scraper import scrape_facebook_posts

posts = scrape_facebook_posts(
    "your_email@example.com",
    "your_password",
    "https://www.facebook.com/indianexpress",
    5,
    "my_data.json"
)

print(f"Scraped {len(posts)} posts!")

Function Parameters

Parameter Type Description
email str Your Facebook email
password str Your Facebook password
page_url str Facebook page URL
num_posts int Number of posts
output_filename str Output JSON filename

Output Format

The scraper generates clean JSON data with the following structure:

[
  {
    "post_id": "123456789",
    "url": "https://facebook.com/posts/123456789",
    "content": "Post content text here...",
    "user_username_raw": "Page Name",
    "date_posted": "2025-01-15T10:30:00Z",
    "likes": 1250,
    "num_comments": 45,
    "num_shares": 12,
    "media_urls": ["https://facebook.com/image1.jpg"],
    "hashtags": ["#example", "#hashtag"],
    "post_type": "Post",
    "is_sponsored": false
  }
]

Advanced Examples

Batch Processing Multiple Pages

from mashrur_facebook_scraper import scrape_facebook_posts

pages = [
    "https://www.facebook.com/cnn",
    "https://www.facebook.com/bbc",
    "https://www.facebook.com/reuters"
]

for page in pages:
    page_name = page.split('/')[-1]
    filename = f"{page_name}_posts.json"

    posts = scrape_facebook_posts(
        email="your_email@example.com",
        password="your_password",
        page_url=page,
        num_posts=20,
        output_filename=filename
    )

    print(f"Scraped {len(posts)} posts from {page_name}")

Error Handling

from mashrur_facebook_scraper import scrape_facebook_posts

try:
    posts = scrape_facebook_posts(
        email="your_email@example.com",
        password="your_password",
        page_url="https://www.facebook.com/invalidpage",
        num_posts=10
    )
except ValueError as e:
    print(f"Input error: {e}")
except Exception as e:
    print(f"Scraping error: {e}")

Requirements

  • Python 3.7 or higher
  • Chrome browser installed
  • Valid Facebook credentials
  • Stable internet connection

Support

License

Proprietary - All rights reserved to Mashrur Rahman

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mashrur_facebook_scraper-2.0.3-py3-none-any.whl (124.9 kB view details)

Uploaded Python 3

File details

Details for the file mashrur_facebook_scraper-2.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for mashrur_facebook_scraper-2.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 24643395d48c61bcacf1175556786487b2b1a9d2cac96fef9c6978447337cd23
MD5 cce3604c5845f4062b82c835002604c0
BLAKE2b-256 eb13609551e927ebb3b13c5d6b3045b8f41fe537c1c01544b1437402203db55e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page