reelscraper 2.2.1

A convenient way to harvest Reels data without breaking a sweat—or Instagram's TOS

ReelScraper

Scrape Instagram Reels data with ease—be it a single account or many in parallel—using Python, threading, robust logging, and optional database support.

Installation • Usage • Classes • Documentation • Contributing • License • Acknowledgments • Disclaimer

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💻 Installation

Requires Python 3.9+. Install directly from PyPI:

pip install reelscraper

Or clone from GitHub:

git clone https://github.com/andreaaazo/reelscraper.git
cd reelscraper
python -m pip install .

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🚀 Usage

ReelScraper supports detailed logging and optional persistence via a database. You can either scrape a single Instagram account or handle multiple accounts concurrently.

1. Single-Account Scraping

Use ReelScraper to fetch Reels for a single account. Optionally pass a LoggerManager for retry logs and progress tracking.

from reelscraper import ReelScraper
from reelscraper.utils import LoggerManager

# Optional logger setup
logger = LoggerManager()

# Initialize scraper with a 30-second timeout, no proxy, and logging
scraper = ReelScraper(timeout=30, proxy=None, logger_manager=logger)

# Fetch up to 10 reels for "someaccount"
reels_data = scraper.get_user_reels("someaccount", max_posts=10)
for reel in reels_data:
    print(reel)

2. Multi-Account Concurrency & Database Storage

Use ReelMultiScraper to process many accounts concurrently. Configure logging (LoggerManager) and database persistence (DBManager) if desired.

from reelscraper import ReelScraper, ReelMultiScraper
from reelscraper.utils import LoggerManager
from reelscraper.utils.database import DBManager

# Configure logger and optional DB manager
logger = LoggerManager()
db_manager = DBManager(db_url="sqlite:///myreels.db")

# Create a single scraper instance
single_scraper = ReelScraper(timeout=30, proxy=None, logger_manager=logger)

# MultiScraper for concurrency, database integration, and auto-logging
multi_scraper = ReelMultiScraper(
    single_scraper,
    max_workers=5,
    db_manager=db_manager,
)

# File contains one username per line, e.g.:
#   user1
#   user2
accounts_file_path = "accounts.txt"

# Scrape accounts concurrently
# If DBManager is provided, results are stored in DB, and this method returns None
all_reels = multi_scraper.scrape_accounts(
    accounts_file=accounts_file_path,
    max_posts_per_profile=20,
    max_retires_per_profile=10
)

if all_reels is not None:
    print(f"Total reels scraped: {len(all_reels)}")
else:
    print("All reels have been stored in the database.")

Note: If DBManager is set, scraped reels are saved to the database instead of being returned.

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🏗 Classes

ReelScraper

• Purpose:
  Fetches Instagram Reels for a single user session.
• Key Components:
  • InstagramAPI: Manages HTTP requests and proxy usage.
  • Extractor: Structures raw reel data.
  • LoggerManager (optional): Logs retries and status events.
• Key Method:
  • get_user_reels(username, max_posts=50, max_retries=10): Retrieves reels, handling pagination and retries.

ReelMultiScraper

• Purpose:
  Scrapes multiple accounts in parallel, powered by a single ReelScraper instance.
• Key Components:
  • ThreadPoolExecutor: Enables concurrent scraping.
  • AccountManager: Reads accounts from a local file.
  • LoggerManager (optional): Captures multi-account events.
  • DBManager (optional): Saves aggregated results to a database.
• Key Method:
  • scrape_accounts(accounts_file, max_posts_per_profile, max_retires_per_profile): Concurrently processes all accounts found in the file, optionally storing results in a DB.

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📄 Documentation

Find full usage details in the DOCS.md file.

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🤝 Contributing

We welcome PRs that enhance features, fix bugs, or improve docs.

1. Fork the repo.
2. Create a new branch.
3. Commit code changes (add tests where possible).
4. Open a pull request.

Your contributions are appreciated—happy coding!

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📄 License

Licensed under the MIT License. Feel free to modify and distribute, but please be mindful of best practices and ethical scraping.

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🙏 Acknowledgments

• Python Community: For making concurrency and requests straightforward to implement.
• Instagram: For providing reel content that inspires creativity.
• Beverages: For fueling late-night debugging and coding sessions.

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⚠ Disclaimer

This software is for personal and educational purposes only. Use it in accordance with Instagram’s Terms of Service. We do not promote or condone large-scale commercial scraping or any violation of privacy/IP rights.

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Enjoy scraping, and may your concurrency be swift!