pyminiscraper 1.0.13

A mini web scraping utility package

pyminiscraper

Introduction

pyminiscraper is a lightweight Python library designed for easy web scraping. It provides a simple interface to extract data from web pages with minimal setup. Whether you are a beginner or an advanced user, pyminiscraper offers the flexibility to handle various scraping tasks efficiently.

Features

Feature	Implemented
Basic Web Page scraping	✅
Extremely scalable async scraping	✅
Web Page spidering	✅
Parallel requests	✅
Headless browser support	✅
Robots parsing	✅
Sitemap parsing	✅
RSS parsing	✅
Atom parsing	✅
Open Graph parsing	✅
Rate limiting	✅
Error handling	✅
Depth control	✅
Custom user agent	✅
File storage	✅
Custom callbacks	✅
Domain restrictions	✅
Request timeout	✅
Page caching	✅

How does it work

┌───────────────────┐
│                   │
│  Initializing     │
│                   │
└─────────┬─────────┘
          │
          ▼
┌───────────────────┐
│     Download      │
│     Robots.txt    │
│                   │
└─────────┬─────────┘
          │
          ▼
┌───────────────────┐
│     Queue for     │
|    Configurable   |◀────┐
|      Parallel     |     |
|     Processing    |     |
└─────────┬─────────┘     |
          │               |
          ▼               |
┌───────────────────┐     |    ┌───────────────────┐
│        Scrape     │     |    │                   │
|      Web Pages,   |     |    │    Loading        │
│     RSS & Atom    │──── | ───│    Saving         │
│                   │     |    │    Web Pages      │    
└─────────┬─────────┘     |    └───────────────────┘ 
          │               |
          ▼               |
┌───────────────────┐     |
│      Discover     │     |   
│      Outgoing     |     |
|     Web Page      │─────┘
|  RSS/Atom feed    |
│      links        │
└───────────────────┘

Use Cases

Downloading only sitemap referenced web pages

Here is a basic example of how to use pyminiscraper to scrape

scraper = Scraper(
    ScraperConfig(
        seed_urls=[
            ScraperUrl(
                "https://www.anthropic.com/", max_depth=2, ScraperUrlType.HTML)
        ],
        follow_sitemap_links=True,
        follow_web_page_links=False,
        follow_feed_links=False,
        scraper_store_factory=FileStoreFactory(storage_dir),
    ),
)
await scraper.run()

Scraping pages referenced in Atom/RSS Feeds

Here is a basic example of how to use pyminiscraper to scrape

scraper = Scraper(
    ScraperConfig(
        seed_urls=[
            ScraperUrl(
                "https://feeds.feedburner.com/PythonInsider", type= ScraperUrlType.FEED)
        ],
        follow_sitemap_links=False,
        follow_web_page_links=False,
        follow_feed_links=True,
        scraper_store_factory=FileStoreFactory(storage_dir),
    ),
)
await scraper.run()

Full web site capture/spidering using all possible sources of references Sitemaps/Atom/RSS/links on Web Pages

Here is a basic example of how to use pyminiscraper to scrape

scraper = Scraper(
    ScraperConfig(
        seed_urls=[
            ScraperUrl(
                "https://www.anthropic.com/", type= ScraperUrlType.FEED)
        ],
        follow_sitemap_links=True,
        follow_web_page_links=True,
        follow_feed_links=True,
        scraper_store_factory=FileStoreFactory(storage_dir),
    ),
)
await scraper.run()

High volume scraping

Here is a basic example of how to use pyminiscraper to scrape

async def scrape_site(url: str)
    scraper = Scraper(
        ScraperConfig(
            seed_urls=[
                ScraperUrl(
                    url, type= ScraperUrlType.FEED)
            ],
            follow_sitemap_links=True,
            follow_web_page_links=True,
            follow_feed_links=True,
            scraper_store_factory=FileStoreFactory(storage_dir),
        ),
    )
    await scraper.run()

sites = [
            "https://example1.com", 
            "https://example2.com", 
            "https://example3.com"
        ]
tasks = [scrape_site(url) for url in sites]
await asyncio.gather(*tasks)

Advanced Configuration Options

Configuration for web scraping behavior.

Parameters:

• max_parallel_requests (int): Maximum number of concurrent scraping requests
• max_requested_urls (int): Maximum total number of URLs to request before stopping
• max_depth (int): Maximum depth for recursively following links (0 means only scrape seed URLs)
• max_back_to_back_errors (int): Number of consecutive errors before terminating scraper
• crawl_delay_seconds (float): Minimum delay between requests to same domain
• request_timeout_seconds (float): Request timeout in seconds
• user_agent (str): User agent string to use in requests
• store_factory: Factory for creating storage backend
• seed_urls (List[ScraperUrl]): Initial URLs to start scraping from
• use_headless_browser (bool): Whether to use headless browser for JavaScript rendering
• follow_web_page_links (bool): Whether to follow links found in web pages
• follow_sitemap_links (bool): Whether to follow links found in sitemaps
• follow_feed_links (bool): Whether to follow links found in RSS/Atom feeds
• domain_config (DomainConfig): Configuration for allowed/blocked domains
• log (Callable): Logging function to use

The scraper will:

• Start with seed URLs and scrape them according to configuration
• Follow links up to max_depth if follow_web_page_links is True
• Follow sitemap.xml links if follow_sitemap_links is True
• Follow RSS/Atom feed links if follow_feed_links is True
• Respect robots.txt and crawl delay settings
• Store results using provided store_factory
• Stop when max_requested_urls is reached or max_back_to_back_errors occurs