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UniversalWebCrawler

Overview

UniversalWebCrawler is a versatile and powerful web crawling tool designed in Python, equipped with features that make data scraping from websites seamless and efficient. With the ability to easily adapt to various websites and prevent IP blocking, UniversalWebCrawler simplifies the process of extracting valuable data for your projects.

Features

1. Adaptive Crawling

UniversalWebCrawler is built to handle various websites with minimal adjustments and modifications. The flexible architecture allows users to easily customize the crawler for specific websites, ensuring a smooth and reliable scraping experience.

2. IP Block Prevention

Say goodbye to IP blocking issues! UniversalWebCrawler employs intelligent techniques to prevent your IP address from getting blocked while scraping data. This ensures uninterrupted data retrieval even from websites with stringent anti-scraping measures.

3. Speed and Efficiency

Designed for speed, UniversalWebCrawler optimizes the crawling process for swift data extraction. Take advantage of its efficiency to quickly gather the information you need, even from large and complex websites.

4. User Agent Management

To further enhance your scraping capabilities, UniversalWebCrawler includes a user agent middleware that efficiently manages user agents. This feature helps you mimic different browsers and devices, making your requests appear more natural and reducing the chances of detection.

5. Integration with ScrapeOps API

UniversalWebCrawler seamlessly integrates with ScrapeOps API, providing users with a wide array of pre-configured settings and resources. Accessing the ScrapeOps API enhances your scraping experience by providing additional tools and options to streamline your data extraction tasks.

Getting Started

Installation

pip install universal-web-crawler

Example Usage

from universal_web_crawler import UniversalWebCrawler

# Instantiate the crawler
crawler = UniversalWebCrawler()

# Set target URL
target_url = "https://example.com"

# Customize crawler settings if needed
crawler.set_max_depth(5)
crawler.set_delay(0.5)

# Start crawling
data = crawler.crawl(target_url)

# Process and analyze the extracted data
process_data(data)

For more detailed information and advanced usage, refer to the documentation.

Contributing

We welcome contributions from the community! If you find a bug, have a feature request, or want to contribute to the codebase, please check our contribution guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For any questions or issues, please open an issue on GitHub.

Happy scraping with UniversalWebCrawler! 🌐✨

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