intelliscraper-core 0.1.7

Smart web scraper that abstracts away complexity - from simple sites to highly protected ones.

IntelliScraper

A powerful, anti-bot detection asynchronous web scraping solution built with Playwright, designed for scraping protected sites such as job hiring platforms, social networks, e-commerce dashboards, and other web applications that require authentication. It features asynchronous session management, proxy integration, and advanced HTML parsing capabilities for high-performance and reliable scraping under anti-bot protection systems.

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✨ Features

• 🔐 Session Management — Capture and reuse authentication sessions with cookies, local storage, and browser fingerprints.
• 🛡️ Anti-Detection — Advanced techniques to prevent bot detection.
• 🌐 Proxy Support — Integrated Bright Data and custom proxy configurations.
• 📝 HTML Parsing — Extract text, links, and convert to Markdown (including LLM-optimized output).
• 🎯 CLI Tool — Generate sessions through an interactive login flow.
• ⚡ Fully Asynchronous — Built with async/await for maximum concurrency and non-blocking I/O.
• 🚀 Playwright-Powered — Reliable automation framework for browser-based scraping.

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🚀 Quick Start

Installation

# Install the package
pip install intelliscraper-core

# Install Playwright browser (Chromium)
playwright install chromium

[!NOTE] Playwright requires browser binaries to be installed separately. The command above installs Chromium, which is necessary for IntelliScraper to function.

For more reference: https://pypi.org/project/intelliscraper-core/

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⚡ Basic Asynchronous Scraping (No Authentication)

import asyncio
from intelliscraper import AsyncScraper, ScrapStatus

async def main():
    async with AsyncScraper() as scraper:
        response = await scraper.scrape("https://example.com")

        if response.status == ScrapStatus.SUCCESS:
            print(response.scrap_html_content)

if __name__ == "__main__":
    asyncio.run(main())

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🔐 Creating Session Data

Use the built-in CLI tool to create and store authentication sessions:

intelliscraper-session --url "https://example.com" --site "example" --output "./example_session.json"

How it works:

1. 🌐 Opens a Chromium browser with the given URL
2. 🔐 Log in with your credentials
3. ⏎ Press Enter after successful login
4. 💾 Session data (cookies, storage, fingerprints) are saved to a JSON file

[!IMPORTANT] Sessions maintain internal time-series data such as timestamps, request durations, and scrape statuses. These metrics help analyze performance, rate limits, and stability of scraping sessions. Excessive concurrency may cause request failures, so gradual scaling is recommended.

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🧠 Authenticated Asynchronous Scraping with Session

import asyncio
import json
from intelliscraper import AsyncScraper, Session, ScrapStatus

async def main():
    # Load existing session
    with open("example_session.json") as f:
        session = Session(**json.load(f))

    async with AsyncScraper(session_data=session) as scraper:
        response = await scraper.scrape(
            "https://example.com/jobs/python?experience=entry-level%2Cmid-level"
        )

        if response.status == ScrapStatus.SUCCESS:
            print("Successfully scraped authenticated page!")
            print(response.scrap_html_content)

if __name__ == "__main__":
    asyncio.run(main())

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📝 HTML Parsing

import asyncio
from intelliscraper import AsyncScraper, HTMLParser, ScrapStatus

async def main():
    async with AsyncScraper() as scraper:
        response = await scraper.scrape("https://example.com")

        if response.status == ScrapStatus.SUCCESS:
            parser = HTMLParser(
                url=response.scrape_request.url,
                html=response.scrap_html_content
            )
            print(parser.text)
            print(parser.links)
            print(parser.markdown)
            print(parser.markdown_for_llm)

if __name__ == "__main__":
    asyncio.run(main())

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🌐 Proxy Support (Async)

Use a proxy with this web scraper, utilizing asynchronous blocks.

import asyncio
from intelliscraper import AsyncScraper, BrightDataProxy, ScrapStatus

async def main():
    bright_proxy = BrightDataProxy(
        host="brd.superproxy.io",
        port=22225,
        username="your-username",
        password="your-password"
    )

    async with AsyncScraper(proxy=bright_proxy) as scraper:
        response = await scraper.scrape("https://example.com")

        if response.status == ScrapStatus.SUCCESS:
            print("Scraped successfully through Bright Data proxy!")

if __name__ == "__main__":
    asyncio.run(main())

📁 More examples, including Bright Data configurations and session management, are available in the examples/ directory.

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📋 Requirements

• Python 3.12+
• Playwright
• Compatible with Windows, macOS, and Linux

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🗺️ Roadmap

• ✅ Async scraping (core feature)
• ✅ Session management CLI
• ✅ Proxy integration (Bright Data)
• ✅ HTML parsing and Markdown generation
• ✅ Anti-detection mechanisms
• 🔄 Distributed crawler mode
• 🔄 AI-based content extraction

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📄 License

Licensed under the MIT License.

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📧 Support

For help, issues, or contributions — visit the GitHub Issues page.

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