fsm-crawl 0.2.0

A parallel web crawler with consent management using Playwright

FSM-Crawl

A high-performance parallel web crawler built with Playwright and Python. Features automatic cookie consent management and configurable crawling strategies.

Features

• Parallel Tab Crawling: Open up to 10 tabs simultaneously for faster crawling
• Automatic Cookie Consent: Intelligently accepts cookies across multiple sites
• Multiple Crawling Strategies:
  • Normal crawl (no consent)
  • Normal crawl with cookies
  • Explorative crawl (probability-based navigation)
• Request/Response Logging: Detailed CSV logs of all network activity
• Distributed Crawling: Support for sharded crawls across multiple machines
• Headless & Headed Modes: Run with or without browser UI

Installation

Option 1: PyPI (Recommended)

pip install fsm-crawl

Option 2: From Git

pip install git+https://github.com/yourusername/fsm-crawl.git

Option 3: Development Install

git clone https://github.com/yourusername/fsm-crawl.git
cd fsm-crawl
pip install -e .

Quick Start

Basic Usage

# Run default normal crawl with 10 parallel tabs on first 1000 URLs
fsm-crawl

# Run with cookies enabled
fsm-crawl --experiment normal_with_cookies

# Run explorative crawl strategy
fsm-crawl --experiment explorative

Configuration

# Specify input URL file
fsm-crawl --path urls.csv

# Set output prefix for logs
fsm-crawl --prefix my_crawl

# Custom number of parallel tabs (1-20 recommended)
fsm-crawl --num-tabs 5

# Run in headless mode (no browser window)
fsm-crawl --headless

# Distributed crawling with shards
fsm-crawl --shard-index 0 --shard-count 4  # First shard of 4
fsm-crawl --shard-index 1 --shard-count 4  # Second shard of 4

CLI Commands

usage: fsm-crawl [-h] [--shard-index SHARD_INDEX] [--shard-count SHARD_COUNT]
                  [-e {normal,normal_with_cookies,explorative}]
                  [-p PATH] [--prefix PREFIX] [--path2 PATH2]
                  [--prefix2 PREFIX2] [--headless] [--engine {playwright}]
                  [--num-tabs NUM_TABS]

Run FSM web crawler experiments

optional arguments:
  -h, --help            show this help message and exit
  --shard-index SHARD_INDEX
                        Shard ID (for distributed runs)
  --shard-count SHARD_COUNT
                        Total number of shards (for distributed runs)
  -e {normal,normal_with_cookies,explorative}, --experiment {normal,normal_with_cookies,explorative}
                        Which experiment to run
  -p PATH, --path PATH  Path to input CSV for URL manager
  --prefix PREFIX       Filename prefix for output logs
  --path2 PATH2         Path to second CSV for two-run mode
  --prefix2 PREFIX2     Filename prefix for second run
  --headless            Run browser in headless mode
  --engine {playwright}
                        Browser engine to use
  --num-tabs NUM_TABS   Number of parallel tabs (default: 10)

Input Format

The input CSV file should have URLs, one per line or in standard CSV format:

https://example.com
https://another-site.com
https://third-site.org
...

Output

The crawler generates two CSV files in the crawl_logs/ directory:

• request_*.csv: All HTTP requests made during crawling
• response_*.csv: All HTTP responses received

Each row contains:

• Timestamp
• Request method, URL, headers
• Response status, headers, cookies
• Classification labels for blocking

Examples

Crawl with custom tabs and output prefix

fsm-crawl --experiment normal_with_cookies --path my_urls.csv --prefix my_crawl --num-tabs 8

Distributed crawling across 4 machines

# Machine 1
fsm-crawl --shard-index 0 --shard-count 4 --prefix distributed_crawl

# Machine 2
fsm-crawl --shard-index 1 --shard-count 4 --prefix distributed_crawl

# Machine 3
fsm-crawl --shard-index 2 --shard-count 4 --prefix distributed_crawl

# Machine 4
fsm-crawl --shard-index 3 --shard-count 4 --prefix distributed_crawl

Headless mode with explorative strategy

fsm-crawl --experiment explorative --headless --num-tabs 10

Development

Install dev dependencies

pip install -e ".[dev]"

Run tests

pytest

Run with Poetry

poetry run fsm-crawl --help

Configuration Files

The crawler uses a blocking/consent-manager.yaml file to define CMP (Consent Management Platform) detection and cookie acceptance rules.

Architecture

• PlaywrightEngine: Manages browser tabs and page interactions
• BrowserManager: Coordinates parallel crawling across tabs
• ConsentManager: Handles cookie acceptance automation
• RequestResponseLoggingPipeline: Logs all network activity to CSV

Requirements

• Python 3.11+
• Chromium browser (installed automatically via Playwright)
• 2GB RAM minimum (recommended 4GB+ for 10 tabs)

License

MIT

Support

For issues, please open a GitHub issue or contact the maintainers.

Citation

If you use FSM-Crawl in your research, please cite:

@software{fsm-crawl,
  title={FSM-Crawl: A Parallel Web Crawler with Consent Management},
  author={Schwerdtner, Henry},
  year={2026},
  url={https://github.com/yourusername/fsm-crawl}
}