autocrawler's Introduction

AutoCrawler

This is the official code for paper "AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation".

Setup

# Clone the AutoCrawler repository
git clone https://github.com/EZ-hwh/AutoCrawler

# Change directory into the cloned repository
cd AutoCrawler

# Optional: Create a Conda environment for AutoCrawler
# conda create -n autocrawler python=3.9
# conda activate autocrawler

# Install required dependencies
pip install -r requirements.txt

TODOs

Public the experimental code.
Adapt AutoCrawler for real-world websites.
Website for showing our demo and testing.

Experiments

If you want to reproduce the result we report in paper.

# Generate crawler with AutoCrawler
python crawler_generation.py \
    --pattern reflexion \
    --dataset swde \
    --model ChatGPT \
    --seed_website 3 \
    --save_name ChatGPT \
    --overwrite False

# Extract information with crawler
python crawler_extraction.py \
    --pattern autocrawler \
    --dataset swde \
    --model GPT4

# Evaluate the extraction on SWDE dataset
python run_swde/evaluate.py \
    --model GPT4 \
    --pattern autocrawler

📝 Citation

If you find this work useful, please consider citing our work:

@misc{huang2024autocrawler,
      title={AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation}, 
      author={Wenhao Huang and Chenghao Peng and Zhixu Li and Jiaqing Liang and Yanghua Xiao and Liqian Wen and Zulong Chen},
      year={2024},
      eprint={2404.12753},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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