Scrapy — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Scrapy. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 26, 2026 • Sentiment updated: Jun 29, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Its really more for people who tend to archive random videos and images from all over and want to browse them in a pleasant way, as mentioned on HackerNews

Pros & Cons

What People Love

Easy web scraping with Scrapy, as praised on GitHub, Useful for data collection, as discussed on DEV

Common Complaints

Scraping issues, Data quality problems

Biggest Positive: Easy web scraping

Biggest Negative: Scraping issues

Why Scrapy Stands Out

Scrapy stands out from other web scraping frameworks due to its asynchronous architecture, which enables fast and efficient data extraction. Its ability to handle different data formats and store data in various formats makes it a versatile tool for a wide range of use cases. Additionally, Scrapy's large community and extensive documentation make it a great choice for both beginners and experienced developers. As stated in the README, Scrapy is 'a web scraping framework to extract structured data from websites' and is maintained by Zyte and many other contributors.

Built With

Build a web scraper that extracts product information from e-commerce sites — Scrapy's asynchronous architecture enables fast and efficient data extraction, Build a data pipeline that integrates with databases and data warehouses — Scrapy's item pipelines allow for easy data processing and storage, Build a monitoring tool that tracks website changes and updates — Scrapy's scheduler and notifier systems enable real-time monitoring and alerts, Build a research tool that analyzes website structure and content — Scrapy's link extractor and content parser enable in-depth analysis of website data, Build a web archiving tool that preserves historical website data — Scrapy's ability to handle different data formats and store data in various formats enables long-term preservation of website data

Getting Started

  1. Install Scrapy using pip: `pip install scrapy`
  2. Create a new Scrapy project using `scrapy startproject myproject`
  3. Define your spider in `myproject/spiders/myspider.py` and configure the settings in `myproject/settings.py`
  4. Run your spider using `scrapy crawl myspider` and store the data in a JSON file using `scrapy crawl myspider -o data.json`
  5. Try scraping a website using `scrapy shell https://example.com` to verify that Scrapy works as expected

About

Scrapy, a fast high-level web crawling & scraping framework for Python.

Official site: https://scrapy.org

Category & Tags

Category: data

Tags: crawler, crawling, framework, hacktoberfest, python, scraping, web-scraping, web-scraping-python

Market Context

Competing web scraping tools