botasaurusvsscrapydweb
Botasaurus is an all-in-one Python web scraping framework that combines browser automation, anti-detection, and scaling features into a single package. It aims to simplify the entire web scraping workflow from development to deployment.
Key features include:
- Anti-detect browser Ships with a stealth-patched browser that passes common bot detection tests. Automatically handles fingerprinting, user agent rotation, and other anti-detection measures.
- Decorator-based API Uses Python decorators (@browser, @request) to define scraping tasks, making code clean and easy to organize.
- Built-in parallelism Easy parallel execution of scraping tasks across multiple browser instances with configurable concurrency.
- Caching Built-in caching layer to avoid re-scraping pages during development and debugging.
- Profile persistence Can save and reuse browser profiles (cookies, localStorage) across scraping sessions for maintaining login state.
- Output handling Automatic output to JSON, CSV, or custom formats with built-in data filtering.
- Web dashboard Includes a web UI for monitoring scraping progress, viewing results, and managing tasks.
Botasaurus is designed for developers who want a batteries-included framework that handles anti-detection automatically, without needing to manually configure stealth settings or manage browser fingerprints.
ScrapydWeb is a web-based management tool for the Scrapyd service. It is built using the Python Flask framework and allows you to easily manage and monitor your Scrapy spider projects through a web interface.
ScrapydWeb allows you to view the status of your running spiders, view the logs of completed spiders, schedule new spider runs, and manage spider settings and configurations.
ScrapydWeb provides a simple way to manage your scraping tasks and allows you to schedule and run multiple spiders simultaneously. It also provides a user-friendly web interface that makes it easy to view the status of your spiders and monitor their progress.
You can install the package via pip by running pip install scrapydweb and then you can run the package by
running scrapydweb command in your command prompt.
It will start a web server that you can access through your web browser at http://localhost:6800/
You will need to have Scrapyd running in order to use ScrapydWeb,
Scrapyd is a service for running Scrapy spiders, it allows you to schedule spiders to run at regular intervals
and also allows you to run spiders on remote machines.