This is the Linux app named spider_collection whose latest release can be downloaded as spider_collectionsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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spider_collection
DESCRIPTION:
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. It also contains examples of proxy pool integration and encapsulation to support more reliable crawling when working with sites that enforce request limits.
Features
- Collection of multiple Python web crawler scripts for different websites
- Uses common scraping libraries including requests, parsel, BeautifulSoup, and Scrapy
- Multi-threaded scraping support for improved crawling performance
- Proxy pool integration and encapsulation for handling anti-scraping measures
- Data processing and analysis examples using pandas and matplotlib
- Includes spiders for platforms such as video sites, Q&A services, and social media
Programming Language
JavaScript, Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/spider-collection.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.