Web Scraping With Scrapy and MongoDB – Real Python
Scrapy is a robust Python web scraping framework that can manage requests asynchronously, follow links, and parse site content. To store scraped data, you can use MongoDB, a scalable NoSQL database, that stores data in a JSON-like format. Combining Scrapy with MongoDB offers a powerful solution for web scraping projects, leveraging Scrapy’s efficiency and MongoDB’s flexible data storage. In this t
Incremental crawler with Scrapy and MongoDB
updated on 25/12/2018 : fixed from_crawler method overriding In this post I will show you how to scrape a website incrementally. Each new scraping session will only scrape new items. We will be crawling Techcrunch blog posts as an example here. This tutorial will use Scrapy, a great Python scraping library. It’s simple yet very powerful. If you don’t know it, have a look at their overview page. We
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GitHub - sebdah/scrapy-mongodb: MongoDB pipeline for Scrapy. This module supports both MongoDB in standalone setups and replica sets. scrapy-mongodb will insert the items to MongoDB as soon as your spider finds data to extract.
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