Scrapy is a free application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data mining, information processing, or historical archival.
The Scrapy documentation can be found at scrapy.readthedocs.io.
To understand what these things mean, take a look at the Scrapy Architecture Overview.
- https://github.com/llonchj/scrapy-sentry - A python library that glues Sentry with Scrapy. Any spider errors will get pushed to Sentry.
- https://github.com/zachgoldstein/scrapy-statsd - Statsd integration middleware for Scrapy. All statistics get sent to Statsd.
- https://github.com/scrapy-plugins/scrapy-deltafetch - Middleware to ignore requests to pages containing items seen in previous crawls of the same spider. The database is BsdDb3.
- https://github.com/TeamHG-Memex/scrapy-crawl-once - Middleware to avoid re-crawling pages which were already downloaded in previous crawls. The database is Sqlite3.
- https://github.com/scrapy-plugins/scrapy-querycleaner - Middleware to clean up query parameters in request URLs.
- https://github.com/andrewbaxter/scrapy-errbackdupefilter - Middleware that causes dropping duplicate requests trigger the errback.
- https://github.com/orangain/scrapy-s3pipeline - Pipeline that stores items into S3 bucket in JSONLines format. Uploads items to S3 by chunk while crawler is running. Supports GZip compression.
- https://github.com/sebdah/scrapy-mongodb - MongoDB item pipeline inserts the items to MongoDB as soon as the spider finds data to extract.
- https://github.com/TeamHG-Memex/scrapy-kafka-export - Writes crawled items to to a Kafka topic.
- https://github.com/scrapy-plugins/scrapy-jsonschema - Schema validation pipeline and Item builder using JSON Schema.
- https://github.com/rmax/scrapy-redis - Redis-based requests queue scheduler.
- https://github.com/scrapinghub/scrapy-frontera - Flexible and featured Frontera scheduler.
- https://github.com/scrapy-plugins/scrapy-crawlera - Crawlera middleware for Scrapy.
- https://github.com/scrapy-plugins/scrapy-splash - Scrapy & JavaScript integration through Splash.
- https://github.com/TeamHG-Memex/scrapy-rotating-proxies - Use rotating proxies, check that they are alive and adjust crawling speed.
- https://github.com/aivarsk/scrapy-proxies - Processes requests using a random proxy from list to avoid IP bans.
- https://github.com/clemfromspace/scrapy-selenium - Handles javascript pages using selenium.
- https://github.com/alecxe/scrapy-fake-useragent - Random User-Agent middleware based on fake-useragent.
- https://github.com/ArturGaspar/scrapy-delayed-requests - Downloader middleware that delays a request by a number of seconds.
- https://github.com/scrapinghub/spidermon - Tools for data validation, stats monitoring and notification messages.
- https://github.com/andrewbaxter/scrapy-settingsdumper - Scrapy extension that logs effective settings at both the crawler and spider level.
- https://github.com/andrewbaxter/scrapy-httplogging - Scrapy extension that logs all HTTP requests and responses.
- https://github.com/ejulio/spider-feeder - Scrapy extension to help loading input files for Scrapy spiders.
- https://github.com/scrapinghub/dateparser - Parse localized dates in almost any string format and convert them to DateTime objects.
- https://github.com/scrapinghub/price-parser Extract price amount and currency symbol from a raw text string.
- https://github.com/scrapinghub/extruct - Extract embedded metadata from HTML markup. Supports HTML Microdata, Microformats, JSON-LD and Facebook's Open Graph.
- https://github.com/TeamHG-Memex/html-text - Deep extract text from HTML.
- https://github.com/scrapinghub/js2xml - Converts Javascript code to an XML document. This makes it easy to extract data embedded in JavaScript code using XPath.
- https://github.com/BurnzZ/scrapy-loader-upkeep - An alternative to the built-in ItemLoader of Scrapy which focuses on maintainability of fallback parsers.
- Portia - Visually scrape websites without any programming knowledge required. Annotate a web page to identify the data you wish to extract, Portia will understand based on these annotations how to scrape data from similar pages.
- Scrapely - Library for extracting structured data from HTML pages. Given some example web pages and the data to be extracted, Scrapely constructs a parser for all similar pages.
- github.com/scrapy/scrapy/wiki
- github.com/michael-yin/awesome-scrapy
- https://awesome-python.com/#web-crawling-web-scraping
- https://doc.scrapy.org/en/latest/intro/examples.html
- https://github.com/mjhea0/Scrapy-Samples
- https://github.com/eloyz/reddit
- https://github.com/geekan/scrapy-examples
Unlicensed aka Public Domain. See UNLICENSE for details.
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