rmax

scrapy-redis

Python2014–2022

rmax / scrapy-redis

scrapy-redis

Redis-based components for Scrapy.

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4Distinct people

4Mentions

0Explicit recommenders

5.6KGitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

Redis-based components for Scrapy.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2014-03-11 03:36:32 UTC to 2022-08-10 15:32:19 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
2014	2014-01-01 00:00:00 UTC	2015-01-01 00:00:00 UTC	2	2
2015	2015-01-01 00:00:00 UTC	2016-01-01 00:00:00 UTC	0	0
2016	2016-01-01 00:00:00 UTC	2017-01-01 00:00:00 UTC	0	0
2017	2017-01-01 00:00:00 UTC	2018-01-01 00:00:00 UTC	1	1
2018	2018-01-01 00:00:00 UTC	2019-01-01 00:00:00 UTC	0	0
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	0	0
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	0	0
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	0	0
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	1	1

What Hacker News says

4 sources

Stefan_Smirnov·Aug 10, 2022

I’m biased since I’m an owner of a web scraping agency (https://webscrapingsolutions.co.uk/). I was asking myself the same question in 2019. You can use any programming language, but have settled on this tech-stack Python, Scrapy (https://github.com/scrapy/scrapy), Redis, PostgreSQL. for the following reasons: [1] Scrapy is a well-documented framework, so any Python programmer can start using it after 1 month of training. There are a lot of guides for beginners. [2] Lots of features are already implemented and open-source, you won’t have to waste time & money on them. [3] There is a strong community that can help with most of the questions (I don't think any other alternative has that). [4] Scrapy developers are cheap. You will only need junior+ to middle level software engineers to pull out most of the projects. It’s not rocket since. [5

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] Recruiting is easier: - there are hundreds of freelancers with relevant expertise - if you search on LinkedIn - there are hundreds of software developers that have worked with Scrapy in the past, and you don’t need that many - you can grow expertise in your own team quickly - developers are easily replaceable, even on larger projects - you can use the same developers on backend tasks. [6] You don’t need a DevOps expertise in your web scraping team because Scrapy Cloud (https://www.zyte.com/scrapy-cloud/) is good and cheap enough for 99% of the projects. [7] If you decide to have your own infrastructure, you can use https://github.com/scrapy/scrapyd. [8] The entire ecosystem is well-well-maintained and steadily growing. You can integrate a lot of 3-rd party services into your project within hours: proxies, captcha solving, headless browsers, HTML parsing APIs. [9] It’s easy to integrate your own AI/ML models into the scraping workflow. [10]. With some work, you can use Scrapy for distributed projects that are scraping thousands (millions) of domains. We are using https://github.com/rmax/scrapy-redis. [11] Commercial support is available. There are several companies that can develop you an entire project or take over an existing one - if you don’t have the time/don’t want to do it on your own. We have built dozens of projects in multiple industries: - news monitoring - job aggregators - real estate aggregators - ecommerce (anything from 1 website, to monitoring prices on 100k+ domains) - lead generation - search engines in a specific niche (SEO, pdf files, ecommerce, chemical retail) - macroeconomic research & indicators - social media, NFT marketplaces, etc So, most of the projects can be finished using these tools.

In Ask HN: What are the best tools for web scraping in 2022?

sharmi·Nov 14, 2017

If you are a programmer, scrapy[0] will be a good bet. It can handle robots.txt, request throttling by ip, request throttling by domain, proxies and all other common nitty-gritties of crawling. The only drawback is handling pure javascript sites. We have to manually dig into the api or add a headless browser invocation within the scrapy handler. Scrapy also has the ability to pause and restart crawls [1], run the crawlers distributed [2] etc. It is my goto option. [0] https://scrapy.org/ [1] https://doc.scrapy.org/en/latest/topics/jobs.html [2] https://github.com/rmax/scrapy-redis

In Ask HN: What are best tools for web scraping?

kmike84·Jun 17, 2014

I'm not sure how would you design a library for event-loop based website navigation when an event loop is explicit. Scrapy (which is a wrapper over Twisted) is already quite close to this IMHO. You can plug anything to the same event loop if needed (think twisted web services, etc). You can parallelize synchronous mechanize/requests scripts via celery, but it is less efficient in terms of resource usage if the bottleneck is I/O; also, it has larger fixed costs per each task. N Scrapy processes, each processing 1/N of total urls is an easy enough way to distribute load; if that is not enough then a shared queue like https://github.com/darkrho/scrapy-redis is also an option. I think it is not "scrapy" way of doing things that causes the problems, it is an inherent complexity of concurrency; you either give up some concurrency or build your

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solution around it.

In Finding the best ticket price – Simple web scraping with Python

mdaniel·Mar 11, 2014

http://scrapy.org/ is more systemic than these ad-hoc solutions, and http://scrapyd.readthedocs.org/en/latest/ is the daemon into which one can deploy scrapers if you want a little more structure. The plugin architecture alone makes Scapy a hands-down winner over whatever you might dream up on your own. And with any good plugin architecture, it ships with several optional toys, you can always add your own, and there is a pretty good community (e.g. https://github.com/darkrho/scrapy-redis) http://crawlera.com/ will start to enter into your discussion unless you have a low-volume crawler, and http://scrapinghub.com/ are the folks behind Crawlera and (AFAIK) sponsor (or actually do) the development for Scrapy.

In Python web scraping