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rmax
scrapy-redis
Python2014–2022
rmax / scrapy-redis

scrapy-redis

Redis-based components for Scrapy.

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

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:02:05 AM 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.

0122014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

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.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC202
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

2 sources
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
Read the rest
solution around it.
In Finding the best ticket price – Simple web scraping with Python
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

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