scrapy-spiders | python scripts I have created to crawl various websites | Crawler library
kandi X-RAY | scrapy-spiders Summary
kandi X-RAY | scrapy-spiders Summary
This repo is examples of webcrawlers built using the Scrapy python framework. For more details about Scrapy..
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Top functions reviewed by kandi - BETA
- Parses the catalog .
- Parse BeautifulSoup .
- Extract the number of links from the response .
- Parse the response from the production hub .
- Parse torrent response .
- Parse count page .
- Return an item .
scrapy-spiders Key Features
scrapy-spiders Examples and Code Snippets
Community Discussions
Trending Discussions on scrapy-spiders
QUESTION
Total noob just getting started with scrapy.
In my directory structure I have like this...
...ANSWER
Answered 2021-Jan-15 at 08:21You can implement this using custom_settings
spider attribute to set settings individually per spider
QUESTION
So I have been using selenium to make my scraping. BUT I want to change all the code to Scrapy. The only thing I'm no sure about is that I'm using multiprocessing (python library) to speed up my process. I have researched a lot but I quite don't get it. I have found: Multiprocessing of Scrapy Spiders in Parallel Processes but it doesn't help me because it says that it can be done with Twisted but I haven't found an example yet.
In other forums it says that Scrapy can work with multiprocessing.
Last thing, in scrapy the option CONCURRENT_REQUESTS
(settings) has some connection with multiprocessing?
ANSWER
Answered 2018-Dec-11 at 22:38The recommended way for working with scrapy is to NOT use multiprocessing inside the running spiders.
The better alternative would be to invoke several scrapy jobs with the respective separated inputs.
Scrapy jobs themselves are very fast IMO, of course, you can always go faster, special settings as you mentioned CONCURRENT_REQUESTS
, CONCURRENT_REQUESTS_PER_DOMAIN
, DOWNLOAD_DELAY
, etc. But this is basically because scrapy is asynchronous, meaning it won't wait for the requests to be completed to schedule and continue working on the remaining tasks (scheduling more requests, parsing responses, etc.)
The CONCURRENT_REQUESTS
doesn't have a connection with multiprocessing. It is mostly a way to "limit" the speed of how many requests could be scheduled, because of being asynchronous.
QUESTION
Scrapy 1.4
I am using this script (Run multiple scrapy spiders at once using scrapyd) to schedule multiple spiders at Scrapyd. Before I was using Scrapy 0.19 and was running fine.
I am receiving the error: TypeError: create_crawler() takes exactly 2 arguments (1 given)
So now I dont know if the problem is in Scrapy version or a simple python logical problem (I am new with python)
I did some modifications to check before if the spider is active on the database.
...ANSWER
Answered 2018-Jan-28 at 00:28Based on parik suggested link, here's what I did:
QUESTION
I'm trying to build a system to run a few dozen Scrapy spiders, save the results to S3, and let me know when it finishes. There are several similar questions on StackOverflow (e.g. this one and this other one), but they all seem to use the same recommendation (from the Scrapy docs): set up a CrawlerProcess
, add the spiders to it, and hit start()
.
When I tried this method with all 325 of my spiders, though, it eventually locks up and fails because it attempts to open too many file descriptors on the system that runs it. I've tried a few things that haven't worked.
What is the recommended way to run a large number of spiders with Scrapy?
Edited to add: I understand I can scale up to multiple machines and pay for services to help coordinate (e.g. ScrapingHub), but I'd prefer to run this on one machine using some sort of process pool + queue so that only a small fixed number of spiders are ever running at the same time.
...ANSWER
Answered 2018-Jan-04 at 04:18it eventually locks up and fails because it attempts to open too many file descriptors on the system that runs it
That's probably a sign that you need multiple machines to execute your spiders. A scalability issue. Well, you can also scale vertically to make your single machine more powerful but that would hit a "limit" much faster:
Check out the Distributed Crawling documentation and the scrapyd
project.
There is also a cloud-based distributed crawling service called ScrapingHub which would take away the scalability problems from you altogether (note that I am not advertising them as I have no affiliation to the company).
QUESTION
I'm trying to create a function that takes care of a recurring task in multiple spiders. It involves yielding a request that seems to break it. This question is a follow-up from this question.
...ANSWER
Answered 2017-Oct-31 at 11:16I think you need something like this:
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