pyspider | A Powerful Spider System in Python | Crawler library
kandi X-RAY | pyspider Summary
kandi X-RAY | pyspider Summary
pyspider [Build Status]][Travis CI] [Coverage Status]][Coverage].
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Top functions reviewed by kandi - BETA
- Run xmlrpc
- Run all components
- Queue a task
- Show all projects
- Run a given project
- Raise HTTPError
- Rebuilds a response object
- Benchmark a task
- Connect to an RPC server
- Get fetcher
- Start the scheduler
- Start the xmlrpc server
- Run task
- Put a task into the queue
- Update a project
- Return the counts of all tasks in the given project
- Initialize web UI
- Dump the results to CSV
- Run one test
- Check if we are running in interactive mode
- Connect to database
- Create a test task
- Update project
- Start the web server
- Format a date
- Benchmark message queue
pyspider Key Features
pyspider Examples and Code Snippets
Lines of Code : 57License : Permissive (Apache-2.0)
Copy# mysql
docker run --name mysql -d -v /data/mysql:/var/lib/mysql -e MYSQL_ALLOW_EMPTY_PASSWORD=yes mysql:latest
# rabbitmq
docker run --name rabbitmq -d rabbitmq:latest
# phantomjs
docker run --name phantomjs -d binux/pyspider:latest phantomjs
# re 
License : No LicenseCopy安装python2.7并且配置环境变量。同时安装pycharm，配置interpretor，安装pip。
这里会各种报错，主要是中文目录以及pip版本导致的错误，需要修改各种配置文件以支持gbk编码。详情略。
安装好以后，我们先熟悉一下python的语法，写一些例子，比如数据类型，操作符，方法调用，以及面向对象的技术。
因为数据是要导入数据库的，所以这里安装MySQLdb的一个库，并且写一下连接数据库的代码，写一下简单的crud进行测试。
使用requests库作为解析http请求的工具 from pyspider.libs.base_handler import *
class Handler(BaseHandler):
crawl_config = {
}
@every(minutes=24 * 60)
def on_start(self):
self.crawl('http://scrapy.org/', callback=self.index_page)
@config(age=10 * 24 * 60 * BeautifulSoup(markup, )
apt install libcurl4 libcurl4-openssl-dev
'.team.position::text'
import httplib
httplib._is_legal_header_name = re.compile(r':|\A[^:\s][^:\r\n]*\Z').match
Community Discussions
Trending Discussions on Crawler
QUESTION
When you're using the app through the browser, you send a bad value, the system checks for errors in the form, and if something goes wrong (it does in this case), it redirects with a default error message written below the incriminated field.
This is the behaviour I am trying to assert with my test case, but I came accross an \InvalidArgumentException I was not expecting.
I am using the symfony/phpunit-bridge with phpunit/phpunit v8.5.23 and symfony/dom-crawler v5.3.7. Here's a sample of what it looks like :
...ANSWER
Answered 2022-Apr-05 at 11:17It seems that you can disable validation on the DomCrawler\Form component. Based on the official documentation here.
So doing this, now works as expected :
QUESTION
I want to set proxies to my crawler. I'm using requests module and Beautiful Soup. I have found a list of API links that provide free proxies with 4 types of protocols.
All proxies with 3/4 protocols work (HTTP, SOCKS4, SOCKS5) except one, and thats proxies with HTTPS protocol. This is my code:
...ANSWER
Answered 2021-Sep-17 at 16:08I did some research on the topic and now I'm confused why you want a proxy for HTTPS.
While it is understandable to want a proxy for HTTP, (HTTP is unencrypted) HTTPS is secure.
Could it be possible your proxy is not connecting because you don't need one?
I am not a proxy expert, so I apologize if I'm putting out something completely stupid.
I don't want to leave you completely empty-handed though. If you are looking for complete privacy, I would suggest a VPN. Both Windscribe and RiseUpVPN are free and encrypt all your data on your computer. (The desktop version, not the browser extension.)
While this is not a fully automated process, it is still very effective.
QUESTION
I have successfully run crawlers that read my table in Dynamodb and also in AWS Reshift. The tables are now in the catalog. My problem is when running the Glue job to read the data from Dynamodb to Redshift. It doesnt seem to be able to read from Dynamodb. The error logs contain this
...ANSWER
Answered 2022-Feb-07 at 10:49It seems that you were missing a VPC Endpoint for DynamoDB, since your Glue Jobs run in a private VPC when you write to Redshift.
QUESTION
I have the following scrapy CrawlSpider:
ANSWER
Answered 2022-Jan-22 at 16:39Taking a stab at an answer here with no experience of the libraries.
It looks like Scrapy Crawlers themselves are single-threaded. To get multi-threaded behavior you need to configure your application differently or write code that makes it behave mulit-threaded. It sounds like you've already tried this so this is probably not news to you but make sure you have configured the CONCURRENT_REQUESTS and REACTOR_THREADPOOL_MAXSIZE.
https://docs.scrapy.org/en/latest/topics/settings.html?highlight=thread#reactor-threadpool-maxsize
I can't imagine there is much CPU work going on in the crawling process so i doubt it's a GIL issue.
Excluding GIL as an option there are two possibilities here:
- Your crawler is not actually multi-threaded. This may be because you are missing some setup or configuration that would make it so. i.e. You may have set the env variables correctly but your crawler is written in a way that is processing requests for urls synchronously instead of submitting them to a queue.
To test this, create a global object and store a counter on it. Each time your crawler starts a request increment the counter. Each time your crawler finishes a request, decrement the counter. Then run a thread that prints the counter every second. If your counter value is always 1, then you are still running synchronously.
QUESTION
I am working on certain stock-related projects where I have had a task to scrape all data on a daily basis for the last 5 years. i.e from 2016 to date. I particularly thought of using selenium because I can use crawler and bot to scrape the data based on the date. So I used the use of button click with selenium and now I want the same data that is displayed by the selenium browser to be fed by scrappy. This is the website I am working on right now. I have written the following code inside scrappy spider.
...ANSWER
Answered 2022-Jan-14 at 09:30The 2 solutions are not very different. Solution #2 fits better to your question, but choose whatever you prefer.
Solution 1 - create a response with the html's body from the driver and scraping it right away (you can also pass it as an argument to a function):
QUESTION
I am trying to change setting from command line while starting a scrapy crawler (Python 3.7). Therefore I am adding a init method, but I could not figure out how to change the class varible "delay" from within the init method.
Example minimal:
...ANSWER
Answered 2021-Nov-08 at 20:06I am trying to change setting from command line while starting a scrapy crawler (Python 3.7). Therefore I am adding a init method...
...
scrapy crawl test -a delay=5
According to scrapy docs. (Settings/Command line options section) it is requred to use
-sparameter to update setting
scrapy crawl test -s DOWNLOAD_DELAY=5It is not possible to update settings during runtime in spider code from
initor other methods (details in related discussion on github Update spider settings during runtime #4196
QUESTION
I'm currently trying to run headless chrome with selenium on m1 mac host / amd64 ubuntu container.
Because arm ubuntu does not support google-chrome-stable package, I decided to use amd64 ubuntu base image.
But it does not work. getting some error.
...ANSWER
Answered 2021-Nov-01 at 05:10I think that there's no way to use chrome/chromium on m1 docker.
- no binary for chrome arm64 linux
- when running chrome on amd64 container with m1 host crashes - docker docs
- chromium could be installed using snap, but snap service not running on docker (without snap, having 127 error because binary from apt is empty) - issue report
Chromium supports arm ubuntu; I tried using chromium instead of chrome.
But chromedriver officially does not support arm64; I used unofficial binary on electron release. https://stackoverflow.com/a/57586200/11853111
BypassingFinally, I've decided to use gechodriver and firefox while using docker.
It seamlessly works regardless of host/container architecture.
QUESTION
I have the following shell script:
...ANSWER
Answered 2021-Oct-27 at 02:58Use a here-document
QUESTION
unfortunately I currently have a problem with Scrapy. I am still new to Scrapy and would like to scrap information on Rolex watches. I started with the site Watch.de, where I first go through the Rolex site and want to open the individual watches to get the exact information. However, when I start the crawler I see that many watches are crawled several times. I assume that these are the watches from the "Recently viewed" and "Our new arrivals" points. Is there a way to ignore these duplicates?
that's my code
...ANSWER
Answered 2021-Oct-26 at 12:50This works,
QUESTION
I have new to AWS Glue. I am using AWS Glue Crawler to crawl data from two S3 buckets. I have one file in each bucket. AWS Glue Crawler creates two tables in AWS Glue Data Catalog and I am also able to query the data in AWS Athena.
My understanding was in order to get data in Athena I need to create Glue job and that will pull the data in Athena but I was wrong. Is it correct to say that Glue crawler places data in Athena without the need of Glue job and if we need to push our data in DB like SQL , Oracle etc. then we need to Glue Job ?
How I can configure the Glue Crawler that it fetches only the delta data and not all data all the time from the source bucket ?
Any help is appreciated ?
...ANSWER
Answered 2021-Oct-08 at 14:53The Glue crawler is only used to identify the schema that your data is in. Your data sits somewhere (e.g. S3) and the crawler identifies the schema by going through a percentage of your files.
You then can use a query engine like Athena (managed, serverless Apache Presto) to query the data, since it already has a schema.
If you want to process / clean / aggregate the data, you can use Glue Jobs, which is basically managed serverless Spark.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install pyspider
You can use pyspider like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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