scrapy | fast high-level web crawling | Crawler library
kandi X-RAY | scrapy Summary
kandi X-RAY | scrapy Summary
Scrapy, a fast high-level web crawling & scraping framework for Python.
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Top functions reviewed by kandi - BETA
- Called when the response is ready
- Return a list of values
- Creates headers from a twisted response
- Update the values in seq
- Create a deprecated class
- Return the path to the class
- Check if the given subclass is a subclass of the subclass
- Recursively follow requests
- Parse a selector
- Execute scrapy
- Handle data received from the crawler
- Create a subclass of ScrapyRequestQueue
- Called when an item processor is dropped
- Download robots txt file
- Log download errors
- Callback function for verifying SSL connection
- Start the crawler
- Follow given URLs
- Return media to download
- Return whether a cached response is fresh
- Runs text tests
- Follow a URL
- Returns a list of request headers
- Called when the request is downloaded
- Call download function
- Configure logging
scrapy Key Features
scrapy Examples and Code Snippets
import scrapy
from scrapy.crawler import CrawlerProcess
class MmSpider(scrapy.Spider):
name = 'name'
start_urls = ['https://www.timeout.com/film/best-movies-of-all-time']
def parse(self, response):
for title in respons
scrapy crawl myspider -a parameter1=value1 -a parameter2=value2
class MySpider(Spider):
name = 'myspider'
...
def parse(self, response):
...
if self.parameter1 == value1:
# t
request.setRequestHeader("Authorization", "Basic "+btoa("apiInfoelectoral:apiInfoelectoralPro"));
names_to_search = []
def get_names_to_search():
# open file to read
file = open ("cegek.txt", "r")
# read lines in file
lines = file.readlines()
# loop through file and append names to list
for line in lines:
from multiprocessing import Process
from scrapy.crawler import CrawlerRunner
from scrapy.utils.project import get_project_settings
from scrapy.utils.log import configure_logging
from apscheduler.schedulers.blocking import BlockingSchedule
from scrapy.crawler import CrawlerRunner
from scrapy.utils.project import get_project_settings
from scrapy.utils.log import configure_logging
from twisted.internet import reactor
from apscheduler.schedulers.twisted import TwistedScheduler
from ast import parse
from fileinput import filename
import scrapy
from scrapy.crawler import CrawlerProcess
class PostsSpider(scrapy.Spider):
name = "posts"
start_urls= ['https://publicholidays.com.bd/2022-dates']
def p
Community Discussions
Trending Discussions on scrapy
QUESTION
I'm using Scrapy and I'm having some problems while loop through a link.
I'm scraping the majority of information from one single page except one which points to another page.
There are 10 articles on each page. For each article I have to get the abstract which is on a second page. The correspondence between articles and abstracts is 1:1.
Here the div
section I'm using to scrape the data:
ANSWER
Answered 2022-Mar-01 at 19:43The link to the article abstract appears to be a relative link (from the exception). /doi/abs/10.1080/03066150.2021.1956473
doesn't start with https://
or http://
.
You should append this relative URL to the base URL of the website (i.e. if the base URL is "https://www.tandfonline.com"
, you can
QUESTION
I have a problem with a Scrapy Python program I'm trying to build. The code is the following.
...ANSWER
Answered 2022-Feb-24 at 02:49You have two issues with your code. First, you have two Rules
in your crawl spider and you have included the deny restriction in the second rule which never gets checked because the first Rule follows all links and then calls the callback. Therefore the first rule is checked first and therefore it does not exclude the urls you don't want to crawl. Second issue is that in your second rule, you have included the literal string of what you want to avoid scraping but deny
expects regular expressions.
Solution is to remove the first rule and slightly change the deny
argument by escaping special regex characters in the url such as -
. See below sample.
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'm trying to create a simple Scrapy function which will loop through a set of standard URLs and pull their Alexa Rank. The output I want is just two columns: One showing the scraped Alexa Rank, and one showing the URL which was scraped.
Everything seems to be working except that I cannot get the scraped URL to display correctly in my output. My code currently is:
...ANSWER
Answered 2021-Dec-22 at 07:59Here zip()
takes 'rank' which is a list and 'url_raw' which is a string so you get a character from 'url_raw' for each iteration.
Solution with cycle:
QUESTION
In my scrapy code I'm trying to yield the following figures from parliament's website where all the members of parliament (MPs) are listed. Opening the links for each MP, I'm making parallel requests to get the figures I'm trying to count. I'm intending to yield each three figures below in the company of the name and the party of the MP
Here are the figures I'm trying to scrape
- How many bill proposals that each MP has their signature on
- How many question proposals that each MP has their signature on
- How many times that each MP spoke on the parliament
In order to count and yield out how many bills has each member of parliament has their signature on, I'm trying to write a scraper on the members of parliament which works with 3 layers:
- Starting with the link where all MPs are listed
- From (1) accessing the individual page of each MP where the three information defined above is displayed
- 3a) Requesting the page with bill proposals and counting the number of them by len function 3b) Requesting the page with question proposals and counting the number of them by len function 3c) Requesting the page with speeches and counting the number of them by len function
What I want: I want to yield the inquiries of 3a,3b,3c with the name and the party of the MP in the same raw
Problem 1) When I get an output to csv it only creates fields of speech count, name, part. It doesn't show me the fields of bill proposals and question proposals
Problem 2) There are two empty values for each MP, which I guess corresponds to the values I described above at Problem1
Problem 3) What is the better way of restructuring my code to output the three values in the same line, rather than printing each MP three times for each value that I'm scraping
ANSWER
Answered 2021-Dec-18 at 06:26This is happening because you are yielding dicts instead of item objects, so spider engine will not have a guide of fields you want to have as default.
In order to make the csv output fields bill_prop_count
and res_prop_count
, you should make the following changes in your code:
1 - Create a base item object with all desirable fields - you can create this in the items.py
file of your scrapy project:
QUESTION
I'm trying to scrape each content in Istanbul Governorate's announcement section located at the link below, which loads content with a 'Load More' at the bottom of the page. From dev tools / Network, I checked properties of the POST request sent and updated the header accordingly. The response apparently is not json but an html code.
I would like to yield the parsed html responses but when I crawl it, it just doesn't return anything and stuck with the first request forever. Thank you in advance.
Could you explain me what's wrong with my code? I checked tens of questions here but couldn't resolve the issue. As I understand, it just can't parse the response html but I couldn't figure out why.
ps: I have been enthusiastically into Python and scraping for 20 days. Forgive my ignorance.
...ANSWER
Answered 2021-Dec-12 at 09:10Remove
Content-Length
, also never include it in the headers. Also you should remove the cookie and let scrapy handle it.You need to know when to stop, in this case it's an empty page.
in the
bilgi.xpath
part you're getting the same line over and over because you forgot a dot at the beginning.
The complete working code:
QUESTION
When i try to execute this loop i got error please help i wanted to scrape multiple links using csv file but is stucks in start_urls i am using scrapy 2.5 and python 3.9.7
...ANSWER
Answered 2021-Nov-09 at 17:07The error you received is rather straightforward; a numpy array doesn't have a to_list
method.
Instead you should simply iterate over the numpy array:
QUESTION
The parent url got multiple nodes (quotes), each parent node got child url (author info). I am facing trouble linking the quote to author info, due to asynchronous nature of scrapy?
How can I fix this issue, here's the code so far. Added # <---
comment for easy spot.
ANSWER
Answered 2021-Nov-22 at 13:09Here is the minimal working solution. Both type of pagination is working and I use meta keyword to transfer quote item from one response to another.
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
-s
parameter to update setting
scrapy crawl test -s DOWNLOAD_DELAY=5
It is not possible to update settings during runtime in spider code from
init
or other methods (details in related discussion on github Update spider settings during runtime #4196
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install scrapy
You can use scrapy 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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