Spider | Python website crawler | Crawler library
kandi X-RAY | Spider Summary
kandi X-RAY | Spider Summary
This is an open source, multi-threaded website crawler written in Python. There is still a lot of work to do, so feel free to help out with development. Note: This is part of an open source search engine. The purpose of this tool is to gather links only. The analytics, data harvesting, and search algorithms are being created as separate programs.
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Top functions reviewed by kandi - BETA
- Run crawler
- Gather all the links from a URL
- Crawl crawler
- Add URLs to queue
- Get the domain name from a URL
- Return the sub domain name of a given URL
- Write a list of links to a file
- Updates the queue and crawled files
- List of page links
- Bootstrap the spider
- Create data files
- Convert a file to set
- Create project directory
- Write data to file
- Create worker threads
- Return the sub domain name of the given URL
- Crawl and create jobs
- Creates new jobs
Spider Key Features
Spider Examples and Code Snippets
Lines of Code : 7License : Permissive (MIT License)
Copydef process_spider_exception(response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Response, def process_spider_output(response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in resu def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s Community Discussions
Trending Discussions on Spider
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 divsection 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 have an app that store data of multiple users in stormdb for example
User A Login and send some requests and i will log it in his table And User B Login and send some requests and i will log it in his table
the issue in here when both send requests the database log user request one for all users
code example
...ANSWER
Answered 2022-Jan-13 at 18:02There is an Global variable in your code that works same thing for all users , you need to remove that global variable .
QUESTION
Hello I am a new coder but I am having troubles trying to add a new user (req) to a json file of users I have for a fake bank. I'm more confused on the type of object these are and how to access them from data. I would appreciate any words of advice. Currently I can only add the new account in, but it replaces the other users in the file. So now I'm trying to add the old users and the new users before I import but I am unsure how. My main area on confusion is how to access and manipulate the "data" from fs.readfile
...ANSWER
Answered 2021-Dec-28 at 01:01This is the key problem:
QUESTION
I borrowed the R code from the link and produced the following graph:
Using the same idea, I tried with my data as follows:
...ANSWER
Answered 2021-Dec-27 at 22:55You can do calculations within a function for the x and y values to construct the ggplot which extends the circle all the way round and gives labels correct heights.
I've adapted a function to work with other datasets. This takes a dataset in a tidy format, with:
- a 'year' column
- one row per 'event'
- a grouping variable (such as country)
I've used Nobel laurate data from here as an example dataset to show the function in practice. Data setup:
QUESTION
Example of book that I want to delete from the books_library (depends on the book name (input)):
{'Books': [{"Book's ID": {'001'}, "Book's Name": {'Avengers'}, "Book's Authors": {'Stan Lee'}, "Book's Published year": {'1938'}, "Book's Type": {'1'}, "Book's Copies": {'10'}}, {"Book's ID": {'002'}, "Book's Name": {'Spider Man'}, "Book's Authors": {'Stan Lee'}, "Book's Published year": {'1948'}, "Book's Type": {'2'}, "Book's Copies": {'15'}}]}
...The function i'm using:
ANSWER
Answered 2021-Dec-22 at 22:49Try to replace:
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:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Spider
You can use Spider 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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