This code defines a web scraping class `SomeScraper` that inherits...
August 31, 2025 at 01:44 AM
This code defines a web scraping class SomeScraper
that inherits from scrapy.Spider
. The objective of the scraper appears to be collecting nested data (topics, questions within those topics, and replies to those questions) from a website. Here's what each section of the code does, breaking it down:
1. Output List Storage
output_list = []
- The
output_list
class attribute is used to store the results of the scraping. It eventually contains a structured hierarchy of topics, questions under those topics, and replies to those questions.
2. Parsing Topics (parse
method)
def parse(self, response):
topic = data
topic_link = data
self.output_list.append({"topic" : topic, "topic_url" : topic_link, "questions" : []})
yield response.follow(topic_link, self.parse_questions)
yield self.output_list
- This function handles the parsing of a webpage containing "topics".
topic
andtopic_link
are placeholders (not defined in the provided code) and are expected to extract the topic's name and URL respectively from theresponse
.- The topic's information is appended to
output_list
as a dictionary with an empty"questions"
list. - The scraper then follows the
topic_link
URL to fetch the topic's details by callingself.parse_questions
. - The method also yields the
output_list
(returning it as structured data).
3. Parsing Questions (parse_questions
method)
def parse_questions(self, response):
questions = data
for question in questions:
title = data
title_link = data
self.output_list[0]["questions"].append({"title" : title, "title_link" : title_link, "replies" : []})
yield response.follow(title_link, self.parse_replies)
- This function handles parsing the questions on a topic's page:
- The
questions
variable (another placeholder) is expected to be a list of questions extracted from theresponse
. - For each question, it extracts the title and title_link (both placeholders).
- Appends the question's details (including an empty
"replies"
list) to the lasttopic
inself.output_list
.
- The
- The scraper follows the
title_link
(question URL) to fetch replies by callingself.parse_replies
.
4. Parsing Replies (parse_replies
method)
def parse_replies(self, response):
replies = data
for reply in replies:
author = data
post = data
post = self.post_clearing(post)
self.output_list[0]["questions"][-1]["replies"].append({"author" : author, "reply" : reply })
if next_page:
url = response.url.rsplit(".", 1)[0] + '.' + str(self.reply_page * 10)
response.follow(url, callback=self.parse_replies)
- This function parses replies on a question's page:
- It processes a list of
replies
extracted from theresponse
. - For each reply:
- Extracts the author and post (both placeholders).
- Cleans the
post
content using thepost_clearing
method (not defined in this code). - Appends each reply to the last question in
output_list
.
- It processes a list of
- If a
next_page
exists (undefined here), it calculates the URL for the next page and continues parsing replies recursively by callingself.parse_replies
.
5. Issues with the Code
- Placeholder Variables: The code uses
data
,next_page
, andself.reply_page
, which are not defined or implemented. post_clearing
Function: The methodself.post_clearing
is assumed to handle some text cleaning but its implementation is missing.- Output Management: Scrapy's architecture does not recommend storing data like this (
output_list
) since it can lead to stateful issues. It's better to yield individual items progressively. - Response Handling for
next_page
: Thenext_page
condition is incomplete and lacks proper checks.
Summary of Functionality:
This code outlines a scraper that:
- Scrapes topics (name and URL).
- For each topic, scrapes its questions (title and URL).
- For each question, scrapes its replies (author and content).
- Attempts to handle pagination for replies.
However, due to the use of many undefined placeholders and missing details, the code will not work as is without completing or fixing these parts.
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