This code defines a web scraping class `SomeScraper` that inherits...

August 31, 2025 at 01:44 AM

class SomeScraper(scrapy.Spider): output_list = [] 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 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) 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 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 and topic_link are placeholders (not defined in the provided code) and are expected to extract the topic's name and URL respectively from the response.
  • 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 calling self.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 the response.
    • For each question, it extracts the title and title_link (both placeholders).
    • Appends the question's details (including an empty "replies" list) to the last topic in self.output_list.
  • The scraper follows the title_link (question URL) to fetch replies by calling self.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 the response.
    • For each reply:
      • Extracts the author and post (both placeholders).
      • Cleans the post content using the post_clearing method (not defined in this code).
      • Appends each reply to the last question in output_list.
  • If a next_page exists (undefined here), it calculates the URL for the next page and continues parsing replies recursively by calling self.parse_replies.

5. Issues with the Code

  • Placeholder Variables: The code uses data, next_page, and self.reply_page, which are not defined or implemented.
  • post_clearing Function: The method self.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: The next_page condition is incomplete and lacks proper checks.

Summary of Functionality:

This code outlines a scraper that:

  1. Scrapes topics (name and URL).
  2. For each topic, scrapes its questions (title and URL).
  3. For each question, scrapes its replies (author and content).
  4. 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.

Generate your own explanations
Download our vscode extension
Read other generated explanations

Built by @thebuilderjr
Sponsored by beam analytics
Read our terms and privacy policy
Forked from openai-quickstart-node