Automatic Scraping of dataset options #9
@@ -17,7 +17,6 @@ class BaseConnector(ABC):
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def get_new_posts_by_search(self,
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search: str = None,
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category: str = None,
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post_limit: int = 10,
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comment_limit: int = 10
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post_limit: int = 10
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) -> list[Post]:
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...
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@@ -25,22 +25,29 @@ class BoardsAPI(BaseConnector):
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def get_new_posts_by_search(self,
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search: str,
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category: str,
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post_limit: int,
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comment_limit: int
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post_limit: int
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) -> list[Post]:
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if search:
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raise NotImplementedError("Search not compatible with boards.ie")
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if category:
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return self._get_posts(f"{self.url}/categories/{category}", post_limit)
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else:
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return self._get_posts(f"{self.url}/discussions", post_limit)
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## Private
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def _get_posts(self, url, limit) -> list[Post]:
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urls = []
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current_page = 1
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logger.info(f"Fetching posts from category: {category}")
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while len(urls) < post_limit:
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url = f"{self.url}/categories/{category}/p{current_page}"
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while len(urls) < limit:
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url = f"{self.url}/p{current_page}"
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html = self._fetch_page(url)
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soup = BeautifulSoup(html, "html.parser")
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logger.debug(f"Processing page {current_page} for category {category}")
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logger.debug(f"Processing page {current_page} for link: {url}")
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for a in soup.select("a.threadbit-threadlink"):
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if len(urls) >= post_limit:
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if len(urls) >= limit:
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break
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href = a.get("href")
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@@ -49,14 +56,14 @@ class BoardsAPI(BaseConnector):
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current_page += 1
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logger.debug(f"Fetched {len(urls)} post URLs from category {category}")
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logger.debug(f"Fetched {len(urls)} post URLs")
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# Fetch post details for each URL and create Post objects
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posts = []
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def fetch_and_parse(post_url):
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html = self._fetch_page(post_url)
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post = self._parse_thread(html, post_url, comment_limit)
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post = self._parse_thread(html, post_url)
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return post
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with ThreadPoolExecutor(max_workers=30) as executor:
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@@ -79,7 +86,7 @@ class BoardsAPI(BaseConnector):
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response.raise_for_status()
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return response.text
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def _parse_thread(self, html: str, post_url: str, comment_limit: int) -> Post:
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def _parse_thread(self, html: str, post_url: str) -> Post:
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soup = BeautifulSoup(html, "html.parser")
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# Author
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@@ -108,7 +115,7 @@ class BoardsAPI(BaseConnector):
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title = title_tag.text.strip() if title_tag else None
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# Comments
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comments = self._parse_comments(post_url, post_num, comment_limit)
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comments = self._parse_comments(post_url, post_num)
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post = Post(
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id=post_num,
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@@ -123,11 +130,11 @@ class BoardsAPI(BaseConnector):
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return post
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def _parse_comments(self, url: str, post_id: str, comment_limit: int) -> list[Comment]:
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def _parse_comments(self, url: str, post_id: str) -> list[Comment]:
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comments = []
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current_url = url
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while current_url and len(comments) < comment_limit:
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while current_url:
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html = self._fetch_page(current_url)
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page_comments = self._parse_page_comments(html, post_id)
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comments.extend(page_comments)
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@@ -20,39 +20,44 @@ class RedditAPI(BaseConnector):
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def get_new_posts_by_search(self,
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search: str,
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category: str,
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post_limit: int,
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comment_limit: int
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post_limit: int
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) -> list[Post]:
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if not search:
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return self._get_new_subreddit_posts(category, limit=post_limit)
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prefix = f"r/{category}/" if category else ""
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params = {'limit': post_limit}
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params = {
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if search:
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endpoint = f"{prefix}search.json"
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params.update({
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'q': search,
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'limit': post_limit,
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'restrict_sr': 'on',
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'sort': 'new'
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}
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'sort': 'new',
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'restrict_sr': 'on' if category else 'off'
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})
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else:
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endpoint = f"{prefix}new.json"
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logger.info(f"Searching subreddit '{category}' for '{search}' with limit {post_limit}")
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url = f"r/{category}/search.json"
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posts = []
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after = None
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while len(posts) < post_limit:
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batch_limit = min(100, post_limit - len(posts))
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params['limit'] = batch_limit
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if after:
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params['after'] = after
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data = self._fetch_post_overviews(url, params)
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batch_posts = self._parse_posts(data)
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data = self._fetch_post_overviews(endpoint, params)
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logger.debug(f"Fetched {len(batch_posts)} posts from search in subreddit {category}")
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if not batch_posts:
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if not data or 'data' not in data or not data['data'].get('children'):
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break
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batch_posts = self._parse_posts(data)
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posts.extend(batch_posts)
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return posts
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after = data['data'].get('after')
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if not after:
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break
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return posts[:post_limit]
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def _get_new_subreddit_posts(self, subreddit: str, limit: int = 10) -> list[Post]:
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posts = []
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@@ -46,8 +46,7 @@ def fetch_and_process_dataset(self,
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raw_posts = connector.get_new_posts_by_search(
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search=search,
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category=category,
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post_limit=limit,
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comment_limit=limit
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post_limit=limit
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)
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posts.extend(post.to_dict() for post in raw_posts)
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