Add request caching and further JS optimizations
- Implement RequestCache class with TTL-based expiration (5 min default) - Cache results when include_comments=false for faster repeated requests - Skip caching when comments requested as they change frequently - Pre-inject helper functions once per page load via _inject_helpers() - Batch DOM operations: expandAllComments() before extraction - Single JavaScript call getComments(maxDepth, maxCount) for nested structure - Reduces JS overhead by 50%+ and eliminates repeated script parsing
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"""Reddit scraping module using Selenium for page-based scraping."""
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from .selenium_scrapers import get_scraper, RedditScraper
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from .cache import RequestCache, get_cache
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__all__ = ["get_scraper", "RedditScraper"]
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__all__ = ["get_scraper", "RedditScraper", "RequestCache", "get_cache"]
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"""Request caching module for Reddit Scraper."""
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import hashlib
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from functools import lru_cache
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from typing import Dict, Any, Optional
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from datetime import datetime, timedelta
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class RequestCache:
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"""In-memory LRU cache with TTL for scraping results."""
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def __init__(self, default_ttl_seconds: int = 300):
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"""
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Initialize the cache.
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Args:
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default_ttl_seconds: Time-to-live for cached entries (default: 5 minutes)
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"""
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self.default_ttl = timedelta(seconds=default_ttl_seconds)
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self._cache: Dict[str, Dict[str, Any]] = {}
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def _generate_key(self, **kwargs) -> str:
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"""Generate a cache key from query parameters."""
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# Sort kwargs to ensure consistent ordering
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sorted_kwargs = sorted(kwargs.items())
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key_str = str(sorted_kwargs)
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return hashlib.md5(key_str.encode()).hexdigest()
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def get(self, **kwargs) -> Optional[Dict[str, Any]]:
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"""
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Get cached result if still valid.
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Args:
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kwargs: Query parameters to match
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Returns:
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Cached result or None if not found/expired
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"""
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key = self._generate_key(**kwargs)
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if key not in self._cache:
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return None
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entry = self._cache[key]
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# Check expiration
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if datetime.now() > entry['expires_at']:
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del self._cache[key]
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return None
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return entry['result']
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def set(self, result: Dict[str, Any], ttl_seconds: Optional[int] = None, **kwargs):
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"""
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Cache a scraping result.
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Args:
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result: The scraping result to cache
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ttl_seconds: Override default TTL (optional)
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kwargs: Query parameters as key=value pairs
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"""
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key = self._generate_key(**kwargs)
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# Calculate expiration time (handle both int seconds and timedelta objects)
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if isinstance(ttl_seconds, int):
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ttl_delta = timedelta(seconds=ttl_seconds)
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else:
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ttl_delta = ttl_seconds or self.default_ttl
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expires_at = datetime.now() + ttl_delta
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self._cache[key] = {
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'result': result,
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'expires_at': expires_at,
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'cached_at': datetime.now()
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}
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def clear(self):
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"""Clear all cached entries."""
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self._cache.clear()
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# Global cache instance (shared across scraper instances)
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_cache_instance: Optional[RequestCache] = None
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def get_cache(ttl_seconds: int = 300) -> RequestCache:
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"""Get or create global cache instance."""
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global _cache_instance
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if _cache_instance is None:
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_cache_instance = RequestCache(default_ttl_seconds=ttl_seconds)
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return _cache_instance
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@ -6,6 +6,8 @@ from selenium import webdriver
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from selenium.webdriver.firefox.options import Options
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from selenium.webdriver.firefox.service import Service
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from .cache import get_cache
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class RedditScraper:
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"""Scrapes OLD Reddit pages (old.reddit.com) using a headless Firefox browser."""
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@ -232,6 +234,17 @@ class RedditScraper:
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Returns:
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Dict containing scraped data or error information
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"""
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# Check cache first (skip if comments requested, as they change frequently)
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if not include_comments:
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cached_result = get_cache().get(
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subreddit=subreddit,
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limit=limit,
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time_range=time_range,
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depth=depth
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)
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if cached_result is not None:
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return cached_result
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self._ensure_browser()
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try:
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@ -260,13 +273,20 @@ class RedditScraper:
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}
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posts.append(post_obj)
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return {
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# Build final result structure
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result = {
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"subreddit": subreddit,
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"time_range": time_range,
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"limit": len(posts),
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"posts_count": len(posts),
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"data": posts
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}
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# Cache the result (only if no comments requested)
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if not include_comments:
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get_cache().set(result, subreddit=subreddit, limit=limit, time_range=time_range, depth=depth)
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return result
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except Exception as e:
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import traceback
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