#!/usr/bin/env python3 """ scrape_reviews.py — Fetch the RocketReviews.com review index and scrape each detail page, saving structured JSON to source/reviews/. Output ------ source/reviews/index.jsonl one record per review (raw index fields) source/reviews/detail/{id}.json full parsed detail per review Usage ----- python scripts/scrape_reviews.py python scripts/scrape_reviews.py --delay 2.0 --limit 10 python scripts/scrape_reviews.py --force # re-scrape existing files """ from __future__ import annotations import argparse import json import logging import re import sys import time from datetime import datetime, timezone from pathlib import Path from typing import Optional import requests from bs4 import BeautifulSoup, NavigableString, Tag from requests.adapters import HTTPAdapter from urllib3.util.retry import Retry # --------------------------------------------------------------------------- # Config # --------------------------------------------------------------------------- BASE_URL = "https://www.rocketreviews.com" INDEX_URL = f"{BASE_URL}/data/reviews/reviews.php" USER_AGENT = "RocketReviews-Dataset/1.0" DEFAULT_DELAY = 1.0 # seconds between requests ROOT = Path(__file__).parent.parent.parent SOURCE_DIR = ROOT / "source" / "reviews" DETAIL_DIR = SOURCE_DIR / "detail" # --------------------------------------------------------------------------- # Logging # --------------------------------------------------------------------------- logging.basicConfig( level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s", handlers=[logging.StreamHandler(sys.stdout)], ) log = logging.getLogger(__name__) # --------------------------------------------------------------------------- # HTTP session # --------------------------------------------------------------------------- def _build_session() -> requests.Session: s = requests.Session() s.headers["User-Agent"] = USER_AGENT retry = Retry( total=3, backoff_factor=2.0, status_forcelist=[429, 500, 502, 503, 504], allowed_methods=["GET"], ) s.mount("https://", HTTPAdapter(max_retries=retry)) s.mount("http://", HTTPAdapter(max_retries=retry)) return s class RateLimiter: def __init__(self, delay: float) -> None: self.delay = delay self._last: float = 0.0 def wait(self) -> None: elapsed = time.monotonic() - self._last if elapsed < self.delay: time.sleep(self.delay - elapsed) self._last = time.monotonic() # --------------------------------------------------------------------------- # Parsing helpers # --------------------------------------------------------------------------- def _re_first(pattern: str, text: str, group: int = 1) -> Optional[str]: m = re.search(pattern, text) return m.group(group) if m else None def _parse_rating_block(soup: BeautifulSoup, label: str) -> Optional[int]: """ Find '{label} Rating:' and count filled Material Icons stars ('star') that follow it, excluding 'star_border' (empty stars). """ strong = soup.find("strong", string=re.compile(rf"^{label} Rating:?$", re.I)) if not strong: return None # Collect raw text from siblings until the next tag text = "" for sib in strong.next_siblings: if isinstance(sib, Tag) and sib.name == "strong": break text += sib.get_text() if isinstance(sib, Tag) else str(sib) # Count 'star' occurrences that are NOT 'star_border' filled = len(re.findall(r"\bstar\b(?!_border)", text)) return filled if filled else None def _parse_ratings(soup: BeautifulSoup) -> dict: return { "construction": _parse_rating_block(soup, "Construction"), "flight": _parse_rating_block(soup, "Flight"), "overall": _parse_rating_block(soup, "Overall"), } def _parse_product(soup: BeautifulSoup) -> dict: html = str(soup) # Diameter: /kit-index-diameter-13260.html → 13260 / 10000 = 1.3260 inches diameter_raw = _re_first(r"/kit-index-diameter-(\d+)\.html", html) diameter = int(diameter_raw) / 10000 if diameter_raw else None # Length: /kit-index-length-290000.html → 290000 / 10000 = 29.0000 inches length_raw = _re_first(r"/kit-index-length-(\d+)\.html", html) length = int(length_raw) / 10000 if length_raw else None # Skill level: /kit-index-skilllevel-1.html → 1 skill_raw = _re_first(r"/kit-index-skilllevel-(\d+)\.html", html) skill = int(skill_raw) if skill_raw else None # Style: /kit-index-style-{name}-{id}.html — one or more values styles = [ m.replace("-", " ").title() for m in re.findall(r"/kit-index-style-([a-z][a-z-]*)-\d+\.html", html) ] # Price: first dollar amount mentioned in the page text price_raw = _re_first(r"\$\s*(\d+(?:\.\d{1,2})?)", soup.get_text()) price = float(price_raw) if price_raw else None return { "diameter_in": diameter, "length_in": length, "skill_level": skill, "style": styles, "price_usd": price, } # Section headings that contain grids/tables rather than review text _SKIP_SECTION_RE = re.compile( r"^\s*(flights?|.*reviews?|what you can do|sign in|create account)\s*$", re.I, ) def _parse_sections(soup: BeautifulSoup) -> dict[str, str]: """ Walk all h2/h4 headings and collect the plain text that follows each one until the next heading of the same or higher level. Skips headings that correspond to data grids (flight logs, related reviews). """ sections: dict[str, str] = {} for heading in soup.find_all(["h2", "h4"]): title = heading.get_text(strip=True) if not title or _SKIP_SECTION_RE.match(title): continue parts: list[str] = [] for sib in heading.next_siblings: if isinstance(sib, Tag) and sib.name in ("h2", "h4"): break if isinstance(sib, Tag): text = sib.get_text(separator=" ", strip=True) elif isinstance(sib, NavigableString): text = str(sib).strip() else: continue if text: parts.append(text) content = " ".join(parts).strip() if content: sections[title] = content return sections def _parse_detail(html: str, index_rec: dict) -> dict: soup = BeautifulSoup(html, "lxml") # Canonical URL from any /review-{N}.html href in the page canonical_path = _re_first(r'href=["\']?(/review-\d+\.html)', html) canonical_url = f"{BASE_URL}{canonical_path}" if canonical_path else None # Alias URL — slug URL from the index alias_path = index_rec.get("url", "") url_alias = f"{BASE_URL}{alias_path}" if alias_path else None # Kit URL constructed from the Kit_ID in the JS data source # e.g. data/flightlog/flights.php?column=Kit_ID&value=7163 kit_id_raw = _re_first(r"Kit_ID&value=(-?\d+)", html) kit_id_int = int(kit_id_raw) if kit_id_raw else None kit_url = f"{BASE_URL}/product-{kit_id_int}.html" if kit_id_int and kit_id_int > 0 else None # Manufacturer canonical URL: e.g. /estes-1093.html mfr_canonical = _re_first(r'href="(/[a-z][a-z0-9-]+-\d+\.html)"', html) manufacturer_url = f"{BASE_URL}{mfr_canonical}" if mfr_canonical else None # Manufacturer alias URL from the kit-index filter link # e.g. /kit-index-manufacturer-estes.html mfr_alias = _re_first(r"(/kit-index-manufacturer-[^\"']+\.html)", html) manufacturer_url_alias = f"{BASE_URL}{mfr_alias}" if mfr_alias else None # Manufacturer name from the kit-index link (more reliable than the index field) manufacturer = index_rec.get("manufacturer") or None mfr_link = soup.find("a", href=re.compile(r"/kit-index-manufacturer-")) if mfr_link: manufacturer = mfr_link.get_text(strip=True) or manufacturer # Contributor URL from profile link with 4+ digit numeric suffix # e.g. /darrell-ritchies-darrell-8979.html contributor_path = _re_first(r"(/[a-z][a-z0-9-]+-\d{4,}\.html)", html) contributor_url = f"{BASE_URL}{contributor_path}" if contributor_path else None return { "id": int(index_rec["id"]), "url": canonical_url, "url_alias": url_alias, "date": index_rec.get("date"), "contributor": index_rec.get("contributor"), "contributor_url": contributor_url, "kit": index_rec.get("kit"), "kit_url": kit_url, "manufacturer": manufacturer, "manufacturer_url": manufacturer_url, "manufacturer_url_alias": manufacturer_url_alias, "type": index_rec.get("type"), "scraped_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"), "ratings": _parse_ratings(soup), "product": _parse_product(soup), "sections": _parse_sections(soup), } # --------------------------------------------------------------------------- # Fetch helpers # --------------------------------------------------------------------------- def fetch_index(session: requests.Session) -> list[dict]: log.info("Fetching review index from %s", INDEX_URL) resp = session.get(INDEX_URL, timeout=30) resp.raise_for_status() records = resp.json().get("records", []) log.info("Index returned %d records.", len(records)) return records def scrape_detail( session: requests.Session, rate: RateLimiter, index_rec: dict, force: bool = False, ) -> Optional[dict]: review_id = int(index_rec["id"]) shard = f"{review_id // 1000:03d}" shard_dir = DETAIL_DIR / shard dest = shard_dir / f"{review_id:06d}.json" if dest.exists() and not force: log.debug("Already scraped %s, skipping.", review_id) return None alias_path = index_rec.get("url", "") if not alias_path: log.warning("No URL for review %s, skipping.", review_id) return None url = f"{BASE_URL}{alias_path}" rate.wait() try: resp = session.get(url, timeout=30) resp.raise_for_status() except requests.RequestException as exc: log.warning("Failed to fetch review %s: %s", review_id, exc) return None return _parse_detail(resp.text, index_rec) # --------------------------------------------------------------------------- # Main # --------------------------------------------------------------------------- def main() -> None: parser = argparse.ArgumentParser(description="Scrape RocketReviews.com reviews.") parser.add_argument( "--delay", type=float, default=DEFAULT_DELAY, help=f"Seconds between requests (default: {DEFAULT_DELAY})", ) parser.add_argument( "--limit", type=int, default=None, help="Stop after scraping this many detail pages (useful for testing)", ) parser.add_argument( "--force", action="store_true", help="Re-scrape reviews that already have a saved detail file", ) args = parser.parse_args() SOURCE_DIR.mkdir(parents=True, exist_ok=True) DETAIL_DIR.mkdir(parents=True, exist_ok=True) session = _build_session() rate = RateLimiter(args.delay) # ------------------------------------------------------------------ # Step 1: fetch and write the full index # ------------------------------------------------------------------ records = fetch_index(session) scraped_at = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ") index_path = SOURCE_DIR / "index.jsonl" with index_path.open("w", encoding="utf-8") as f: for rec in records: f.write(json.dumps({**rec, "scraped_at": scraped_at}) + "\n") log.info("Wrote %d index records to %s", len(records), index_path) # ------------------------------------------------------------------ # Step 2: scrape each detail page # ------------------------------------------------------------------ if args.limit: records = records[: args.limit] ok = skipped = failed = 0 total = len(records) for i, rec in enumerate(records, 1): result = scrape_detail(session, rate, rec, force=args.force) if result is None: # Already exists and --force not set, or missing URL skipped += 1 continue review_id = int(rec["id"]) shard = f"{review_id // 1000:03d}" shard_dir = DETAIL_DIR / shard shard_dir.mkdir(parents=True, exist_ok=True) dest = shard_dir / f"{review_id:06d}.json" try: dest.write_text( json.dumps(result, indent=2, ensure_ascii=False), encoding="utf-8" ) ok += 1 log.debug("Saved %s", dest.name) except OSError as exc: log.warning("Could not write %s: %s", dest, exc) failed += 1 if i % 25 == 0 or i == total: log.info( "Progress: %d/%d — ok=%d skipped=%d failed=%d", i, total, ok, skipped, failed, ) log.info("Done — ok=%d skipped=%d failed=%d", ok, skipped, failed) if __name__ == "__main__": main()