Datasets:
File size: 13,694 Bytes
25c60c2 bb70d66 25c60c2 bb70d66 25c60c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 | #!/usr/bin/env python3
"""
scrape_products.py — Fetch the RocketReviews.com product index and scrape each
detail page, saving structured JSON to source/products/.
Output
------
source/products/index.jsonl one record per product (raw index fields)
source/products/detail/{id}.json full parsed detail per product
Usage
-----
python scripts/products/01_scrape.py
python scripts/products/01_scrape.py --delay 2.0 --limit 10
python scripts/products/01_scrape.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/products/products.php?search=&type="
USER_AGENT = "RocketReviews-Dataset/1.0"
DEFAULT_DELAY = 1.0 # seconds between requests
ROOT = Path(__file__).parent.parent.parent
SOURCE_DIR = ROOT / "source" / "products"
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 _slug_to_label(slug: str) -> str:
"""Convert a hyphenated slug to a title-cased label."""
return slug.replace("-", " ").title()
def _kit_index_int(field: str, html: str) -> Optional[int]:
"""
Extract an integer value from a /kit-index-{field}-{value}.html href.
Used for fields stored as integers (e.g. skill-level).
"""
val = _re_first(rf"/kit-index-{field}-(\d+)\.html", html)
return int(val) if val else None
def _kit_index_scaled(field: str, html: str, scale: int = 10000) -> Optional[float]:
"""
Extract a scaled integer from a /kit-index-{field}-{value}.html href
and divide by scale. Used for diameter, length, weight (4 decimal places).
"""
val = _re_first(rf"/kit-index-{field}-(\d+)\.html", html)
return int(val) / scale if val else None
def _kit_index_slug(field: str, html: str) -> Optional[str]:
"""
Extract and humanize a slug value from a /kit-index-{field}-{slug}.html href.
Used for power class, recovery type, status.
"""
val = _re_first(rf"/kit-index-{field}-([a-z][a-z-]*)\.html", html)
return _slug_to_label(val) if val else None
def _parse_manufacturer(html: str, soup: BeautifulSoup) -> dict:
"""Extract manufacturer name and URLs from the page."""
# Canonical manufacturer page: e.g. /estes-1093.html
mfr_canonical = _re_first(r'href="(/[a-z][a-z0-9-]+-\d+\.html)"', html)
url = f"{BASE_URL}{mfr_canonical}" if mfr_canonical else None
# Alias: kit-index filter page e.g. /kit-index-manufacturer-estes.html
mfr_alias = _re_first(r"(/kit-index-manufacturer-[^\"']+\.html)", html)
url_alias = f"{BASE_URL}{mfr_alias}" if mfr_alias else None
mfr_link = soup.find("a", href=re.compile(r"/kit-index-manufacturer-"))
name = mfr_link.get_text(strip=True) if mfr_link else None
return {
"name": name,
"url": url,
"url_alias": url_alias,
}
def _parse_designer(html: str) -> Optional[dict]:
"""
Extract designer name and URL from /kit-index-designer-{name}-{id}.html.
Returns None if no designer is present.
"""
m = re.search(r"(/kit-index-designer-([a-z][a-z-]*)-\d+\.html)", html)
if not m:
return None
return {
"name": _slug_to_label(m.group(2)),
"url": f"{BASE_URL}{m.group(1)}",
}
def _parse_styles(html: str) -> list[str]:
"""Extract all style labels from /kit-index-style-{name}-{id}.html hrefs."""
return [
_slug_to_label(m)
for m in re.findall(r"/kit-index-style-([a-z][a-z-]*)-\d+\.html", html)
]
def _parse_recommended_motors(soup: BeautifulSoup) -> list[str]:
"""
Find the 'Recommended Motors' label and extract the motor designations
that follow it as comma-separated text.
"""
strong = soup.find("strong", string=re.compile(r"Recommended Motors?", re.I))
if not strong:
return []
# Collect text from following siblings until next <strong>
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)
motors = [m.strip() for m in re.split(r"[,\s]+", text.strip()) if m.strip()]
return motors
def _parse_cp(html: str) -> Optional[dict]:
"""
Extract CP location and method if present on the product page.
CP location href: /kit-index-cp-{value}.html (value = inches * 10000)
CP method href: /kit-index-cpmethod-{slug}.html
Direction (Front/Rear) extracted from surrounding text.
"""
location_raw = _re_first(r"/kit-index-cp-(\d+)\.html", html)
if not location_raw:
return None
location_in = int(location_raw) / 10000
# Determine direction from surrounding text
direction = "Front"
m = re.search(r"(\d+\.\d+)\s+inches\s+from\s+(Front|Rear)", html, re.I)
if m:
direction = m.group(2).title()
method_slug = _re_first(r"/kit-index-cpmethod-([a-z][a-z/]*[a-z-]*)\.html", html)
method = _slug_to_label(method_slug) if method_slug else None
return {
"location_in": location_in,
"location_from": direction,
"method": method,
}
def _parse_specs(html: str, soup: BeautifulSoup) -> Optional[dict]:
"""
Parse kit-specific structured specs from /kit-index-{field}-{value}.html
link patterns. Returns None for non-kit product types that lack specs.
"""
diameter = _kit_index_scaled("diameter", html)
length = _kit_index_scaled("length", html)
weight = _kit_index_scaled("weight", html)
motor_size = _kit_index_int("motor-size", html)
skill_level = _kit_index_int("skill-level", html)
power_class = _kit_index_slug("power", html)
recovery = _kit_index_slug("recovery", html)
status_slug = _re_first(r"/kit-index-status-([a-z][a-z-]*)\.html", html)
status = _slug_to_label(status_slug) if status_slug else None
styles = _parse_styles(html)
recommended_motors = _parse_recommended_motors(soup)
# If none of the kit-specific fields are present, this isn't a kit-type page
if not any([diameter, length, weight, motor_size, skill_level, power_class]):
return None
return {
"diameter_in": diameter,
"length_in": length,
"weight_oz": weight,
"motor_size_mm": motor_size,
"power_class": power_class,
"skill_level": skill_level,
"style": styles,
"recovery": recovery,
"status": status,
"recommended_motors": recommended_motors,
}
def _parse_detail(html: str, index_rec: dict) -> dict:
soup = BeautifulSoup(html, "lxml")
product_id = int(index_rec["id"])
# Canonical URL is directly constructable from the product ID
url = f"{BASE_URL}/product-{product_id}.html"
# Alias URL from the index
alias_path = index_rec.get("url", "")
url_alias = f"{BASE_URL}{alias_path}" if alias_path else None
return {
"id": product_id,
"url": url,
"url_alias": url_alias,
"name": index_rec.get("name"),
"title": index_rec.get("title"),
"type": index_rec.get("type"),
"model": index_rec.get("model") or None,
"years": index_rec.get("years") or None,
"manufacturer": _parse_manufacturer(html, soup),
"designer": _parse_designer(html),
"scraped_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
"specs": _parse_specs(html, soup),
"cp": _parse_cp(html),
}
# ---------------------------------------------------------------------------
# Fetch helpers
# ---------------------------------------------------------------------------
def fetch_index(session: requests.Session) -> list[dict]:
log.info("Fetching product 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]:
product_id = int(index_rec["id"])
shard = f"{product_id // 1000:03d}"
shard_dir = DETAIL_DIR / shard
dest = shard_dir / f"{product_id:06d}.json"
if dest.exists() and not force:
log.debug("Already scraped %s, skipping.", product_id)
return None
# Use canonical URL directly — constructable from the ID
url = f"{BASE_URL}/product-{product_id}.html"
rate.wait()
try:
resp = session.get(url, timeout=30)
resp.raise_for_status()
except requests.RequestException as exc:
log.warning("Failed to fetch product %s: %s", product_id, exc)
return None
return _parse_detail(resp.text, index_rec)
# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------
def main() -> None:
parser = argparse.ArgumentParser(description="Scrape RocketReviews.com products.")
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 products 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:
skipped += 1
continue
product_id = int(rec["id"])
shard = f"{product_id // 1000:03d}"
shard_dir = DETAIL_DIR / shard
shard_dir.mkdir(parents=True, exist_ok=True)
dest = shard_dir / f"{product_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()
|