763e06c127
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
181 lines
6.5 KiB
Python
181 lines
6.5 KiB
Python
"""Scrape Amazon Best Sellers and Movers & Shakers ranking pages for product demand signals.
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HTTP fetch strategy: fetches each ranking page with ``requests`` (browser-ish
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headers + retry/backoff) and delegates DOM parsing to the pure, reusable
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``parse_amazon_ranking_html`` function of the registry — so the HTTP scraper and
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the CDP scraper (``scrape_amazon_movers_cdp``) share one robust parser.
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"""
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from __future__ import annotations
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import os
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import sys
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import time
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import requests
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from datascience.parse_amazon_ranking_html import parse_amazon_ranking_html
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# Accept-Language hint per marketplace TLD. Falls back to a generic value.
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_ACCEPT_LANGUAGE = {
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"amazon.es": "es-ES,es;q=0.9,en;q=0.6",
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"amazon.com": "en-US,en;q=0.9",
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"amazon.co.uk": "en-GB,en;q=0.9",
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"amazon.de": "de-DE,de;q=0.9,en;q=0.6",
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"amazon.fr": "fr-FR,fr;q=0.9,en;q=0.6",
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"amazon.it": "it-IT,it;q=0.9,en;q=0.6",
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"amazon.com.mx": "es-MX,es;q=0.9,en;q=0.6",
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"amazon.com.br": "pt-BR,pt;q=0.9,en;q=0.6",
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}
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_USER_AGENT = (
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"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
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"(KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36"
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)
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# Signals that Amazon served an anti-bot / captcha / throttling page instead of
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# the ranking content.
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_BLOCK_MARKERS = (
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"api-services-support@amazon",
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"captcha",
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"to discuss automated access",
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"enter the characters you see below",
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"robot check",
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)
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def _build_headers(marketplace: str) -> dict:
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"""Realistic browser-ish headers for the given marketplace."""
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return {
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"User-Agent": _USER_AGENT,
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"Accept": (
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"text/html,application/xhtml+xml,application/xml;q=0.9,"
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"image/avif,image/webp,*/*;q=0.8"
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),
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"Accept-Language": _ACCEPT_LANGUAGE.get(marketplace, "en-US,en;q=0.9"),
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"Accept-Encoding": "gzip, deflate, br",
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"Connection": "keep-alive",
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"Upgrade-Insecure-Requests": "1",
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"Sec-Fetch-Dest": "document",
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"Sec-Fetch-Mode": "navigate",
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"Sec-Fetch-Site": "none",
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"Sec-Fetch-User": "?1",
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}
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def _build_url(marketplace: str, list_type: str, category: str | None) -> str:
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"""Compose the ranking URL for a marketplace / list type / category slug."""
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base = "movers-and-shakers" if list_type == "movers_shakers" else "bestsellers"
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url = f"https://www.{marketplace}/gp/{base}"
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if category:
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url = f"{url}/{category.strip('/')}"
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return url
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def _looks_blocked(status_code: int, html: str) -> bool:
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"""Heuristic: did Amazon serve an anti-bot / throttling page?"""
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if status_code in (429, 503):
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return True
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lowered = html.lower()
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return any(marker in lowered for marker in _BLOCK_MARKERS)
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def _fetch(url: str, headers: dict, timeout: int, retries: int) -> requests.Response:
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"""GET with small retry + backoff. Raises on persistent failure / block."""
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last_exc: Exception | None = None
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for attempt in range(retries + 1):
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try:
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resp = requests.get(url, headers=headers, timeout=timeout)
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except requests.RequestException as exc: # network / timeout
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last_exc = exc
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if attempt < retries:
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time.sleep(1.5 * (attempt + 1))
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continue
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raise RuntimeError(f"request to {url} failed: {exc}") from exc
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if _looks_blocked(resp.status_code, resp.text):
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if attempt < retries:
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time.sleep(2.0 * (attempt + 1))
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continue
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raise RuntimeError(
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f"Amazon anti-bot block on {url} (HTTP {resp.status_code}). "
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"HTTP scraping is being throttled/captcha'd; fall back to the "
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"browser MCP/CDP path of the ecosystem."
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)
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if resp.status_code != 200:
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last_exc = RuntimeError(
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f"unexpected HTTP {resp.status_code} for {url}"
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)
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if attempt < retries:
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time.sleep(1.5 * (attempt + 1))
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continue
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raise last_exc
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return resp
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# Should not reach here, but be defensive.
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raise RuntimeError(f"could not fetch {url}: {last_exc}")
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def scrape_amazon_bestsellers(
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marketplace: str = "amazon.es",
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categories: list[str] | None = None,
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list_type: str = "bestsellers",
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max_items: int = 50,
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) -> list[dict]:
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"""Scrape Amazon Best Sellers / Movers & Shakers ranking pages.
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Captures demand signals (rank, title, price, rating, reviews and — for
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Movers & Shakers — percentage change) from one or more category ranking
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pages of a given Amazon marketplace.
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Args:
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marketplace: Amazon domain, e.g. ``"amazon.es"``, ``"amazon.com"``.
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categories: Category slugs (e.g. ``"electronics"``, ``"videogames"``).
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If ``None`` the general front page of the chosen list is scraped.
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list_type: ``"bestsellers"`` (URL ``/gp/bestsellers/<cat>``) or
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``"movers_shakers"`` (URL ``/gp/movers-and-shakers/<cat>``).
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max_items: Maximum number of items collected per category.
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Returns:
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A list of dicts, one per product, with exactly these keys:
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``marketplace, list_type, category, rank, asin, title, price,
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currency, rating, reviews, pct_change, url``. Missing values are
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``None``. ``price``/``rating``/``pct_change`` are floats,
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``rank``/``reviews`` are ints. ``pct_change`` only filled for
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``movers_shakers``.
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Raises:
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ValueError: If ``list_type`` is not one of the allowed values.
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RuntimeError: On network failure or when Amazon serves an anti-bot /
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captcha / throttling page.
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"""
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if list_type not in ("bestsellers", "movers_shakers"):
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raise ValueError(
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f"list_type must be 'bestsellers' or 'movers_shakers', got {list_type!r}"
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)
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cats: list[str | None] = list(categories) if categories else [None]
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headers = _build_headers(marketplace)
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results: list[dict] = []
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for category in cats:
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url = _build_url(marketplace, list_type, category)
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resp = _fetch(url, headers, timeout=20, retries=2)
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rows = parse_amazon_ranking_html(
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resp.text,
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marketplace=marketplace,
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list_type=list_type,
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max_items=max_items,
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)
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# The pure parser leaves category=None (it doesn't know the URL);
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# stamp the category we requested.
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for row in rows:
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row["category"] = category
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results.extend(rows)
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return results
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