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game-price-history-research

通过 Crawlora 检索 Steam 每日价格观测记录与 PlayStation 当前商品报价,先核对 appid、SKU、版本、区域与货币,再计算价差和百分比变化,输出标注日期、数据缺口与货币的折扣简报及价格区间分析。

crawlora-org
crawlora-org
热度 42.53
最近更新 2026-10-13 09:53:42
分类:数据依赖:第三方 API / MCP 服务 / 代码执行应用场景:研究 / 报告撰写 / 购物 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add game-price-history-research
Metadata
name
game-price-history-research
description
Research observed Steam price history and compare current game editions or PlayStation offers using Crawlora. Use for a dated discount brief, observed price-range analysis, or game offer comparison with currency, SKU, subscription, and history coverage preserved.

Game price history research

Access and scope

Set CRAWLORA_API_KEY to your Crawlora key. Prefer the listed Crawlora MCP tools when connected; otherwise use the bundled scripts/crawlora.sh, which sends x-api-key to https://api.crawlora.net/api/v1. Read reference/endpoints.md for exact methods and parameters. Check application code as well as HTTP status; payloads are inside data. Stop on authentication errors, back off on 429, and retry a transient upstream failure once. Bound calls/pages by the requested scope and credit budget. Retain source IDs, URLs, source dates, and observation/crawl times separately.

Explain observed game prices and discounts for a title or matched edition set. Establish storefront, edition/base-game/add-on scope, desired platforms, currency, region, observation window, and whether the task is historical or a current offer check.

Resolve title, edition, and history scope

  • Discover Steam titles/tags or PlayStation category/region/classification facets, then resolve exact appid, product SKU, and concept/title grouping. A base game, bundle, DLC, virtual currency, and premium edition are different offers. Shared names or concept IDs are grouping leads, not identical entitlements.
  • Steam dataset histories use app_id; live Steam app detail uses appid and optional cc. The history endpoint has no country filter: do not pass cc or claim a live regional quote retroactively describes the stored series.
  • datasets_steam_prices_search stores daily app/day price observations for priced games, with snapshot_date, crawled_at, currency, integer cents, initial cents, discount percentage, and free flag. Dates with no row are unobserved, not zero price or proven unchanged. The first stored day is not necessarily the original launch price, and a stored minimum is not an all-time low.
  • PlayStation stored rows are current/crawled product SKUs with region, minor-unit price fields, and subscription/add-on flags. No historical SKU-price endpoint is provided here. Compare current PlayStation offers separately from Steam history rather than inventing a cross-platform daily time series.
scripts/crawlora.sh /datasets/steam-games/search q="The Witcher 3" type=game page=1 page_size=5
scripts/crawlora.sh /datasets/playstation-games/facets facet=region
# Use a verified returned app ID before its history/current detail:
# scripts/crawlora.sh /datasets/steam-prices/search app_id="$APP_ID" sort=date_asc page=1 page_size=100
# scripts/crawlora.sh /steam/app appid="$APP_ID" cc=us

Calculate and present comparable prices

Convert explicitly declared *_cents using their cents scale, preserving raw values; PlayStation minor-unit fields need the row's currency/scale. Never apply one assumed currency or conversion factor to unlike sources. Keep initial/list, discounted, per-edition, bundle, and subscription-qualified prices separate. An included-with-subscription label is not proof the user owns the necessary plan. A price of zero needs source/free/context evidence; a missing price is unknown.

For compatible positive prices compute later − earlier and the percentage change against the earlier observed price. A displayed markdown is relative to its displayed base price, not automatically relative to the historical maximum. Bound pages to the 10,000-result window and show actual covered days, gaps, currency, and crawl dates. Report observed range/minimum, dated discounts, current-versus-stored conflicts, and edition/region assumptions. Prices do not establish sales, revenue, availability, or savings until checkout; do not purchase, subscribe, redeem keys, or schedule price alerts unless requested.