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twitch-category-opportunity-research

通过 Crawlora 获取 Twitch 品类总观众、热门直播、频道、日程、VOD 与剪辑样本,在统一采集窗口内比较集中度,输出品类快照账本、来源受限的对比表、内容示例、与创作者约束的匹配分析及可检验内容假设,并明确标注数据局限。

crawlora-org
crawlora-org
热度 7.65
最近更新 2026-10-05 10:46:35
分类:数据依赖:第三方 API / MCP 服务 / 代码执行应用场景:市场分析 / 研究 / 报告撰写

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 twitch-category-opportunity-research
Metadata
name
twitch-category-opportunity-research
description
Compare Twitch categories using Crawlora current game totals, top live streams, channel metadata, schedules, VODs, and clips. Use for a streaming category shortlist or content-planning brief with live concentration, top-N sampling, timing, and audience/revenue limits preserved.

Twitch category opportunity 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.

Build a content-planning brief for a creator's specified categories, language, format, timezone, schedule, and goals. These public snapshots describe observed live supply and visibility, not a forecast of the creator's audience or revenue.

Discover categories and collect aligned snapshots

  • Use top games or Twitch search to resolve actual category slugs. Top games is a viewer-ranked list capped at 100, not every category. viewers_count is the category's current aggregate live viewers, while streams returns top live channels by viewers with its own limit/cap and no exposed exhaustive pagination.
  • Query chosen categories within a narrow collection window and retain each timestamp and limit. Game IDs, slugs, broadcaster IDs/logins, stream IDs, VOD IDs, and clip IDs are different identifiers. Resolve returned channel logins before profile, schedule, videos, or clips.
  • Preserve freeform stream tags/language cues with their original evidence; tags are not a verified curated demographic taxonomy. Scheduled category is planned content, not proof a broadcast happened. Schedules cover up to four weeks; an empty configured schedule does not establish channel inactivity.
  • Use selected VODs/clips only for visible format/title/duration and dated content examples. A clipped moment is a curated sample, not representative coverage of all the creator's broadcasts. Missing/expired VODs remain unavailable evidence.
scripts/crawlora.sh /twitch/top-games limit=10
scripts/crawlora.sh /twitch/search query="strategy games" limit=5
# Select a returned category slug and comparable collection limits:
# scripts/crawlora.sh /twitch/streams game="$CATEGORY_SLUG" limit=20

Compare concentration and practical hypotheses

Show category aggregate viewers separately from the returned top-stream viewer sum and sample size. A matched near-synchronous top-N share can describe observed concentration, but do not divide by a top-N subtotal and call it full-category share. Differently timed calls can disagree; keep a discrepancy rather than forcing sums to match. The returned stream count is not the total competing stream count. Category totals are global; a language-tag-filtered top-stream sample does not supply that language's total audience or competition denominator.

Live concurrent viewers, VOD views, clip views, followers, and schedule hours are different measures. Do not add them into unique audience, retention, discoverability, or monetisation forecasts. No audience-demographic or sponsor-ROI conclusion follows from these fields. Comparisons across time slots need actual repeat observations with fixed queries and windows, not inferred schedules.

Return a category/snapshot ledger, source-bounded concentration table, relevant content/schedule examples, fit to the creator's stated constraints, and testable content hypotheses with uncertainty. A small apparent category is not proof of an opportunity or unmet demand. Do not start streams, contact creators/sponsors, create accounts, or schedule ongoing monitoring unless requested.