跳到正文
cccskills
免费在 GitHub 公开

apify-trend-analysis

Explore trends across Google Trends, Instagram, Facebook, YouTube, and TikTok using Apify data collection tools. Get a summary of emerging topics, hashtags, or sounds to guide content planning, with optional CSV or JSON exports.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.

查看安装方法

适用场景

  • Research search trends for content planning
  • Track Instagram and TikTok hashtags
  • Explore popular sounds and YouTube Shorts
  • Export trend data as CSV or JSON

包含的文件(2)

  • SKILL.md4.6 KB
  • reference/scripts/run_actor.js11.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Trend Analysis

Discover and track emerging trends using Apify Actors to extract data from multiple platforms.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Identify trend type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings

Step 1: Identify Trend Type

Select the appropriate Actor based on research needs:

User NeedActor IDBest For
Search trendsapify/google-trends-scraperGoogle Trends data
Hashtag trackingapify/instagram-hashtag-scraperHashtag content
Hashtag metricsapify/instagram-hashtag-statsPerformance stats
Visual trendsapify/instagram-post-scraperPost analysis
Trending discoveryapify/instagram-search-scraperSearch trends
Comprehensive trackingapify/instagram-scraperFull data
API-based trendsapify/instagram-api-scraperAPI access
Engagement trendsapify/export-instagram-comments-postsComment tracking
Product trendsapify/facebook-marketplace-scraperMarketplace data
Visual analysisapify/facebook-photos-scraperPhoto trends
Community trendsapify/facebook-groups-scraperGroup monitoring
YouTube Shortsstreamers/youtube-shorts-scraperShort-form trends
YouTube hashtagsstreamers/youtube-video-scraper-by-hashtagHashtag videos
TikTok hashtagsclockworks/tiktok-hashtag-scraperHashtag content
Trending soundsclockworks/tiktok-sound-scraperAudio trends
TikTok adsclockworks/tiktok-ads-scraperAd trends
Discover pageclockworks/tiktok-discover-scraperDiscover trends
Explore trendsclockworks/tiktok-explore-scraperExplore content
Trending contentclockworks/tiktok-trends-scraperViral content

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., apify/google-trends-scraper).

This returns:

  • Actor description and README
  • Required and optional input parameters
  • Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

  1. Output format:
    • Quick answer - Display top few results in chat (no file saved)
    • CSV - Full export with all fields
    • JSON - Full export in JSON format
  2. Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Findings

After completion, report:

  • Number of results found
  • File location and name
  • Key trend insights
  • Suggested next steps (deeper analysis, content opportunities)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token mcpc not found - Ask user to install npm install -g @apify/mcpc Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - Reduce input size or increase --timeout

When to Use

Use this skill when tackling tasks related to its primary domain or functionality as described above.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.

中文简介正在准备中。当前显示英语简介。

  • Planning the first steps of a new AI project
  • Assessing technical issues in an existing project
  • Selecting relevant skills from an available registry
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

007

免费

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

中文简介正在准备中。当前显示英语简介。

  • Reviewing code and infrastructure security
  • Mapping threats with STRIDE or PASTA
  • Planning stronger security settings
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

中文简介正在准备中。当前显示英语简介。

  • Creating a skill for a repeatable task
  • Improving an existing skill’s examples and limits
  • Validating skill files and preparing a pull request
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

中文简介正在准备中。当前显示英语简介。

  • Researching industry requirements before product design
  • Checking regulations for a project's jurisdiction
  • Choosing interface patterns familiar to target users
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

中文简介正在准备中。当前显示英语简介。

  • Create a presentation from text or an outline
  • Summarize a document into slides
  • Match slide styling to a reference image
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

中文简介正在准备中。当前显示英语简介。

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills4.8万2026年10月19日 更新

查看 sickn33 的全部技能

报告此技能的问题