Market Research is a development claude skill built by sickn33.

What it does
Market Research
Category
Development
Created by
sickn33
Last updated
Not tracked
Claude SkillDevelopment GitHub-backed Curated VerifiedClaude Code

Market Research

Market Research

Skill instructions


name: apify-market-research description: Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor. risk: unknown source: community

Market Research

Conduct market research using Apify Actors to extract data from multiple platforms.

When to Use

  • You need market sizing, regional demand, pricing, trend, or consumer behavior data.
  • The task is to gather research inputs from maps, travel, Facebook, Instagram, or trend sources with Apify.
  • You need structured market data plus a synthesized view of opportunities or risks.

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 market research 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 Market Research Type

Select the appropriate Actor based on research needs:

| User Need | Actor ID | Best For | |-----------|----------|----------| | Market density | compass/crawler-google-places | Location analysis | | Geospatial analysis | compass/google-maps-extractor | Business mapping | | Regional interest | apify/google-trends-scraper | Trend data | | Pricing and demand | apify/facebook-marketplace-scraper | Market pricing | | Event market | apify/facebook-events-scraper | Event analysis | | Consumer needs | apify/facebook-groups-scraper | Group research | | Market landscape | apify/facebook-pages-scraper | Business pages | | Business density | apify/facebook-page-contact-information | Contact data | | Cultural insights | apify/facebook-photos-scraper | Visual research | | Niche targeting | apify/instagram-hashtag-scraper | Hashtag research | | Hashtag stats | apify/instagram-hashtag-stats | Market sizing | | Market activity | apify/instagram-reel-scraper | Activity analysis | | Market intelligence | apify/instagram-scraper | Full data | | Product launch research | apify/instagram-api-scraper | API access | | Hospitality market | voyager/booking-scraper | Hotel data | | Tourism insights | maxcopell/tripadvisor-reviews | Review analysis |

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., compass/crawler-google-places).

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 market insights
  • Suggested next steps (deeper analysis, validation)

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

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.

Use this skill

Most skills are portable instruction packages. Claude Code supports SKILL.md directly. Other agents can use adapted files like AGENTS.md, .cursorrules, and GEMINI.md.

Claude Code

Save SKILL.md into your Claude Skills folder, then restart Claude Code.

mkdir -p ~/.claude/skills/market-research && curl -L "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/HEAD/plugins/antigravity-awesome-skills-claude/skills/apify-market-research/SKILL.md" -o ~/.claude/skills/market-research/SKILL.md

Installs to ~/.claude/skills/market-research/SKILL.md.

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