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apify-market-research

Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.

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포함된 파일(2)

  • SKILL.md4.6 KB
  • reference/scripts/run_actor.js11.5 KB

SKILL.md(원문)

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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 NeedActor IDBest For
Market densitycompass/crawler-google-placesLocation analysis
Geospatial analysiscompass/google-maps-extractorBusiness mapping
Regional interestapify/google-trends-scraperTrend data
Pricing and demandapify/facebook-marketplace-scraperMarket pricing
Event marketapify/facebook-events-scraperEvent analysis
Consumer needsapify/facebook-groups-scraperGroup research
Market landscapeapify/facebook-pages-scraperBusiness pages
Business densityapify/facebook-page-contact-informationContact data
Cultural insightsapify/facebook-photos-scraperVisual research
Niche targetingapify/instagram-hashtag-scraperHashtag research
Hashtag statsapify/instagram-hashtag-statsMarket sizing
Market activityapify/instagram-reel-scraperActivity analysis
Market intelligenceapify/instagram-scraperFull data
Product launch researchapify/instagram-api-scraperAPI access
Hospitality marketvoyager/booking-scraperHotel data
Tourism insightsmaxcopell/tripadvisor-reviewsReview 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 enprojectnment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

리뷰

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