apify-market-research

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

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Sourceapify/agent-skills
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NPX Install

npx skill4agent add apify/agent-skills apify-market-research

Tags

Translated version includes tags in frontmatter
market-researchapify-actorsdata-extractionmulti-platform-analysiscli-tool

SKILL.md Content

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Market Research

Conduct market research 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 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 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:
bash
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):
bash
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'
CSV:
bash
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:
bash
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