Apify Market Research

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

1. 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: tmolavi
• Source: tmolavi/mcp-agent-skills-hub
• License: MIT
• Homepage: https://molavi.pro

Install and usage instructions live in the source repository linked above.