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apify/awesome-skills111 installs

apify-market-research

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

How do I install this agent skill?

npx skills add https://github.com/apify/awesome-skills --skill apify-market-research
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill facilitates market research using Apify Actors. It is generally secure as it uses official vendor tools and APIs. However, it handles sensitive tokens via URLs and processes untrusted web data, which presents a minor risk of indirect prompt injection.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

  • Runlayerfail

    1/2 files flagged

What does this agent skill do?

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)

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Identify market research type (select Actor)
- [ ] Step 2: Fetch Actor schema
- [ ] 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:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/fetch_actor_details.js --actor "ACTOR_ID"

Replace ACTOR_ID with the selected Actor (e.g., compass/crawler-google-places).

This returns:

  • Actor info (title, description, URL, categories, stats, rating)
  • README summary
  • Input schema (required and optional parameters)

Step 3: Ask User Preferences

Skip this step for simple lookups (e.g., "what's Nike's follower count?", "find me 5 coffee shops in Prague") — just use quick answer mode and move to Step 4.

For larger scraping tasks, 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

Cost safety: Always set a sensible result limit in the Actor input (e.g., maxResults, resultsLimit, maxCrawledPages, or equivalent field from the input schema). Default to 100 results unless the user explicitly asks for more. Warn the user before running large scrapes (1000+ results) as they consume more Apify credits.

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 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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/apify/awesome-skills/apify-market-research">View apify-market-research on skillZs</a>