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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.

Install / Use

npx skills add sickn33/agentic-awesome-skills --skill apify-market-research

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Supported Platforms

Universal

Our assessment of apify-market-research

apify-market-research scores 91/100 on our quality scale, 48th of 254 Education & Research skills we index (top 19%).

Its SKILL.md is 4.6 KB long, well organised into 11 sections with 5 code examples: a solid amount of guidance for an agent.

With 46,875 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so apify-market-research is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

apify-market-research compared with similar skills

All 4 of these similar skills score higher than apify-market-research; compare them before choosing.

SkillScoreStarsUpdatedFormat
apify-market-research (this skill)by sickn339146.9k3d agoSKILL.md
Agent-Reachby Panniantong10085.7k12d agoCLAUDE.md
headroomby headroomlabs-ai10073.9ktodayCLAUDE.md
last30days-skillby mvanhorn10063.0k4d agoCLAUDE.md
crawl4aiby unclecode10084.4k2d agoMCP Server

Frequently asked questions

How do I install apify-market-research?
Run npx skills add sickn33/agentic-awesome-skills --skill apify-market-research. The install tabs above show the steps for each supported agent.
Which AI agents does apify-market-research work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is apify-market-research safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is apify-market-research still maintained?
The repository was last updated 3 days ago, so apify-market-research is actively maintained.

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: critical source: community date_added: "2026-09-04"

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.

Related Skills

View on GitHub
GitHub Stars46.9k
CategoryEducation
Updated3d ago
Forks6.8k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions