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-researchInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| apify-market-research (this skill)by sickn33 | 91 | 46.9k | 3d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.7k | 12d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.9k | today | CLAUDE.md |
| last30days-skillby mvanhorn | 100 | 63.0k | 4d ago | CLAUDE.md |
| crawl4aiby unclecode | 100 | 84.4k | 2d ago | MCP 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.
Skill content
View source on GitHubname: 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)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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:
- 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
- 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.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
