/apify-market-research
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
$ npx -y skills add sickn33/antigravity-awesome-skills --skill apify-market-research --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/apify-market-research
Context preview
The summary Claude sees to decide when to auto-load this skill.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
SKILL.md
apify-market-research.SKILL.mdname: 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
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 jsonStep 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.
Read more
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
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 jsonStep 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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