About apify-market-research
A skill for market research that collects data from multiple platforms through Apify Actors. It helps select an Actor for a research goal, run the collection, and summarize or export results as CSV or JSON.
Key features
- 01Select Apify Actors by research goal
- 02Fetch Actor input schemas
- 03Set result limits and output formats
- 04Run collection and summarize findings
Use cases
- 01Analyze regional business density and locations
- 02Research market prices, demand, and trends
- 03Study social groups and audience interests
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ apify/ awesome-skills --skill apify-market-researchAfter installing, type/apify-market-researchin Claude Code to confirm it loaded.
Bundled filesreference/scripts/fetch_actor_details.jsreference/scripts/run_actor.js
Details
From the project READMEMarket Research
Conduct market research using Apify Actors to extract data from multiple platforms.
Prerequisites
(No need to check it upfront)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport)
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 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:
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:
- 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
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