apify-market-research

Original：🇺🇸 English

Translated

1 scripts

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

100installs

Sourceapify/agent-skills

Added on2026-02-04

NPX Install

npx skill4agent add apify/agent-skills apify-market-research

SKILL.md Content

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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)
```
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:

bash

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):

bash

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

bash

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:

bash

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

apify-market-research

NPX Install

Tags

SKILL.md Content

Market Research

Prerequisites

Workflow

Step 1: Identify Market Research Type

Step 2: Fetch Actor Schema

Step 3: Ask User Preferences

Step 4: Run the Script

Step 5: Summarize Findings

Error Handling