apify-market-research

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Market Research

市场调研

Conduct market research using Apify Actors to extract data from multiple platforms.

使用Apify Actors开展市场调研，从多平台提取数据。

Prerequisites

前置条件

(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
```

（无需预先检查）

包含
```
APIFY_TOKEN
```
的
```
.env
```
文件
Node.js 20.6+（支持原生
```
--env-file
```
）
```
mcpc
```
CLI工具：
```
npm install -g @apify/mcpc
```

Workflow

工作流程

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

复制以下清单并跟踪进度：

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

步骤1：确定市场调研类型

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

根据调研需求选择合适的Actor：

用户需求	Actor ID	适用场景
市场密度	`compass/crawler-google-places`	地域分析
地理空间分析	`compass/google-maps-extractor`	商业地图绘制
区域兴趣趋势	`apify/google-trends-scraper`	趋势数据获取
定价与需求分析	`apify/facebook-marketplace-scraper`	市场定价调研
活动市场分析	`apify/facebook-events-scraper`	活动分析
消费者需求调研	`apify/facebook-groups-scraper`	社群研究
市场格局分析	`apify/facebook-pages-scraper`	商业主页分析
商业密度调研	`apify/facebook-page-contact-information`	联系数据获取
文化洞察分析	`apify/facebook-photos-scraper`	视觉研究
细分市场定位	`apify/instagram-hashtag-scraper`	话题标签研究
话题标签统计	`apify/instagram-hashtag-stats`	市场规模测算
市场活跃度分析	`apify/instagram-reel-scraper`	活跃度分析
市场情报收集	`apify/instagram-scraper`	全数据提取
产品发布调研	`apify/instagram-api-scraper`	API数据访问
酒店市场分析	`voyager/booking-scraper`	酒店数据获取
旅游行业洞察	`maxcopell/tripadvisor-reviews`	评论分析

Step 2: Fetch Actor Schema

步骤2：获取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)

使用mcpc动态获取Actor的输入Schema及详细信息：

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"

将

ACTOR_ID

替换为所选Actor（例如

compass/crawler-google-places

）。

此命令将返回：

Actor描述及README
必填和可选输入参数
输出字段（若有）

Step 3: Ask User Preferences

步骤3：询问用户偏好

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

运行前，需询问：

输出格式：
- 快速答复 - 在聊天中显示前几条结果（不保存文件）
- CSV - 导出全部字段的完整数据
- JSON - 以JSON格式导出完整数据
结果数量：根据使用场景特性确定

Step 4: Run the Script

步骤4：运行脚本

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

快速答复（在聊天中显示，不保存文件）：

bash

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

CSV格式导出：

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格式导出：

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

步骤5：总结调研结果

After completion, report:

Number of results found
File location and name
Key market insights
Suggested next steps (deeper analysis, validation)

完成后，需汇报：

找到的结果数量
文件位置及名称
关键市场洞察
建议后续步骤（深度分析、验证）

Error Handling

错误处理

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_TOKEN not found

- 请用户创建包含

APIFY_TOKEN=your_token

的

.env

文件

mcpc not found

- 请用户安装

npm install -g @apify/mcpc

Actor not found

- 检查Actor ID拼写

Run FAILED

- 请用户查看错误输出中的Apify控制台链接

Timeout

- 减小输入规模或增加

--timeout

参数