apify-influencer-discovery

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Influencer Discovery

网红达人发掘

Discover and analyze influencers across multiple platforms using Apify Actors.

使用Apify Actors在多个平台上发掘和分析网红达人。

Prerequisites

前提条件

(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
```
功能）
```
mcpc
```
CLI工具：
```
npm install -g @apify/mcpc
```

Workflow

工作流程

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results

复制此清单并追踪进度：

Task Progress:
- [ ] Step 1: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results

Step 1: Determine Discovery Source

步骤1：确定发掘来源

Select the appropriate Actor based on user needs:

User Need	Actor ID	Best For
Influencer profiles	`apify/instagram-profile-scraper`	Profile metrics, bio, follower counts
Find by hashtag	`apify/instagram-hashtag-scraper`	Discover influencers using specific hashtags
Reel engagement	`apify/instagram-reel-scraper`	Analyze reel performance and engagement
Discovery by niche	`apify/instagram-search-scraper`	Search for influencers by keyword/niche
Brand mentions	`apify/instagram-tagged-scraper`	Track who tags brands/products
Comprehensive data	`apify/instagram-scraper`	Full profile, posts, comments analysis
API-based discovery	`apify/instagram-api-scraper`	Fast API-based data extraction
Engagement analysis	`apify/export-instagram-comments-posts`	Export comments for sentiment analysis
Facebook content	`apify/facebook-posts-scraper`	Analyze Facebook post performance
Micro-influencers	`apify/facebook-groups-scraper`	Find influencers in niche groups
Influential pages	`apify/facebook-search-scraper`	Search for influential pages
YouTube creators	`streamers/youtube-channel-scraper`	Channel metrics and subscriber data
TikTok influencers	`clockworks/tiktok-scraper`	Comprehensive TikTok data extraction
TikTok (free)	`clockworks/free-tiktok-scraper`	Free TikTok data extractor
Live streamers	`clockworks/tiktok-live-scraper`	Discover live streaming influencers

根据用户需求选择合适的Actor：

用户需求	Actor ID	适用场景
网红达人主页	`apify/instagram-profile-scraper`	主页数据、个人简介、粉丝数量
通过话题标签查找	`apify/instagram-hashtag-scraper`	使用特定话题标签发掘网红达人
Reel互动数据	`apify/instagram-reel-scraper`	分析Reel表现和互动情况
按细分领域发掘	`apify/instagram-search-scraper`	通过关键词/细分领域搜索网红达人
品牌提及追踪	`apify/instagram-tagged-scraper`	追踪谁标记了品牌/产品
全面数据分析	`apify/instagram-scraper`	完整主页、帖子、评论分析
基于API的发掘	`apify/instagram-api-scraper`	基于API的快速数据提取
互动分析	`apify/export-instagram-comments-posts`	导出评论用于情感分析
Facebook内容分析	`apify/facebook-posts-scraper`	分析Facebook帖子表现
微型网红达人	`apify/facebook-groups-scraper`	在细分群组中寻找网红达人
高影响力主页	`apify/facebook-search-scraper`	搜索高影响力主页
YouTube创作者	`streamers/youtube-channel-scraper`	频道数据和订阅者信息
TikTok网红达人	`clockworks/tiktok-scraper`	全面的TikTok数据提取
TikTok（免费版）	`clockworks/free-tiktok-scraper`	免费的TikTok数据提取工具
直播达人	`clockworks/tiktok-live-scraper`	发掘直播类网红达人

Step 2: Fetch Actor Schema

步骤2：获取Actor架构

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.,

apify/instagram-profile-scraper

This returns:

Actor description and README
Required and optional input parameters
Output fields (if available)

使用mcpc动态获取Actor的输入架构和详细信息：

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

替换为所选的Actor（例如：

apify/instagram-profile-scraper

）。

此命令将返回：

Actor描述和README
必填和可选输入参数
输出字段（若可用）

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，询问以下内容：

输出格式：
- 快速回复 - 在聊天中显示少量结果（不保存文件）
- CSV - 导出包含所有字段的完整数据
- 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

快速回复（在聊天中显示，不生成文件）：

bash

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

CSV格式：

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：

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 Results

步骤5：总结结果

After completion, report:

Number of influencers found
File location and name
Key metrics available (followers, engagement rate, etc.)
Suggested next steps (filtering, outreach, deeper analysis)

完成后，报告以下内容：

找到的网红达人数量
文件位置和名称
可用的关键指标（粉丝数、互动率等）
建议的后续步骤（筛选、联系、深度分析）

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的拼写

Run FAILED

- 请用户查看错误输出中的Apify控制台链接

Timeout

- 减少输入数据量或增加

--timeout

参数