apify-lead-generation

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Lead Generation

销售线索生成

Scrape leads from multiple platforms using Apify Actors.

使用Apify Actors从多个平台抓取销售线索。

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
```
）
```
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 lead source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the lead finder script
- [ ] Step 5: Summarize results

复制此检查清单并跟踪进度：

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

Step 1: Determine Lead Source

步骤1：确定线索来源

Select the appropriate Actor based on user needs:

User Need	Actor ID	Best For
Local businesses	`compass/crawler-google-places`	Restaurants, gyms, shops
Contact enrichment	`vdrmota/contact-info-scraper`	Emails, phones from URLs
Instagram profiles	`apify/instagram-profile-scraper`	Influencer discovery
Instagram posts/comments	`apify/instagram-scraper`	Posts, comments, hashtags, places
Instagram search	`apify/instagram-search-scraper`	Places, users, hashtags discovery
TikTok videos/hashtags	`clockworks/tiktok-scraper`	Comprehensive TikTok data extraction
TikTok hashtags/profiles	`clockworks/free-tiktok-scraper`	Free TikTok data extractor
TikTok user search	`clockworks/tiktok-user-search-scraper`	Find users by keywords
TikTok profiles	`clockworks/tiktok-profile-scraper`	Creator outreach
TikTok followers/following	`clockworks/tiktok-followers-scraper`	Audience analysis, segmentation
Facebook pages	`apify/facebook-pages-scraper`	Business contacts
Facebook page contacts	`apify/facebook-page-contact-information`	Extract emails, phones, addresses
Facebook groups	`apify/facebook-groups-scraper`	Buying intent signals
Facebook events	`apify/facebook-events-scraper`	Event networking, partnerships
Google Search	`apify/google-search-scraper`	Broad lead discovery
YouTube channels	`streamers/youtube-scraper`	Creator partnerships
Google Maps emails	`poidata/google-maps-email-extractor`	Direct email extraction

根据用户需求选择合适的Actor：

用户需求	Actor ID	最佳适用场景
本地企业	`compass/crawler-google-places`	餐厅、健身房、商店
联系人信息丰富	`vdrmota/contact-info-scraper`	从URL提取邮箱、电话
Instagram个人主页	`apify/instagram-profile-scraper`	网红发掘
Instagram帖子/评论	`apify/instagram-scraper`	帖子、评论、话题标签、地点
Instagram搜索	`apify/instagram-search-scraper`	地点、用户、话题标签发掘
TikTok视频/话题标签	`clockworks/tiktok-scraper`	全面的TikTok数据提取
TikTok话题标签/个人主页	`clockworks/free-tiktok-scraper`	免费TikTok数据提取工具
TikTok用户搜索	`clockworks/tiktok-user-search-scraper`	通过关键词查找用户
TikTok个人主页	`clockworks/tiktok-profile-scraper`	创作者触达
TikTok关注者/关注列表	`clockworks/tiktok-followers-scraper`	受众分析、细分
Facebook主页	`apify/facebook-pages-scraper`	企业联系人
Facebook主页联系信息	`apify/facebook-page-contact-information`	提取邮箱、电话、地址
Facebook群组	`apify/facebook-groups-scraper`	购买意向信号
Facebook活动	`apify/facebook-events-scraper`	活动人脉拓展、合作
Google搜索	`apify/google-search-scraper`	广泛的线索发掘
YouTube频道	`streamers/youtube-scraper`	创作者合作
Google Maps邮箱	`poidata/google-maps-email-extractor`	直接提取邮箱

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的输入模式和详细信息：

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

compass/crawler-google-places

）。

此命令返回：

Actor描述和README
必填和可选输入参数
输出字段（如果可用）

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：
- 快速答复 - 在聊天中显示前几条结果（不保存文件）
- CSV - 包含所有字段的完整导出
- JSON - JSON格式的完整导出
结果数量：根据使用场景的特点确定

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：

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 leads found
File location and name
Key fields available
Suggested next steps (filtering, enrichment)

完成后，报告以下内容：

找到的销售线索数量
文件位置和名称
可用的关键字段
建议的后续步骤（筛选、信息丰富）

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

- 减小输入规模或增加

--timeout

参数