tracking-startup-founders-on-twitter

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Tracking Startup Founders On Twitter

追踪Twitter上的创业公司创始人

Executes tracking startup founders on twitter using apidojo scrapers. Part of the apidojo intelligence skills library.

借助apidojo爬虫实现对Twitter上创业公司创始人的追踪。属于apidojo智能技能库的一部分。

Prerequisites

前置条件

```
APIFY_TOKEN
```
environment variable set
Optional: Apify MCP server installed

设置
```
APIFY_TOKEN
```
环境变量
可选：安装Apify MCP服务器

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	Twitter profile or tweet URLs
`twitterHandles`	array	Optional	`[]`	Twitter usernames (without @)
`twitterUserIds`	array	Optional	`[]`	Twitter user IDs
`getFollowers`	boolean	Optional	`false`	Extract follower lists
`getFollowing`	boolean	Optional	`false`	Extract following lists
`getRetweeters`	boolean	Optional	`false`	Extract retweeters of a tweet URL
`includeUnavailableUsers`	boolean	Optional	`false`	Include unavailable/suspended users
`maxItems`	number	Optional	Unlimited	Maximum users to return
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

参数	类型	是否必填	默认值	说明
`startUrls`	数组	可选	`[]`	Twitter个人主页或推文URL
`twitterHandles`	数组	可选	`[]`	Twitter用户名（不含@）
`twitterUserIds`	数组	可选	`[]`	Twitter用户ID
`getFollowers`	布尔值	可选	`false`	提取粉丝列表
`getFollowing`	布尔值	可选	`false`	提取关注列表
`getRetweeters`	布尔值	可选	`false`	提取推文的转发者列表
`includeUnavailableUsers`	布尔值	可选	`false`	包含不可用/被封禁的用户
`maxItems`	数字	可选	无限制	返回的最大用户数量
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

Workflow

工作流程

Progress:
- [ ] Step 1: Define parameters
- [ ] Step 2: Run twitter-user-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output

进度:
- [ ] 步骤1：定义参数
- [ ] 步骤2：运行twitter-user-scraper
- [ ] 步骤3：筛选并分类结果
- [ ] 步骤4：按质量和相关性评分
- [ ] 步骤5：交付输出结果

Step 2: Run the Actor

步骤2：运行Actor

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

bash

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推荐方式 — run_actor.js（自动处理等待、输出和文件保存）：

bash

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Quick answer (prints table to chat)

快速返回结果（在聊天中打印表格）

node scripts/run_actor.js
--actor "apidojo~twitter-user-scraper"
--input '{"param": "value"}'

Save as CSV

保存为CSV格式

node scripts/run_actor.js
--actor "apidojo~twitter-user-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.csv --format csv

Save as JSON

保存为JSON格式

node scripts/run_actor.js
--actor "apidojo~twitter-user-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN` must be set in environment or `.env` file.

**If Apify MCP is available:**

Tool: apify:run-actor Actor: "apidojo~twitter-user-scraper" Input: { "searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"], "maxItems": 100 }


**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"], "maxItems": 100}'

Wait for

SUCCEEDED

. Fetch dataset:

bash

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

node scripts/run_actor.js
--actor "apidojo~twitter-user-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN`必须在环境变量或`.env`文件中配置。

**若Apify MCP可用：**

工具: apify:run-actor Actor: "apidojo~twitter-user-scraper" 输入: { "searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"], "maxItems": 100 }


**REST API备选方案：**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"], "maxItems": 100}'

等待运行状态变为

SUCCEEDED

。获取数据集：

bash

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

Step 3: Classify Results

步骤3：分类结果

classification: EARLY_STAGE (< 1K followers, building in public) | SEED_STAGE (1K-10K, active fundraising signals) | GROWTH_STAGE (> 10K, scaling)

分类标准: EARLY_STAGE（粉丝数<1K，公开创业）| SEED_STAGE（粉丝数1K-10K，有活跃融资信号）| GROWTH_STAGE（粉丝数>10K，处于扩张阶段）

Step 4: Score Each Result

步骤4：为每个结果评分

score = founder_signal_score = (bio_contains_founder_title ? 1 : 0) * 0.35 + (recent_product_tweet ? 1 : 0) * 0.35 + min(followerCount/10000, 1) * 0.30

score = founder_signal_score = (个人简介包含创始人头衔 ? 1 : 0) * 0.35 + (近期发布产品相关推文 ? 1 : 0) * 0.35 + min(followerCount/10000, 1) * 0.30

Step 5: Edge Cases

步骤5：边缘情况处理

Many 'founder' accounts are actually solopreneurs or side-project builders — not venture-backed; verify by looking for funding mentions or accelerator affiliations in bio

Additional fallbacks:

< 20 results: Broaden search terms; remove secondary filters
No results: Verify the search terms are correct; try alternate phrasings
Data quality issues: Remove entries with missing key fields; note count in output

许多标注为“创始人”的账号实际上是个体创业者或副业项目开发者，并非风险投资支持的创业公司；可通过查看个人简介中的融资提及或加速器合作信息来验证

其他备选方案:

结果不足20条：扩大搜索词范围；移除次要筛选条件
无结果返回：验证搜索词是否正确；尝试其他表述方式
数据质量问题：移除关键字段缺失的条目；在输出中注明缺失数量

Output Format

输出格式

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Tracking Startup Founders On Twitter

追踪Twitter上的创业公司创始人

Results: [N] | Date: [DATE]

#	[Key Field]	[Metric 1]	[Metric 2]	[Classification]	[Score]
1	[value]	[value]	[value]	[type]	[0.XX]

结果数量: [N] | 日期: [DATE]

序号	[关键字段]	[指标1]	[指标2]	[分类]	[评分]
1	[值]	[值]	[值]	[类型]	[0.XX]

Summary

总结

Top result: [description] Key finding: [insight]

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排名第一的结果: [描述] 关键发现: [洞察]

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Troubleshooting

故障排除

Too few results: Broaden the primary search term; remove restrictive filters. Low quality results: Apply minimum score threshold (≥ 0.50) to filter noise. Actor fails to run: Verify API key; check actor status at apify.com/apidojo.

结果数量过少：扩大核心搜索词范围；移除限制性筛选条件。 结果质量较低：应用最低评分阈值（≥0.50）过滤无效数据。 Actor运行失败：验证API密钥；查看apidojo.com上的Actor状态。