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Original

English
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Translation

Chinese

Finding Marketing Professionals And Growth Specialists on Twitter

在Twitter上寻找营销专业人士与增长领域专家

Discovers marketing professionals and growth specialists on Twitter via skill keywords, portfolio/project signals, and open-to-work indicators. Twitter surfaces professionals who actively discuss their craft — a strong passive candidate signal.
通过技能关键词、作品集/项目信号以及求职意向标识，在Twitter上发掘营销专业人士与增长领域专家。Twitter会展示那些积极讨论自身专业领域的从业者——这是一个很强的被动候选人信号。

Prerequisites

前提条件

  • 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

ParameterTypeRequiredDefaultNotes
startUrls
arrayOptional
[]
Twitter profile or tweet URLs
twitterHandles
arrayOptional
[]
Twitter usernames (without @)
twitterUserIds
arrayOptional
[]
Twitter user IDs
getFollowers
booleanOptional
false
Extract follower lists
getFollowing
booleanOptional
false
Extract following lists
getRetweeters
booleanOptional
false
Extract retweeters of a tweet URL
includeUnavailableUsers
booleanOptional
false
Include unavailable/suspended users
maxItems
numberOptionalUnlimitedMaximum users to return
customMapFunction
stringOptional—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URL的转发者
includeUnavailableUsers
布尔值可选
false
包含不可用/被封禁用户
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: Search for role-specific tweets
- [ ] Step 2: Collect unique handles
- [ ] Step 3: Enrich profiles
- [ ] Step 4: Score candidate fit
- [ ] Step 5: Deliver candidate list
Progress:
- [ ] Step 1: Search for role-specific tweets
- [ ] Step 2: Collect unique handles
- [ ] Step 3: Enrich profiles
- [ ] Step 4: Score candidate fit
- [ ] Step 5: Deliver candidate list

Step 1: Search Queries

步骤1：搜索查询

Recommended — run_actor.js (handles waiting, output, and file saving automatically):
bash
undefined
推荐方式 — run_actor.js（自动处理等待、输出和文件保存）：
bash
undefined

Quick answer (prints table to chat)

Quick answer (prints table to chat)

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

Save as CSV

Save as CSV

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

Save as JSON

Save as JSON

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~tweet-scraper" Input: { "searchTerms": ["growth marketer", "VP Marketing", "marketing open to work", "content marketing jobs"], "maxItems": 300, "tweetLanguage": "en" }

**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["growth marketer", "VP Marketing", "marketing open to work", "content marketing jobs"], "maxItems": 300}'
Collect unique 
author.username
from results.
node scripts/run_actor.js
--actor "apidojo~twitter-user-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json
> 必须在环境变量或`.env`文件中设置`APIFY_TOKEN`。

**若Apify MCP可用：**
Tool: apify:run-actor Actor: "apidojo~tweet-scraper" Input: { "searchTerms": ["growth marketer", "VP Marketing", "marketing open to work", "content marketing jobs"], "maxItems": 300, "tweetLanguage": "en" }

**REST API备选方案：**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["growth marketer", "VP Marketing", "marketing open to work", "content marketing jobs"], "maxItems": 300}'
从结果中收集唯一的
author.username
。

Step 2: Enrich Profiles

步骤2：丰富个人资料

If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input: {"usernames": ["[username1]", "[username2]", "..."]}
REST API fallback:
bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"usernames": ["handle1", "handle2"]}'
若Apify MCP可用：
Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input: {"usernames": ["[username1]", "[username2]", "..."]}
REST API备选方案：
bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"usernames": ["handle1", "handle2"]}'

Step 3: Filter and Score

步骤3：筛选与评分

Skill confirmation: bio contains keywords: "growth", "marketing", "CMO", "demand gen", "content", "SEO", "paid media", "lifecycle", "GTM"
thought_leader_signal = followerCount > 1000 AND tweets in last 30 days about marketing topics
Candidate score:
candidate_score = (skill_confirmed ? 1 : 0) * 0.35
                + (open_to_work_signal ? 1 : 0) * 0.30
                + (followerCount in 200..20000 ? 1 : 0.6) * 0.20
                + (tweeted_in_last_30_days ? 1 : 0) * 0.15
Activity: active (< 30 days) | passive (30–90 days) | dormant (> 90 days)
技能确认： 个人简介包含以下关键词："growth"、"marketing"、"CMO"、"demand gen"、"content"、"SEO"、"paid media"、"lifecycle"、"GTM"
意见领袖信号 = 粉丝数 > 1000 且 过去30天内发布过营销相关推文
候选人评分：
candidate_score = (skill_confirmed ? 1 : 0) * 0.35
                + (open_to_work_signal ? 1 : 0) * 0.30
                + (followerCount in 200..20000 ? 1 : 0.6) * 0.20
                + (tweeted_in_last_30_days ? 1 : 0) * 0.15
活跃度：活跃（<30天）| 被动（30–90天）| 休眠（>90天）

Step 4: Edge Cases

步骤4：边缘情况处理

  • Company/brand accounts in results: Filter where 
    followerCount > 50K
    AND bio contains no personal pronouns; these are likely brand accounts
  • < 20 candidates found: Broaden skill term; remove location or seniority filter; try adjacent skills
  • Bot detection: Flag 
    followerCount / followingCount < 0.05
    AND 
    tweetsCount < 20
    as potential bot
  • Location not matching: Bio location is free text — use fuzzy match; accept partial city/country names
  • 结果中出现企业/品牌账号：筛选掉
    粉丝数 > 50K
    且个人简介不含人称代词的账号，这些很可能是品牌账号
  • 找到的候选人不足20人：扩大技能关键词范围；移除地域或资历筛选；尝试相关技能关键词
  • 机器人检测：标记
    粉丝数 / 关注数 < 0.05
    且
    推文数 < 20
    的账号为潜在机器人
  • 地域不匹配：个人简介中的地域为自由文本——使用模糊匹配；接受部分城市/国家名称

Output Format

输出格式

undefined
undefined

Marketing Professionals And Growth Specialists Candidates: [MARKETING_SPECIALTY]

Marketing Professionals And Growth Specialists Candidates: [MARKETING_SPECIALTY]

Profiles found: [N] | Open-to-work: [N] | Active: [N] | Date: [DATE]
Profiles found: [N] | Open-to-work: [N] | Active: [N] | Date: [DATE]

Priority: Open-to-Work Candidates

Priority: Open-to-Work Candidates

Name@HandleSpecialtyLocationFollowersLast ActiveScore
Name@HandleSpecialtyLocationFollowersLast ActiveScore

Passive Candidates

Passive Candidates

Name@HandleSpecialtyLocationFollowersScore
Name@HandleSpecialtyLocationFollowersScore

Bio Highlights (Top 5)

Bio Highlights (Top 5)

  1. @[handle]: "[bio excerpt]"
undefined
  1. @[handle]: "[bio excerpt]"
undefined

Troubleshooting

故障排除

All results are agencies/companies not individuals: Add personal pronouns filter or search 
"I am a [role]"
, 
"I do [skill]"
. Role too generic returns too many results: Add location OR seniority qualifier. No open-to-work signals: Most candidates don't signal publicly — treat passive candidates as warm leads with personalized outreach referencing their recent content.
所有结果均为机构/企业账号而非个人账号：添加人称代词筛选，或搜索
"I am a [role]"
、
"I do [skill]"
。 职位过于宽泛导致结果过多：添加地域或资历限定条件。 无求职意向信号：大多数候选人不会公开表明求职意向——将被动候选人视为潜在客户，结合他们近期的内容进行个性化沟通。