finding-saas-company-leads-twitter

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English

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Finding SaaS Company Leads on Twitter

在Twitter上获取SaaS公司线索

Discovers SaaS companies and software product accounts via Twitter signals — product launches, feature announcements, founder activity, and niche-specific hashtags. Twitter is where early-stage B2B SaaS companies are most active before establishing a formal web presence.

通过Twitter信号（产品上线、功能更新、创始人动态及细分领域话题标签）发现SaaS公司及软件产品账号。Twitter是早期B2B SaaS公司在建立正式网络存在感之前最活跃的平台。

Prerequisites

前提条件

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

已设置
```
APIFY_TOKEN
```
环境变量
可选：已安装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
`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: Build keyword and hashtag search list for vertical
- [ ] Step 2: Run tweet-scraper to find active companies
- [ ] Step 3: Extract unique company handles
- [ ] Step 4: Enrich via twitter-user-scraper
- [ ] Step 5: Score and classify by stage
- [ ] Step 6: Deliver lead list

进度：
- [ ] 步骤1：为垂直领域构建关键词和话题标签搜索列表
- [ ] 步骤2：运行tweet-scraper查找活跃公司
- [ ] 步骤3：提取唯一的公司账号
- [ ] 步骤4：通过twitter-user-scraper丰富信息
- [ ] 步骤5：按阶段评分和分类
- [ ] 步骤6：交付线索列表

Step 1: Search Keywords

步骤1：搜索关键词

Build from vertical. Example for "project management SaaS":

Keywords: ["project management software", "PM tool", "#pmtools", "task management SaaS",
           "launched a product", "we built", "try our tool", "project management app"]

Standard SaaS signal phrases (always include):

["just launched", "we built", "our product", "sign up free", "#buildinpublic",
 "new feature", "we're hiring", "Series A", "product update", "[vertical] tool"]

根据垂直领域构建。以“项目管理SaaS”为例：

关键词：["project management software", "PM tool", "#pmtools", "task management SaaS",
           "launched a product", "we built", "try our tool", "project management app"]

标准SaaS信号短语（需始终包含）：

["just launched", "we built", "our product", "sign up free", "#buildinpublic",
 "new feature", "we're hiring", "Series A", "product update", "[vertical] tool"]

Step 2: Run tweet-scraper

步骤2：运行tweet-scraper

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)

快速输出（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

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

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": ["[VERTICAL] software", "[VERTICAL] SaaS", "[VERTICAL] tool launch", "we built [VERTICAL]"], "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": ["HR tech SaaS", "HR software launch", "we built HR tool"],
    "maxItems": 300
  }'

Collect unique

author.username

values.

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`。

**如果Apify MCP可用：**

工具：apify:run-actor Actor: "apidojo~tweet-scraper" 输入： { "searchTerms": ["[VERTICAL] software", "[VERTICAL] SaaS", "[VERTICAL] tool launch", "we built [VERTICAL]"], "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": ["HR tech SaaS", "HR software launch", "we built HR tool"],
    "maxItems": 300
  }'

收集唯一的

author.username

值。

Step 3: Enrich Profiles

步骤3：丰富个人主页信息

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input:
{
  "usernames": ["[username1]", "[username2]", "...up to 100 usernames"]
}

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"]}'

如果Apify MCP可用：

工具：apify:run-actor
Actor: "apidojo~twitter-user-scraper"
输入：
{
  "usernames": ["[username1]", "[username2]", "...最多100个用户名"]
}

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 4: Filter and Classify

步骤4：筛选与分类

Is a SaaS company? Keep if bio contains:

Product keywords: "software", "SaaS", "platform", "app", "tool", "API", "dashboard"
Launch signals: "try", "sign up", "free trial", "beta"
Funding signals: "backed by", "YC", "Techstars", "seed", "Series A/B"

Stage classification from followerCount:

early: followerCount < 1,000
growing: 1,000–10,000
established: > 10,000

Company score:

lead_score = (is_saas_signal ? 1 : 0) * 0.40
           + (has_website ? 1 : 0) * 0.25
           + (tweeted_in_last_30_days ? 1 : 0) * 0.20
           + min(followerCount / 5000, 1) * 0.15

是否为SaaS公司？ 如果简介包含以下内容则保留：

产品关键词："software", "SaaS", "platform", "app", "tool", "API", "dashboard"
上线信号："try", "sign up", "free trial", "beta"
融资信号："backed by", "YC", "Techstars", "seed", "Series A/B"

根据粉丝数量进行阶段分类：

早期：followerCount < 1,000
成长中：1,000–10,000
成熟：> 10,000

公司评分：

lead_score = (is_saas_signal ? 1 : 0) * 0.40
           + (has_website ? 1 : 0) * 0.25
           + (tweeted_in_last_30_days ? 1 : 0) * 0.20
           + min(followerCount / 5000, 1) * 0.15

Step 5: Edge Cases

步骤5：边缘情况处理

Personal accounts return instead of company: Filter — prefer accounts where
```
name
```
!=
```
username
```
and bio describes a product; deprioritize accounts with personal pronouns in bio ("I build...")
< 20 companies found: Widen vertical keywords; try hashtags
```
#buildinpublic
```
,
```
#indiehacker
```
,
```
#saas
```
directly
Duplicate company (founder + company account both found): Keep company account; link to founder handle as contact

返回个人账号而非公司账号：筛选规则——优先选择
```
name
```
!=
```
username
```
且简介描述产品的账号；降低简介中包含人称代词（如"I build..."）的账号优先级
找到的公司不足20家：扩大垂直领域关键词范围；直接尝试话题标签
```
#buildinpublic
```
,
```
#indiehacker
```
,
```
#saas
```
重复公司（同时找到创始人账号和公司账号）：保留公司账号；将创始人账号作为联系方式关联

Output Format

输出格式

undefined

undefined

SaaS Company Leads: [VERTICAL]

SaaS公司线索：[VERTICAL]

Companies found: [N] | Early: [N] | Growing: [N] | Established: [N] | Date: [DATE]

找到的公司数量：[N] | 早期：[N] | 成长中：[N] | 成熟：[N] | 日期：[DATE]

Growing-Stage Companies (Best Outreach Window)

成长阶段公司（最佳拓展窗口）

Company	Handle	Product	Stage	Followers	Website	Score
[name]	@[handle]	[1-line description from bio]	Growing	[N]	[url]	[0.XX]

公司名称	账号	产品	阶段	粉丝数	官网	评分
[name]	@[handle]	[来自简介的一行描述]	成长中	[N]	[url]	[0.XX]

Early-Stage (High Receptivity)

早期阶段（高响应度）

Company	Handle	Product	Followers	Last Active

公司名称	账号	产品	粉丝数	最后活跃时间

Established (Formal Sales Cycle)

成熟阶段（正式销售周期）

Company	Handle	Product	Followers	Website

undefined

公司名称	账号	产品	粉丝数	官网

undefined

Troubleshooting

故障排除

Results are mostly personal accounts: Add

"software" OR "app" OR "platform"

to search and filter aggressively by bio keywords. Vertical too broad (returns 500+ companies): Narrow to a sub-vertical (e.g., "project management" → "async project management for remote teams"). Companies inactive (last tweet > 60 days): Flag as potentially dormant; cross-reference product website for active status.

结果大多为个人账号：在搜索中添加

"software" OR "app" OR "platform"

，并根据简介关键词严格筛选。 垂直领域过宽（返回500+家公司）：缩小至子垂直领域（例如："项目管理" → "面向远程团队的异步项目管理"）。 公司不活跃（最后一条推文超过60天）：标记为可能已休眠；交叉验证产品官网的活跃状态。