job-posting-intent

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Chinese

Job Posting Intent Detection

招聘信息意向检测

Find companies that are hiring for roles related to the problem you solve. A job posting is a budget signal — the company has allocated money to solve a problem your product addresses.

Results are automatically exported to a Google Sheet with signal strength, decision-maker suggestions, outreach angles, and personalization context.

寻找正在招聘与你业务解决领域相关岗位的企业。招聘信息是一种预算信号——意味着该企业已经划拨资金，用于解决你的产品能够应对的问题。

结果会自动导出到Google Sheet中，包含信号强度、决策人建议、客户开发沟通角度以及个性化背景信息。

Why This Works

为什么这种方法有效

When a company posts a job, they've:

Allocated budget (headcount is expensive)
Acknowledged the problem exists
Started actively solving it

If your product helps solve that problem faster, cheaper, or better than a hire alone, the timing is perfect.

当企业发布招聘信息时，说明他们已经：

划拨了预算（招聘员工成本高昂）
意识到问题的存在
开始积极解决问题

如果你的产品能够比单独招聘员工更快、更便宜、更好地解决该问题，那么现在就是绝佳的触达时机。

Cost

成本说明

Apify Actor:

harvestapi/linkedin-job-search

(pay-per-event)

Component	Cost
Actor start (per run)	$0.001
Per job result	$0.001
Apify platform fee	+20%

Typical run costs:

Scenario	Titles	Jobs/title	Runs	Est. Cost
Quick scan	3	25	3	~$0.09
Standard	5	25	5	~$0.16
Deep search	5	100	5	~$0.60
Multi-location	5×3	25	15	~$0.47

Google Sheet creation is free (uses Rube/Composio integration).

Always run

--estimate-only

first to see the Apify cost before executing.

Track usage: https://console.apify.com/billing

Apify Actor：

harvestapi/linkedin-job-search

（按事件付费）

组件	成本
Actor启动（每次运行）	$0.001
每条招聘信息结果	$0.001
Apify平台服务费	+20%

典型运行成本：

场景	岗位数量	每个岗位的招聘信息数	运行次数	预估成本
快速扫描	3	25	3	~$0.09
标准扫描	5	25	5	~$0.16
深度搜索	5	100	5	~$0.60
多地区搜索	5×3	25	15	~$0.47

Google Sheet创建是免费的（使用Rube/Composio集成）。

执行前请务必先运行

--estimate-only

查看Apify成本预估。

查看使用情况：https://console.apify.com/billing

Setup

配置步骤

1. Apify API Token

1. Apify API 令牌

bash

undefined

bash

undefined

Get your token at https://console.apify.com/account/integrations

export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"

undefined

export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"

undefined

2. Install dependencies

2. 安装依赖

bash

pip3 install requests

bash

pip3 install requests

3. Rube/Composio (for Google Sheets)

3. Rube/Composio（用于Google Sheet）

Google Sheet creation uses Rube MCP with Composio. The token is preconfigured. If it stops working, update the

RUBE_TOKEN

env var or the default in

search_jobs.py

Google Sheet创建使用Rube MCP与Composio集成，令牌已预先配置。如果令牌失效，请更新

RUBE_TOKEN

环境变量或

search_jobs.py

中的默认值。

Usage

使用方法

Step 1: Define your ICP and target titles

步骤1：定义你的理想客户画像（ICP）和目标岗位名称

Think about it this way: "If a company is hiring for [role], it means they're investing in [problem area you solve]."

Examples:

GTM agency: "Growth Marketing Manager", "SDR Manager", "RevOps Engineer", "GTM Engineer"
AI dev tools: "AI Engineer", "ML Ops Engineer", "Prompt Engineer", "LLM Engineer"
Sales automation: "SDR", "BDR Manager", "Sales Ops", "Revenue Operations"

你可以这样思考："如果某企业正在招聘[岗位]，说明他们正在投入资源解决[你业务覆盖的问题领域]。"

示例：

GTM代理机构："Growth Marketing Manager", "SDR Manager", "RevOps Engineer", "GTM Engineer"
AI开发工具："AI Engineer", "ML Ops Engineer", "Prompt Engineer", "LLM Engineer"
销售自动化："SDR", "BDR Manager", "Sales Ops", "Revenue Operations"

Step 2: Estimate cost

步骤2：预估成本

bash

python3 scripts/search_jobs.py \
  --titles "GTM Engineer,SDR Manager,Head of Demand Gen" \
  --locations "United States" \
  --max-per-title 25 \
  --estimate-only

bash

python3 scripts/search_jobs.py \
  --titles "GTM Engineer,SDR Manager,Head of Demand Gen" \
  --locations "United States" \
  --max-per-title 25 \
  --estimate-only

Step 3: Run the search

步骤3：运行搜索

The script searches LinkedIn Jobs, groups results by company, qualifies leads, and creates a Google Sheet automatically.

bash

undefined

脚本会搜索LinkedIn Jobs，按企业分组结果，对线索进行资质审核，并自动创建Google Sheet。

bash

undefined

Standard search (creates Google Sheet)

标准搜索（创建Google Sheet）

python3 scripts/search_jobs.py
--titles "GTM Engineer,SDR Manager,RevOps Engineer"
--locations "United States"
--max-per-title 25

Deep search with custom sheet name

深度搜索并自定义Sheet名称

python3 scripts/search_jobs.py
--titles "AI Engineer,ML Ops Engineer,Prompt Engineer"
--locations "United States"
--max-per-title 50
--sheet-name "AI Hiring Signals - Feb 2026"

Filter results to only relevant titles (LinkedIn search is fuzzy)

过滤结果至真正相关的招聘信息（LinkedIn搜索为模糊匹配）

python3 scripts/search_jobs.py
--titles "GTM Engineer,Growth Marketing Manager,SDR Manager"
--locations "United States"
--relevance-keywords "gtm,growth,sdr,marketing,demand gen,revops"

Also save raw JSON alongside the sheet

同时将原始JSON保存至文件

python3 scripts/search_jobs.py
--titles "GTM Engineer,SDR Manager"
--locations "United States"
--output results.json

Skip Google Sheet, console + JSON only

跳过Google Sheet，仅输出至控制台和JSON

python3 scripts/search_jobs.py
--titles "GTM Engineer"
--no-sheet --json

undefined

python3 scripts/search_jobs.py
--titles "GTM Engineer"
--no-sheet --json

undefined

What the Script Does

脚本功能说明

Searches LinkedIn Jobs for each title/location combination via Apify
Groups results by company (deduplicates)
Computes signal strength based on number of relevant postings + seniority
Extracts personalization context from job descriptions (tech stack, growth signals, pain points)
Suggests decision-maker title (one level above the hired role)
Suggests outreach angle (accelerate / replace / multiply the hire)
Creates a Google Sheet with all qualified leads
Prints a console summary of all companies found

搜索：通过Apify在LinkedIn Jobs中搜索每个岗位名称/地点组合
分组：按企业对结果进行分组（去重）
计算信号强度：根据相关招聘信息数量和岗位级别计算
提取个性化背景信息：从招聘描述中提取技术栈、增长信号、痛点等
建议决策人岗位：建议联系的岗位（比招聘岗位高一级）
建议客户开发沟通角度：加速招聘成果/替代招聘/放大招聘价值
创建Google Sheet：包含所有合格线索
控制台汇总：打印所有找到的企业的汇总信息

Options Reference

参数选项参考

Required:
  --titles              Comma-separated job titles to search

Optional:
  --locations           Comma-separated locations (default: no filter)
  --max-per-title       Max jobs per title per location (default: 25)
  --posted-limit        Recency: 1h, 24h, week, month (default: week)
  --output, -o          Also save raw JSON to this file path
  --json                Print JSON output to console
  --estimate-only       Show cost estimate without running
  --no-sheet            Skip Google Sheet creation
  --sheet-name          Custom Google Sheet title (default: "Job Posting Intent Signals - {date}")
  --relevance-keywords  Comma-separated keywords to filter truly relevant postings

Required:
  --titles              Comma-separated job titles to search

Optional:
  --locations           Comma-separated locations (default: no filter)
  --max-per-title       Max jobs per title per location (default: 25)
  --posted-limit        Recency: 1h, 24h, week, month (default: week)
  --output, -o          Also save raw JSON to this file path
  --json                Print JSON output to console
  --estimate-only       Show cost estimate without running
  --no-sheet            Skip Google Sheet creation
  --sheet-name          Custom Google Sheet title (default: "Job Posting Intent Signals - {date}")
  --relevance-keywords  Comma-separated keywords to filter truly relevant postings

Google Sheet Columns

Google Sheet 列说明

Column	Description
Signal	HIGH / MEDIUM / LOW based on # postings + seniority
Company	Company name
Employees	Employee count
Industry	Company industry
Website	Company website
LinkedIn	Company LinkedIn URL
# Postings	Number of relevant job postings found
Job Titles	The actual job titles posted
Job URL	Link to the primary job posting
Location	Job location(s)
Decision Maker	Suggested title of person to contact
Outreach Angle	Accelerate / Replace / Multiply the hire
Tech Stack	Technologies mentioned in job descriptions
Growth Signals	Growth indicators (first hire, scaling, series stage)
Pain Points	Pain indicators (automate, optimize, manual processes)
Description	Company description snippet

列名	说明
信号强度	根据招聘信息数量+岗位级别分为HIGH/MEDIUM/LOW
企业名称	企业全称
员工数量	企业员工规模
行业	企业所属行业
官网	企业官方网站
LinkedIn	企业LinkedIn主页链接
招聘信息数量	找到的相关招聘信息总数
岗位名称	实际发布的岗位名称
招聘链接	主要招聘信息的链接
地点	招聘岗位的工作地点
建议决策人	建议联系的岗位名称
沟通角度	加速招聘成果/替代招聘/放大招聘价值
技术栈	招聘描述中提到的技术栈
增长信号	增长指标（首次招聘、规模扩张、融资阶段）
痛点	痛点指标（自动化、优化、手动流程）
企业简介	企业简介片段

AI Agent Integration

AI Agent 集成

When using this skill as an agent, the typical flow is:

User describes their product and the types of roles that signal intent
Agent runs
```
--estimate-only
```
and confirms cost with user
Agent runs the search (Google Sheet is created automatically)
Agent shares the Google Sheet link with the user
Agent provides a brief summary of top leads and why they're qualified

Example prompt:

"Find companies hiring growth marketers and SDRs in the US this week. These are signals they need GTM help. We sell AI-powered GTM systems to Series A-C B2B SaaS companies with 20-200 employees."

The agent should NOT:

Do any outreach
Send any emails or messages
Contact anyone

The agent SHOULD:

Present cost estimate before running
Run the search (sheet is created automatically)
Share the Google Sheet link
Provide a brief summary of the top leads with reasoning

将该技能作为Agent使用时，典型流程如下：

用户描述其产品以及能够体现意向的岗位类型
Agent运行
```
--estimate-only
```
并与用户确认成本
Agent运行搜索（自动创建Google Sheet）
Agent与用户分享Google Sheet链接
Agent提供优质线索的简要汇总及资质判定依据

示例提示词：

"寻找本周在美国招聘增长营销人员和SDR的企业。这些信号表明他们需要GTM支持。我们为A-C轮、员工规模20-200人的B2B SaaS企业提供AI驱动的GTM系统。"

Agent不应：

执行任何客户开发动作
发送任何邮件或消息
联系任何人员

Agent应该：

运行前展示成本预估
执行搜索（自动创建Sheet）
分享Google Sheet链接
提供优质线索的简要汇总及判定依据

Outreach Angle Templates

客户开发沟通角度模板

The script auto-assigns an angle based on job posting context:

"Accelerate while you hire" — Best when: posting is recent, role is junior/mid

They're looking for someone to do X. Your product can deliver X outcomes while they ramp the hire.

"Replace the hire" — Best when: small company, "first hire" signals, building from scratch

They want the output of a [role] but may not need a full-time person if they use your product.

"Multiply the hire" — Best when: company is clearly scaling, multiple related roles

When their new hire starts, your product makes them 10x more effective from day one.

脚本会根据招聘信息背景自动分配沟通角度：

"在招聘期间加速成果" — 适用场景：招聘信息发布时间较近，岗位为初级/中级

他们正在寻找能够完成X任务的人员。你的产品可以在他们完成招聘前，快速交付X成果。

"替代招聘需求" — 适用场景：小型企业，"首次招聘"信号，从零搭建团队

他们需要[岗位]的产出，但如果使用你的产品，可能无需全职招聘该岗位人员。

"放大招聘价值" — 适用场景：企业明显在扩张，有多个相关岗位招聘

当新员工入职后，你的产品可以从第一天起就让他们的工作效率提升10倍。

Troubleshooting

问题排查

"No jobs found"

"未找到招聘信息"

Try broader titles (e.g., "marketing" instead of "demand generation specialist")
Extend the time window:
```
--posted-limit month
```
Remove location filter to search globally

尝试更宽泛的岗位名称（例如用"marketing"替代"demand generation specialist"）
扩大时间范围：
```
--posted-limit month
```
移除地点限制，进行全球搜索

"Too many irrelevant results"

"无关结果过多"

Use
```
--relevance-keywords
```
to filter by title keywords
LinkedIn's search is fuzzy — the grouping and qualification step helps filter

使用
```
--relevance-keywords
```
过滤真正相关的招聘信息
LinkedIn搜索为模糊匹配——分组和资质审核步骤会帮助过滤结果

"Google Sheet creation failed"

"Google Sheet创建失败"

Check that Rube MCP is accessible (the token may have expired)
Use
```
--no-sheet --json --output results.json
```
to save results without a sheet
You can create the sheet later with
```
scripts/create_sheet_mcp.py
```

检查Rube MCP是否可访问（令牌可能已过期）
使用
```
--no-sheet --json --output results.json
```
保存结果而不创建Sheet
你可以稍后使用
```
scripts/create_sheet_mcp.py
```
创建Sheet

High cost estimate

成本预估过高

Reduce
```
--max-per-title
```
(25 is usually enough)
Search fewer titles
Use
```
--posted-limit 24h
```
for a quick daily scan

减少
```
--max-per-title
```
（通常25个足够）
减少搜索的岗位数量
使用
```
--posted-limit 24h
```
进行每日快速扫描

job-posting-intent

Original

Translation

Job Posting Intent Detection

招聘信息意向检测

Why This Works

为什么这种方法有效

Cost

成本说明

Setup

配置步骤

1. Apify API Token

1. Apify API 令牌

Get your token at https://console.apify.com/account/integrations

Get your token at https://console.apify.com/account/integrations

2. Install dependencies

2. 安装依赖

3. Rube/Composio (for Google Sheets)

3. Rube/Composio（用于Google Sheet）

Usage

使用方法

Step 1: Define your ICP and target titles

步骤1：定义你的理想客户画像（ICP）和目标岗位名称

Step 2: Estimate cost

步骤2：预估成本

Step 3: Run the search

步骤3：运行搜索

Standard search (creates Google Sheet)

标准搜索（创建Google Sheet）

Deep search with custom sheet name

深度搜索并自定义Sheet名称

Filter results to only relevant titles (LinkedIn search is fuzzy)

过滤结果至真正相关的招聘信息（LinkedIn搜索为模糊匹配）

Also save raw JSON alongside the sheet

同时将原始JSON保存至文件

Skip Google Sheet, console + JSON only

跳过Google Sheet，仅输出至控制台和JSON

What the Script Does

脚本功能说明

Options Reference

参数选项参考

Google Sheet Columns

Google Sheet 列说明

AI Agent Integration

AI Agent 集成

Outreach Angle Templates

客户开发沟通角度模板

Troubleshooting

问题排查

"No jobs found"

"未找到招聘信息"

"Too many irrelevant results"

"无关结果过多"

"Google Sheet creation failed"

"Google Sheet创建失败"

High cost estimate

成本预估过高

Links

相关链接