Job Tracker

Job Tracker

Scrape job listings from multiple sources, normalize into a structured format, and maintain a searchable job pipeline. Extracts salary ranges, requirements, hiring signals, and application status.

Output directory: ~/Desktop/job-tracker/ (persistent pipeline)

What It Extracts

Per Job Listing

• Job title and seniority level
• Company name and size
• Location / remote policy
• Salary range (if listed)
• Required skills and years of experience
• Nice-to-have skills
• Job description (summarized)
• Application URL
• Posted date / closing date
• Hiring manager (if findable)

Hiring Signals (per company)

• Number of open roles → growth signal
• Roles by department → which teams are expanding
• Role changes over time → track what a company is building

Data Sources

Pipeline

Step 1: Find Job Listings at a Company

# Check ATS directly (no browser needed — clean JSON)
# Greenhouse
curl -s "https://boards-api.greenhouse.io/v1/boards/{COMPANY_SLUG}/jobs" \
  | node -e "
    const d = JSON.parse(require('fs').readFileSync('/dev/stdin','utf8'));
    d.jobs.forEach(j => console.log(j.id, j.title, j.location?.name));
  "

# Lever
curl -s "https://api.lever.co/v0/postings/{COMPANY_SLUG}?mode=json" \
  | node -e "
    const jobs = JSON.parse(require('fs').readFileSync('/dev/stdin','utf8'));
    jobs.forEach(j => console.log(j.text, j.categories?.location, j.hostedUrl));
  "

# Ashby
curl -s "https://jobs.ashbyhq.com/api/non-user-graphql" \
  -H "Content-Type: application/json" \
  -d '{"operationName":"ApiJobBoardWithTeams","variables":{"organizationHostedJobsPageName":"{SLUG}"},"query":"query ApiJobBoardWithTeams($organizationHostedJobsPageName: String!) { jobBoard: jobBoardWithTeams(organizationHostedJobsPageName: $organizationHostedJobsPageName) { jobPostings { id title departmentName locationName employmentType } } }"}'

Step 2: Company careers page (fallback when no ATS API)

Try fetch first; fall back to the browser if the page is JS-rendered:

composio execute COMPOSIO_SEARCH_FETCH_URL_CONTENT -d '{
  "urls": ["{COMPANY_URL}/careers"], "max_characters": 30000
}'

# Fallback
composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Capture every visible role: title, team/department, location, employment type, and the apply URL. Return a JSON array.",
  "startUrl": "{COMPANY_URL}/careers"
}'

Step 3: Extract job details

composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Extract: title, seniority, location / remote policy, salary range (low/high/currency) if shown, required skills with years, nice-to-have skills, and the full tech stack mentioned. Return as JSON.",
  "startUrl": "{JOB_POSTING_URL}"
}'

Step 4: LinkedIn Jobs

composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Capture the first 25 results: title, company, location, posted date, and apply URL. Stop on any auth wall — do not bypass.",
  "startUrl": "https://www.linkedin.com/jobs/search/?keywords={ROLE}&f_C={COMPANY_ID}"
}'

Step 5: Track Application Status

Maintain ~/Desktop/job-tracker/pipeline.json:

node -e "
  const fs = require('fs');
  const pipeline = JSON.parse(fs.readFileSync('pipeline.json', 'utf8') || '[]');
  pipeline.push({
    company: '{COMPANY}',
    role: '{ROLE}',
    url: '{URL}',
    salary: '{SALARY}',
    status: 'applied',   // applied | screen | interview | offer | rejected
    applied_at: new Date().toISOString(),
    notes: '{NOTES}'
  });
  fs.writeFileSync('pipeline.json', JSON.stringify(pipeline, null, 2));
"

Output Format

Job Listing (raw/{company}-{role}.md)

---
company: {Name}
role: {Title}
seniority: {IC1 / IC2 / Senior / Staff / Principal}
location: {City / Remote / Hybrid}
salary_min: {N}
salary_max: {N}
ats: {greenhouse / lever / ashby / custom}
url: {application URL}
posted: {date}
status: {not_applied / applied / interviewing / offer / rejected}
---

## Summary
{2-3 sentence summary of the role}

## Required Skills
- {skill} ({years} years)
- {skill}

## Nice to Have
- {skill}
- {skill}

## Stack Mentioned
{tech1}, {tech2}, {tech3}

## Red Flags / Green Flags
- ✅ {positive signal}
- 🚩 {concern}

Pipeline Dashboard (pipeline.json)

[
  {
    "company": "Acme",
    "role": "Senior Engineer",
    "salary": "$180K-$220K",
    "status": "interview",
    "applied_at": "2026-05-01",
    "next_step": "Technical round May 10"
  }
]

Key Use Cases

1. Job search pipeline — track all applications in one place
2. Hiring signal detection — monitor a company's open roles over time
3. Competitive intelligence — what is competitor X hiring for?
4. Salary research — aggregate salary ranges across similar roles
5. Recruiter research — find who's hiring in your target companies