Company Career Page Scraper

🏢 Company Career Page Scraper

The most comprehensive job scraping tool on Apify. Give it any company URL — it automatically discovers the career page, detects the ATS platform, extracts every job listing, and uses AI to enrich each record with structured skills, requirements, responsibilities, and more.

No configuration needed. No manual career page URLs. Just company homepages in, structured job data out.

✨ Features

• 🔍 Automatic Career Page Discovery — Finds career pages from any company homepage using ATS detection, common path heuristics, sitemap scanning, and link crawling. No need to find career URLs yourself.
• 🔌 Built-in ATS Adapters — Native support for Greenhouse, Lever, Ashby, and Workday. Extracts directly from their APIs for maximum speed and reliability.
• 🤖 AI-Powered Enrichment — Every job is enriched using OpenAI to extract structured skills, requirements, responsibilities, benefits, and salary from raw descriptions.
• 📍 Smart Location Parsing — Automatically normalizes locations into city, country, and remote status (yes/no/hybrid).
• 🎯 Seniority Detection — Detects seniority level (Intern → Junior → Mid → Senior → Staff → Lead → Executive) from job titles.
• ⚡ Fast & Efficient — ATS adapters pull from JSON APIs, not HTML scraping. Most companies complete in seconds.

🛠️ How It Works

1. Provide company URLs — Just homepages like https://stripe.com or https://notion.so
2. Automatic discovery — The scraper finds the career page and identifies the ATS platform
3. Job extraction — All open positions are extracted using the optimal adapter
4. AI enrichment — Each job description is analyzed by AI to extract structured fields
5. Get your data — Clean, normalized JSON with 25+ fields per job

🔌 Supported ATS Platforms

Platform	Method	Coverage
🌿 Greenhouse	JSON API	Thousands of companies (Figma, Stripe, Airbnb, ...)
🏗️ Ashby	JSON API	Fast-growing startups (Notion, Ramp, ...)
🎯 Lever	JSON API	Mid-market tech (Netflix, Navan, ...)
💼 Workday	HTML + API	Enterprise (Amazon, Walmart, Visa, ...)

More adapters coming soon: SmartRecruiters, iCIMS, Teamtailor, BambooHR, Personio, and others.

🤖 AI Enrichment — What Makes This Unique

Most job scrapers give you raw HTML and call it a day. This scraper goes further — every job is processed by OpenAI to extract:

Field	Description	Example
Skills	Technical and soft skills mentioned	["Python", "React", "Project Management"]
Requirements	Qualifications and experience needed	["5+ years experience", "BS in Computer Science"]
Responsibilities	Key duties and deliverables	["Design system architecture", "Mentor junior engineers"]
Benefits	Perks and compensation extras	["Health insurance", "401k", "Remote work"]
Salary	Compensation if mentioned	"$150,000 - $200,000 per year"

The AI only extracts what's explicitly stated — it never fabricates information. If a field isn't mentioned in the description, it returns empty.

Cost: AI enrichment uses a cost-optimized OpenAI model. A typical run of 1,000 jobs costs less than $0.50 in AI processing.

⚙️ Input Parameters

Parameter	Type	Default	Description
startUrls	array	required	Company homepage URLs to scrape
maxJobsPerCompany	integer	10	Maximum job listings per company
includeClosed	boolean	false	Include closed/expired positions
outputFormat	string	"jobs"	"jobs" for flat records, "companies" for grouped output

Input Example

{
    "startUrls": [
        { "url": "https://www.notion.so" },
        { "url": "https://www.figma.com" },
        { "url": "https://www.stripe.com" }
    ],
    "maxJobsPerCompany": 50
}

📊 Output Example

Each job is a fully normalized JSON record with 25+ fields:

{
    "companyDomain": "notion.so",
    "companyName": "Notion",
    "source": "ashby",
    "careersUrl": "https://jobs.ashbyhq.com/notion",
    "jobId": "ashby-34664867-7190-479c-8a8c-2a9612b532ea",
    "title": "Senior Stock Plan Administrator",
    "location": "San Francisco, California",
    "locationCity": "San Francisco",
    "locationCountry": "United States",
    "remote": "unknown",
    "employmentType": "Full-time",
    "department": "Legal",
    "seniority": "Senior",
    "postedAt": "2026-02-05T22:23:45.355+00:00",
    "applyUrl": "https://jobs.ashbyhq.com/notion/34664867.../application",
    "skills": [
        "Equity compensation administration",
        "CEP designation",
        "Knowledge of equity plan types",
        "Securities regulations",
        "Equity administration software",
        "Project management"
    ],
    "requirements": [
        "8+ years of experience in equity compensation administration",
        "Current or prior CEP designation"
    ],
    "responsibilities": [
        "Administer all aspects of equity compensation programs",
        "Maintain accurate records of all equity grants",
        "Ensure compliance with SEC regulations",
        "Prepare equity compensation reports for leadership"
    ],
    "benefits": [],
    "salary": "$200,000 - $240,000 per year",
    "descriptionText": "...",
    "descriptionHtml": "...",
    "scrapedAt": "2026-02-08T09:13:46.981Z"
}

💡 Use Cases

• Recruiting Intelligence — Monitor competitors' hiring to understand their strategy and growth areas
• Job Market Research — Analyze skill demand, salary trends, and location patterns across industries
• Lead Generation — Identify companies actively hiring for specific roles or technologies
• HR Tech & Job Boards — Aggregate listings from thousands of companies into a single feed
• Investment Research — Track hiring velocity as a signal for company growth and health
• Academic Research — Study labor market trends, skill requirements, and employment patterns at scale

Start monitoring the job market with Company Career Page Scraper today! 🚀