Startup Jobs Scraper

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Pull startup and tech job listings from startup.jobs at scale — titles, companies, salaries, role tags, workplace type, posting dates, and direct apply links for every opening. Search any keyword in any city worldwide, filter for remote-only roles, and pull full job descriptions on demand. Built for recruiters, job-seekers, and talent-market researchers who need a clean, structured feed of the startup hiring market without copying postings one tab at a time.

Why This Scraper?

• Direct apply links on every job — each row carries the real /apply/... destination (or the company's external application URL), not just a link back to the listing page.
• Salary intelligence, parsed — min, max, and currency are pulled out into their own fields wherever the posting publishes a band, alongside a ready-to-read salary string.
• Geo-radius search, any city worldwide — type "Berlin", "United States", or "Europe" and results are ranked by proximity; leave it blank to sweep the whole board globally.
• Remote, hybrid, and on-site, clearly labeled — every job is tagged with a normalized workplace type, plus a one-click remote-only toggle to drop on-site roles entirely.
• Full job descriptions in HTML and clean text — flip one switch to enrich every job with its complete description both ways, plus company logo, role/skill tags, and posting date.
• Four employment types — narrow to full-time, part-time, contract, or internship with a single dropdown, or leave it open to capture all of them.
• Batch up to 50 searches in one run — queue many keywords at once, or paste up to 50 startup.jobs search and individual-job URLs to scrape exact dialed-in results verbatim.
• Startup-focused depth — indexed against tens of thousands of live roles across founder-stage and growth-stage companies, not a generic aggregator's leftovers; the actor returns up to about 500 results per search (split by location or job type to go deeper — see Tips).

Use Cases

Recruiting & Sourcing

• Build candidate-facing job feeds filtered to your niche and city
• Track which startups are hiring for a given role right now
• Monitor competitor headcount growth by watching their open reqs
• Pull apply links straight into your applicant-tracking workflow

Job-Seeker Tools

• Power a personal job tracker filtered to remote-only roles
• Surface every internship or contract opening in one city
• Compare salary bands across companies for the same title
• Get same-day alerts on new postings matching your keywords

Market & Talent Research

• Map startup hiring demand by role, city, and seniority
• Measure remote vs. hybrid vs. on-site mix across the market
• Track salary trends over time by repeating keyword searches
• Quantify which skills and tags appear most across open roles

HR-Tech & Lead Generation

• Feed live job data into a recruiting or salary-benchmarking product
• Identify fast-hiring startups as sales leads for HR tooling
• Enrich a CRM with hiring-company names, logos, and slugs
• Build a job-board or newsletter on top of a structured feed

Getting Started

Search by Keyword

The simplest run — one keyword, worldwide:

{
"searchQueries":["software engineer"]
}

Remote Roles in a City

Filter to remote-friendly jobs near a location, capped per keyword:

{
"searchQueries":["product designer","growth marketer"],
"location":"Berlin",
"remoteOnly":true,
"maxResultsPerQuery":200
}

Filtered, Full-Detail Pull

Internships only, with full descriptions and apply links on every job:

{
"searchQueries":["data science"],
"location":"United States",
"employmentType":"internship",
"maxResultsPerQuery":500,
"fetchDescription":true
}

Scrape Exact URLs

Paste a dialed-in startup.jobs search or an individual job page:

{
"startUrls":[
"https://startup.jobs/?q=designer",
"https://startup.jobs/senior-backend-engineer-acme-12345"
]
}

Input Reference

Search

Filters & Limits

Advanced

Output

Each job is one flat record. Example:

{
"jobId":"1234567",
"title":"Senior Backend Engineer",
"company":"Acme",
"companySlug":"acme",
"companyLogoUrl":"https://startup.jobs/logos/acme.png",
"location":"Berlin, Germany",
"city":"Berlin",
"country":"Germany",
"isRemote":true,
"workplaceType":"Remote",
"employmentType":"Full-time",
"experienceLevel":"3-6 years",
"tags":["Python","Backend","PostgreSQL"],
"salary":"€80,000–€110,000/year",
"salaryMin":80000,
"salaryMax":110000,
"salaryCurrency":"EUR",
"description":"We are looking for a senior backend engineer to...",
"descriptionHtml":"<p>We are looking for a senior backend engineer to...</p>",
"postedDate":"2026-06-08T00:00:00Z",
"applyUrl":"https://startup.jobs/apply/9f3c2a1b-...",
"jobUrl":"https://startup.jobs/senior-backend-engineer-acme-1234567",
"searchQuery":"software engineer",
"searchLocation":"Berlin",
"scrapedAt":"2026-06-11T14:22:05Z"
}

Core Fields

Company

Location & Workplace

Salary

Content & Apply

Run Metadata

Tips for Best Results

• Leave Fetch Full Job Descriptions off for fast, lightweight bulk listing pulls, and turn it on only when you need the complete text and apply links — it adds an extra fetch per job.
• To go past the roughly 500-results-per-search depth, split one broad keyword into several narrow runs by location or employment type — each city or job-type combination has its own 500 ceiling.
• Queue several related keywords in one run instead of many separate runs — every row records its searchQuery, so you can tell which keyword produced which job afterward.
• Use Remote Only for distributed-team sourcing; leave it off and read the workplaceType field when you want the full remote-vs-hybrid-vs-on-site mix.
• For investment-grade salary analysis, sort on salaryMin and salaryCurrency — postings without a published band leave those fields empty rather than guessing.
• Paste a startup.jobs search URL into Direct startup.jobs URLs to reproduce an exact filtered view from the site, or an individual job URL to grab a single posting with full detail.
• Set Max Results per Query to 0 to collect everything available for a search, then add a location or employment-type filter to keep each run focused and deep.

Pricing

From $0.90 per 1,000 results — undercutting the typical startup-job dataset rate. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

A "result" is one job record pushed to your dataset. Apify platform usage fees are separate from the per-result price above.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor collects publicly available job-listing data for legitimate purposes such as recruiting, market research, and personal job searching. You are responsible for using the data in compliance with startup.jobs' terms of service, applicable laws, and data-protection regulations including GDPR and CCPA. Do not use collected personal data for spam, harassment, or any unlawful purpose. Always review and respect the target website's terms before running large-scale data collection.