Pricing

Rating

Developer

Actor stats

Categories

Share

Startup Jobs Scraper

Extract startup and remote job listings from Startup.jobs in a fast, reliable, automated workflow. Collect complete hiring data including job titles, company details, salary ranges, posting dates, and descriptions for research, monitoring, and analysis. This scraper is built for teams that need consistent job market data at scale.

Features

• Comprehensive Job Collection — Gather job records with title, company, location, salary, tags, and posting metadata.
• Description Enrichment — Capture detailed job descriptions and clean text for analysis-ready datasets.
• Flexible Search Inputs — Filter by keyword, location, and listing URL to target specific job segments.
• Scalable Output Control — Set result and page limits to balance data depth, speed, and cost.
• Reliable Anti-Blocking Handling — Keep extraction stable even when websites apply protection layers.

Use Cases

Talent Intelligence

Track hiring demand across startup roles, locations, and experience levels. Build weekly or daily trend snapshots for leadership and recruiting teams.

Recruitment Operations

Create fresh candidate sourcing datasets by collecting new openings and role attributes automatically. Reduce manual job-board monitoring effort.

Compensation Research

Analyze salary ranges by function, seniority, and market. Support compensation benchmarking and talent planning with structured data.

Product and Market Research

Monitor role requirements, skills demand, and company hiring patterns over time. Identify emerging trends in startup hiring strategies.

Job Alert Platforms

Feed downstream tools and internal dashboards with normalized job records. Power notifications, matching logic, and searchable job databases.

Input Parameters

Output Data

Each dataset item contains:

Usage Examples

Basic Remote Collection

{
"location":"Remote",
"results_wanted":20
}

Keyword-Focused Extraction

{
"keyword":"software engineer",
"location":"Remote",
"results_wanted":50,
"max_pages":5,
"collectDetails":true
}

Custom Listing URL

{
"startUrl":"https://startup.jobs/remote-jobs?w=remote&q=data+scientist",
"results_wanted":30,
"max_pages":3,
"collectDetails":true
}

Sample Output

{
"id":"6654883",
"title":"Senior Full Stack Engineer",
"company":"Solace",
"location":"Remote",
"job_type":"Full Time",
"salary":"USD 150000 - 200000",
"posted_at":"2026-01-22T16:50:47Z",
"description_text":"As a Full Stack Engineer, you'll join a talented team and own delivery from requirements through release...",
"description_html":"<div class=\"trix-content\">...</div>",
"company_logo":"https://startup.jobs/logos/34127",
"apply_link":"https://startup.jobs/apply/4cec53b4-9d8e-4ce7-989b-b9f0e163de13",
"url":"https://startup.jobs/senior-full-stack-engineer-solace-6654883",
"source":"listing+details",
"fetched_at":"2026-02-14T05:28:50.151Z",
"tags":["Engineer","Full Stack","Senior"]
}

Tips for Best Results

Start with QA-Friendly Limits

• Begin with results_wanted: 20 to validate settings quickly.
• Increase volume after confirming output quality and stability.

Use Specific Keywords

• Combine role and specialty terms to narrow results.
• Use broader keywords when building market-wide datasets.

Tune Concurrency Carefully

• Keep maxConcurrency low for stability on protected pages.
• Increase gradually when throughput is stable.

Keep Runs Fast

• Start with results_wanted: 20 and scale up once the run profile is stable.
• Increase maxConcurrency gradually and monitor runtime versus failure rate.

Integrations

Connect your dataset with:

• Google Sheets — Share and analyze hiring data quickly.
• Airtable — Build searchable internal hiring intelligence tables.
• Make — Automate downstream workflows and alerts.
• Zapier — Trigger notifications and CRM updates.
• Webhooks — Deliver fresh run results to your own endpoints.

Export Formats

• JSON — API and engineering workflows.
• CSV — Spreadsheet analysis and BI import.
• Excel — Business reporting and operations review.
• XML — Legacy system integrations.

Frequently Asked Questions

How many jobs can I collect per run?

You can request up to 500 items per run using results_wanted.

Can I collect full job descriptions?

Yes. Keep collectDetails enabled to gather enriched description fields.

Why are some fields empty?

Some listings do not publish every field (for example salary or location detail), so those values may be null.

How do I make runs more reliable?

Use residential proxies, keep concurrency moderate, and start with focused filters.

Can I schedule this scraper daily?

Yes. You can schedule runs from Apify to keep your dataset continuously updated.

Is this suitable for analytics pipelines?

Yes. The output is normalized and export-friendly for dashboards, alerts, and data warehouses.

Support

For issues or feature requests, use support channels in the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

Legal Notice

This actor is intended for legitimate data collection and analysis. Users are responsible for complying with applicable laws, platform terms, and responsible data usage practices.