SimplyHired Scraper: Full Descriptions & Auto-Sync

Hook

Manually browsing job boards is slow. This Actor scrapes SimplyHired job listings with full descriptions, salary estimates, and company data. Enter a job title and location, and it auto-paginates through results to give you structured job data you can analyze, filter, or feed into your hiring pipeline.

Use Cases

• Recruitment Automation: Aggregate job listings from SimplyHired into a single dataset for talent sourcing
• Job Market Analysis: Track hiring trends, salary ranges, and in-demand skills across industries
• Competitive Benchmarking: Monitor competitor job postings to understand their growth and strategy
• Salary Research: Collect salary estimates across roles, locations, and experience levels
• Job Board Aggregation: Build custom job boards or alerts by scraping and re-filtering SimplyHired data
• Academic Research: Gather employment data for labor market studies or economic research

How It Works

1. Enter Search Terms: Provide job keywords (e.g., "data analyst") and optionally a location
2. Configure Depth: Set max pages to scrape and toggle deep scan for full descriptions
3. Run the Actor: It queries SimplyHired search, follows pagination, and extracts listing details
4. Get Results: Structured job data is saved to a dataset exportable as JSON, CSV, or Excel

The Actor handles search result pagination automatically. With deep scan enabled, it visits each individual listing page to extract the complete job description.

Input

Field	Type	Required	Default	Description
keyword	string	Yes	—	Job search keywords or title
location	string	No	""	Location filter (leave empty for all)
deepScan	boolean	No	true	Visit each listing page for full descriptions
max_pages	integer	No	5	Maximum result pages to scrape (0 = all)

Output

Each item in the dataset contains:

Field	Type	Description
title	string	Job listing title
company	string	Company name
location	string	Job location
salary	string	Salary range or estimate
description	string	Full job description
url	string	Direct URL to the listing
postedDate	string	Date the job was posted
source	string	Data source identifier

Example Input

{
  "keyword": "software engineer",
  "location": "New York",
  "deepScan": true,
  "max_pages": 3
}

Example Output

[
  {
    "title": "Senior Software Engineer",
    "company": "TechCorp Inc.",
    "location": "New York, NY",
    "salary": "$120,000 - $160,000/year",
    "description": "We are looking for a Senior Software Engineer to join our backend team. You will design and build scalable microservices...",
    "url": "https://www.simplyhired.com/job/12345678",
    "postedDate": "2024-01-10",
    "source": "simplyhired"
  }
]

Integrations

• Google Sheets: Export CSV and import for collaborative spreadsheet analysis
• Airtable: Push job data to Airtable for custom filtering and views
• Zapier / Make: Trigger the Actor on schedule and push new listings to Slack or email
• ATS Integration: Feed job data into applicant tracking systems via API
• Apify Scheduler: Automate daily scraping for job market monitoring dashboards
• Python / Node.js: Use Apify API clients to build custom job aggregation pipelines

FAQ

Q: Does deep scan significantly increase scraping time? A: Yes. Deep scan visits each individual job listing page for full descriptions, which takes longer than scraping only search results. Disable it if you only need basic listing data (title, company, location).

Q: Are salary estimates always available? A: Not all listings include salary data. When available, the Actor extracts it. The salary field may be empty for listings that don't disclose compensation.

Q: Can I scrape multiple locations at once? A: Run the Actor once per location, or leave the location field empty to search nationwide. You can also provide multiple start URLs with different location parameters.

Q: Is there a limit on max_pages? A: There is no hard limit, but SimplyHired may restrict access if too many pages are scraped rapidly. Use proxy rotation and reasonable page limits for best results.

Q: Can I track specific companies? A: Use the keyword field with the company name (e.g., "Google jobs") or combine with location filtering. For dedicated company job tracking, consider using company career page URLs with the generic web scraper.

SEO Keywords

simplyhired scraper, simplyhired job scraper, scrape simplyhired jobs, simplyhired job listings, simplyhired data extraction, job board scraper, simplyhired api alternative, scrape job descriptions, salary data scraper, simplyhired full descriptions, job scraping tool, simplyhired to json, job market data, recruitment data scraping, simplyhired automation, job listing extractor, employment data scraper

For AI Agents

Purpose: Scrape job listings from SimplyHired with full descriptions, salary estimates, and company data.

Minimal Input JSON:

{
  "keyword": "data analyst"
}

Output Fields: title, company, location, salary, description, url, postedDate, source

Behaviors:

• Accepts job search keywords and optional location filter
• Auto-paginates through search results up to the configured max pages
• With deepScan enabled, visits individual listing pages for full descriptions
• Returns results as a JSON array in the default dataset
• Each result includes both basic listing info and extended description data

Billing: $0.002 per result (per job listing scraped). Cost scales with the number of listings discovered and pages processed.

Legal Disclaimer

This Actor is developed and maintained by an independent developer and is not affiliated with, endorsed by, or connected to SimplyHired, Inc. or its parent company. SimplyHired is a registered trademark of its respective owners.

The Actor scrapes publicly accessible job listing data from simplyhired.com in compliance with applicable laws. Users are solely responsible for ensuring their use of this Actor complies with SimplyHired's Terms of Service and all applicable regulations. The developer assumes no liability for misuse of this tool or any consequences arising from scraping activities.

Use this Actor at your own risk and in accordance with all applicable terms of service and legal requirements.

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