SimplyHired Job Scraper

What does SimplyHired Jobs Scraper do?

SimplyHired Jobs Scraper collects public job listings from SimplyHired by keyword, location, or one or more prepared SimplyHired search URLs. It saves structured job records with titles, companies, locations, salary text, descriptions, skills, benefits, work arrangements, posting dates, and direct job links.

Use the dataset for recruiting research, hiring market analysis, lead generation, compensation research, job board monitoring, and scheduled reports. Results can be downloaded in common formats or connected to spreadsheets, alerts, dashboards, and other business workflows through Apify.

Why use SimplyHired Jobs Scraper?

• Build hiring datasets - Collect current SimplyHired listings without manually copying job cards into a spreadsheet.
• Search by role and geography - Compare demand for a job title, skill, company type, city, state, country, or remote work.
• Capture useful job context - Review descriptions, requirements, benefits, employment type, remote attributes, salary text, and company ratings when published.
• Support recruiting and sales research - Identify companies that are hiring now and organize their open roles for sourcing or outreach.
• Monitor changes over time - Schedule repeat runs with the same searches to track new listings, hiring volume, salary signals, and skill demand.
• Use automation-ready output - Export the dataset or connect it to Google Sheets, Airtable, webhooks, Make, Zapier, or your own application.

What data can you extract from SimplyHired?

Field	Type	Description
job_key	String	SimplyHired job identifier when available.
title	String	Job title as published in the listing.
company	String	Hiring company name.
location	String	Location shown for the job.
salary	String	Salary or compensation text when published.
snippet	String	Short preview from the search result.
summary	String	Listing summary text.
description_html	String	Job description with basic formatting when available.
description_text	String	Plain-text job description.
requirements	Array	Requirement terms found in the listing.
skills	Array	Skills and related terms associated with the role.
benefits	Array	Benefits listed by the employer when available.
job_type	String	Employment type, such as full-time or part-time.
remote_attributes	Array	Remote, hybrid, or other workplace attributes.
sponsored	Boolean	Whether the listing is marked as sponsored.
company_rating	Number	Company rating when SimplyHired provides one.
date_posted	String	Posting date in ISO timestamp format when available.
url	String	Direct job listing URL.
company_page_url	String	Company page URL when available.
source_search_url	String	SimplyHired search URL that produced the listing.
source	String	Source label, returned as SimplyHired.
scraped_at	String	ISO timestamp for when the record was saved.

Some fields are optional because employers do not publish the same information for every job. Missing salary, benefits, rating, or remote details normally means that the source listing did not provide them.

How to scrape SimplyHired jobs

1. Open SimplyHired Jobs Scraper in Apify Console.
2. Enter a keyword and location, or add one or more public SimplyHired search URLs in startUrls.
3. Set results_wanted to the maximum number of jobs you need.
4. Adjust max_pages when you need broader pagination coverage.
5. Run the Actor, review the dataset preview, and download or connect the results.

When startUrls is supplied, the Actor uses those search pages instead of building a search from keyword and location. For a first run, the default keyword, location, result limit, and page limit are suitable for a small validation dataset.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	None	One or more public SimplyHired search URLs. These take precedence over keyword and location search.
keyword	String	No	software engineer	Job title, skill, or search phrase, such as data analyst, registered nurse, or sales manager.
location	String	No	USA	Search location, such as Remote, New York, NY, Los Angeles, or United States.
results_wanted	Integer	No	20	Maximum number of job listings to save.
max_pages	Integer	No	2	Minimum pagination page budget. The Actor can continue when additional pages are needed to reach results_wanted, subject to its safety limit.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify Proxy settings for runs that need proxy routing.

Output Data

Each dataset item represents one SimplyHired job listing. The Actor removes duplicate listings during a run and adds source and collection-time metadata to saved records.

Field	Type	Description
job_key	String	Stable job key when available.
title	String	Job title.
company	String	Employer name.
location	String	Published job location.
salary	String	Published salary text, if available.
snippet	String	Search result preview.
summary	String	Summary text from the listing.
description_html	String	Formatted description when available.
description_text	String	Plain-text description for analysis and indexing.
requirements	Array	Requirement terms.
skills	Array	Skills and related terms.
benefits	Array	Employer-provided benefits.
job_type	String	Employment type.
remote_attributes	Array	Remote or hybrid attributes.
sponsored	Boolean	Sponsored-listing flag.
company_rating	Number	Company rating, if published.
date_posted	String	ISO posting timestamp when available.
url	String	Direct job URL.
company_page_url	String	Company page URL when available.
source_search_url	String	Search page used to find the job.
source	String	SimplyHired.
scraped_at	String	ISO collection timestamp.

Usage Examples

Basic keyword search

Collect 20 software engineering jobs in the United States.

{
  "keyword": "software engineer",
  "location": "USA",
  "results_wanted": 20,
  "max_pages": 2
}

Multiple SimplyHired search URLs

Collect jobs from two prepared searches in one run.

{
  "startUrls": [
    {
      "url": "https://www.simplyhired.com/search?q=product+manager&l=New+York%2C+NY"
    },
    {
      "url": "https://www.simplyhired.com/search?q=product+manager&l=Remote"
    }
  ],
  "results_wanted": 100,
  "max_pages": 10
}

Larger remote hiring dataset

Collect a larger set of remote data analyst jobs and route requests through an Apify residential proxy group.

{
  "keyword": "data analyst",
  "location": "Remote",
  "results_wanted": 100,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "groups": ["RESIDENTIAL"]
  }
}

Sample Output

The following example shows one realistic dataset item. Optional fields can be empty when SimplyHired does not publish the corresponding value.

{
  "job_key": "example123",
  "title": "Senior Software Engineer",
  "company": "Example Technologies",
  "location": "Remote",
  "salary": "$140,000 - $180,000 a year",
  "snippet": "Build and maintain services used by customers worldwide.",
  "summary": "Build and maintain services used by customers worldwide.",
  "description_text": "Example Technologies is hiring a senior software engineer to design, build, and improve production systems.",
  "requirements": ["JavaScript", "Cloud platforms", "API design"],
  "skills": ["JavaScript", "Cloud platforms", "API design"],
  "benefits": ["Health insurance", "401(k)", "Paid time off"],
  "job_type": "Full-time",
  "remote_attributes": ["Remote"],
  "sponsored": false,
  "company_rating": 4.2,
  "date_posted": "2026-07-18T10:40:34.160Z",
  "url": "https://www.simplyhired.com/job/example123",
  "company_page_url": "https://www.simplyhired.com/company/example-technologies",
  "source_search_url": "https://www.simplyhired.com/search?q=software+engineer&l=USA",
  "source": "SimplyHired",
  "scraped_at": "2026-07-18T10:45:12.220Z"
}

Tips for Best Results

• Start with a small run - Use results_wanted: 20 to confirm that a query returns the roles and locations you need.
• Use specific keywords - Terms such as backend engineer, warehouse associate, or marketing manager usually produce more focused results.
• Add seniority or skills - Include terms such as senior, entry level, Python, or registered nurse when you need a narrower dataset.
• Choose locations carefully - Use city and state names for local research, Remote for remote hiring, and country names for broad comparisons.
• Increase page coverage when needed - Raise max_pages for larger datasets. The run can stop early after it reaches results_wanted.
• Expect source-dependent fields - Salary, benefits, company ratings, and full descriptions may not be available for every employer.
• Keep scheduled searches consistent - Reusing the same keyword, location, and page settings makes trend comparisons easier.

Integrations

• Google Sheets - Review, filter, and share job datasets with recruiting or research teams.
• Airtable - Build a searchable hiring tracker with company and role fields.
• Webhooks - Send completed-run notifications or dataset events to another service.
• Make or Zapier - Trigger alerts, enrichment, or CRM workflows from new runs.
• API - Access datasets programmatically from your own applications.

Export Formats

Format	Useful for
JSON	Applications, APIs, and data pipelines
CSV	Spreadsheet analysis and bulk review
Excel	Business reports and shared workbooks
XML	Systems that require XML imports

Frequently Asked Questions

Can I scrape SimplyHired by keyword and location?

Yes. Set keyword and location to build a SimplyHired search automatically. Use a prepared search URL in startUrls when you need to reuse an existing search page.

Can I use my own SimplyHired search URLs?

Yes. Add one or more request objects containing a url in startUrls. When this field is present, those URLs take precedence over the keyword and location inputs.

How many jobs can I collect in one run?

Set results_wanted to the maximum number of listings you want. The final count also depends on how many matching public listings are available and how much pagination is needed.

Why are salary, benefits, or ratings missing?

Those fields are missing when the employer or SimplyHired does not publish them for a listing. The Actor keeps the available source data and does not infer unavailable values.

Does the Actor remove duplicate jobs?

Yes. Listings are checked using their job identifiers or URLs during a run so repeated search results are less likely to create duplicate dataset records.

Can I run SimplyHired monitoring on a schedule?

Yes. Create an Apify schedule for hourly, daily, weekly, or custom recurring runs, then compare the resulting datasets or send them to a downstream workflow.

Can I export SimplyHired data to CSV or Excel?

Yes. Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats.

Is it legal to scrape SimplyHired?

Public data collection may be subject to laws, privacy requirements, and SimplyHired terms. You are responsible for using this Actor lawfully, respecting access rules, and collecting only data you are allowed to use.

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• AiJobs.net Scraper - Collect AI, machine learning, and data job listings.

Support

For issues, feature requests, or questions about the dataset, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is intended for legitimate recruitment research, market analysis, monitoring, and other responsible data workflows. Users are responsible for complying with SimplyHired terms, applicable laws, privacy requirements, and data-use obligations.