SimplyHired Jobs Scraper

Extract job listings from SimplyHired quickly and reliably for research, monitoring, and hiring intelligence. Collect structured job data including company details, salary information, and full long-form job descriptions. Designed for repeatable, automated collection at scale.

Features

• Comprehensive job extraction — Collect titles, companies, locations, salary, and metadata.
• Long-form descriptions — Capture full plain-text and HTML descriptions for deeper analysis.
• Automatic pagination — Continue collection across search pages until your target is reached.
• Flexible inputs — Run by keyword/location or provide direct search URLs.
• Duplicate-resistant output — Save unique jobs using stable identifiers.
• Automation-ready datasets — Use output in recurring workflows and reporting pipelines.

Use Cases

Hiring Market Analysis

Track demand across locations and roles over time. Build datasets to monitor where hiring is rising and which positions are most active.

Lead Generation

Find companies actively hiring in your target segment. Use hiring activity as a strong outreach and prioritization signal.

Job Intelligence Dashboards

Create dashboards, alerts, and trend reports powered by fresh job data. Keep internal teams updated with scheduled collections.

Skills and Compensation Research

Analyze requirements, salary text, and job types to identify in-demand skills and market expectations.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	—	One or more SimplyHired search URLs. If provided, these are used directly.
keyword	String	No	software engineer	Search keyword (for example, data engineer).
location	String	No	USA	Location filter (for example, Remote, New York, NY).
results_wanted	Integer	No	20	Maximum number of jobs to collect.
max_pages	Integer	No	250	Hard cap for pagination pages to visit.
proxyConfiguration	Object	No	Residential proxy preset	Proxy settings for reliable collection.

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Output Data

Each dataset item can contain:

Field	Type	Description
job_key	String	Unique job identifier.
title	String	Job title.
company	String	Hiring company name.
location	String	Job location.
salary	String	Salary text when available.
job_type	String	Employment type details when available.
description_text	String	Full long-form job description in plain text.
description_html	String	Full long-form job description in HTML format.
snippet	String	Short preview text from search results.
summary	String	Short listing summary.
requirements	Array	Requirement keywords from listing metadata.
skills	Array	Skill and metadata terms normalized for analysis.
benefits	Array	Benefit keywords when available.
remote_attributes	Array	Remote or hybrid attributes when available.
sponsored	Boolean	Whether the listing is sponsored.
company_rating	Number	Company rating when provided.
date_posted	String	Posting date timestamp.
url	String	Direct job URL.
company_page_url	String	Company page URL when available.
source_search_url	String	Search URL used to discover the listing.
source	String	Data source label.
scraped_at	String	Extraction timestamp.

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Usage Examples

Basic Search

Collect 50 software engineering jobs in the US:

{
  "keyword": "software engineer",
  "location": "USA",
  "results_wanted": 50,
  "max_pages": 30
}

Direct Search URL

Run from a specific SimplyHired search page:

{
  "startUrls": [
    { "url": "https://www.simplyhired.com/search?q=data+engineer&l=Remote" }
  ],
  "results_wanted": 100,
  "max_pages": 60
}

Larger Collection

Collect a larger dataset for analysis:

{
  "keyword": "product manager",
  "location": "United States",
  "results_wanted": 500,
  "max_pages": 250,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "job_key": "abcd1234example",
  "title": "Senior Software Engineer",
  "company": "Example Technologies",
  "location": "Remote",
  "salary": "$140,000 - $180,000 a year",
  "job_type": "Full-time",
  "description_text": "Full long-form job description text...",
  "description_html": "<p>Full long-form job description HTML...</p>",
  "snippet": "Short listing preview...",
  "requirements": ["Python", "AWS", "API design"],
  "benefits": ["Health insurance", "401(k)"],
  "sponsored": false,
  "company_rating": 4.2,
  "date_posted": "2026-02-13T10:40:34.160Z",
  "url": "https://www.simplyhired.com/job/example",
  "source": "SimplyHired",
  "scraped_at": "2026-02-13T10:40:34.160Z"
}

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Tips for Best Results

Start With Small Runs

• Begin with results_wanted: 20 to validate the query.
• Increase limits after confirming output quality.

Use Clear Search Terms

• Specific keywords produce cleaner datasets.
• Add location constraints to reduce noise when needed.

Tune Pagination Deliberately

• Keep max_pages high enough for larger targets.
• Lower max_pages for faster exploratory runs.

Use Reliable Proxy Settings

• Residential proxies improve consistency for repeated runs.
• Keep proxy settings enabled for scheduled workloads.

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Integrations

Connect your data with:

• Google Sheets — Share job insights with teams.
• Airtable — Build searchable job and company datasets.
• Make — Trigger no-code automations from new runs.
• Zapier — Route results into business tools.
• Webhooks — Send run results to your own endpoints.

Export Formats

• JSON — API and application workflows.
• CSV — Spreadsheet and BI analysis.
• Excel — Business reporting and sharing.
• XML — System interoperability where needed.

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Frequently Asked Questions

How many jobs can I collect?

Set results_wanted based on your needs. The actor collects until it reaches your target or your pagination limit.

Does output include long-form descriptions?

Yes. Each item includes description_text and description_html when available.

Can I use multiple start URLs in one run?

Yes. Add multiple entries in startUrls and they will be processed in sequence.

Why are some fields empty?

Some listings do not publish every attribute, such as salary or benefits. Empty values reflect source availability.

Does it reduce duplicates?

Yes. The actor is designed to reduce duplicates using stable job identifiers.

Is it suitable for scheduled monitoring?

Yes. It works well with recurring runs and automated dataset processing.

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Support

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

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and analysis. You are responsible for complying with website terms, local laws, and data-use obligations.