SimplyHired Jobs Scraper

SimplyHired Jobs Scraper

Scrape SimplyHired job listings by title, keyword, or location, up to a million per run. Every listing returns the job title, company, salary, location, and description. No API key or login. Export to CSV, JSON, Excel, or XML.

SimplyHired aggregates job postings from across the web, but manually copying listings is slow and error-prone. This actor searches SimplyHired for any job title, keyword, or location you specify and returns structured results. It handles pagination and rate-limiting so you get clean data without writing a scraper.

Who uses it	What they scrape SimplyHired for
Recruiters	Build a pipeline of open roles matching a specific skill set in a target city.
Job board aggregators	Pull fresh listings daily to populate a niche job site with current openings.
Market analysts	Track hiring volume and salary ranges for specific roles across different regions.
Sales teams	Identify companies that are hiring as a signal for prospecting and outreach.

What it does

This Actor searches SimplyHired by job title or keyword and location, and returns each matching job listing as a flat row.

• 🔍 Keyword search: Enter any job title, skill, or company name to find matching listings.
• 📍 Location filter: Narrow results to a city, state, or region, or search for remote roles.
• 📊 Volume control: Set a maximum number of listings to collect, from a single page to a full market sweep.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with SimplyHired data

📈 Monitor hiring trends.

A market analyst runs the scraper weekly for "data engineer" across five cities to track demand shifts and salary changes over time.

🏢 Build a niche job board.

A developer pulls remote marketing roles daily and feeds them into a curated job site for digital nomads.

🎯 Generate sales leads.

A sales team searches for companies hiring "account executive" in their territory and cross-references the results with their CRM.

📋 Fill a recruitment pipeline.

A recruiter scrapes listings for "registered nurse" in three metro areas every morning to find new openings before competitors.

Why choose this scraper

	What you get
No API key required	Start scraping immediately without registering an application or managing tokens.
Structured output	Every listing arrives in a consistent schema ready for analysis or a database.
Location targeting	Search by city, state, or region to compare job markets side by side.
Scalable volume	Collect ten listings for a quick check or up to a million for a full market study.

How it compares

This actor focuses on reliable, structured extraction from SimplyHired search results with a simple query-and-location input model.

Feature	ParseForge	SimplyHired Job Scraper 🔍	SimplyHired Jobs Scraper	SimplyHired Job Scraper
Search by job title or keyword	Yes	Yes	Yes	Yes
Location filter	Yes	Yes	Not listed	Not listed
Salary data extraction	Yes	Yes	Not listed	Yes
Company details	Yes	Yes	Not listed	Yes
Up to 1,000,000 listings per run	Yes	Not listed	Not listed	Not listed
No API key or login required	Yes	Not listed	Not listed	Not listed

Configure the run

Drive the Actor with a job title or keyword and an optional location. The max items cap stops the run once you have enough listings. The Input tab lists every parameter.

A first run with the defaults:

{
  "query": "software engineer",
  "location": "New York, NY",
  "maxItems": 10
}

A larger pull:

{
  "query": "software engineer",
  "location": "New York, NY",
  "maxItems": 200
}

Pricing

Pay-per-result: $0.0075 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.75
1,000 results	$7.50
10,000 results	$75.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the SimplyHired Jobs Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to SimplyHired through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/simplyhired-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your query and location match real listings on SimplyHired. Try a broader keyword or remove the location filter. Also verify that SimplyHired is accessible from your region.

The run stopped before reaching my max items limit.

SimplyHired may not have enough listings for your search. The actor stops when it exhausts all available results, even if the number is below your max items setting.

Some listings are missing the salary field.

Not every employer includes salary information on SimplyHired. The salary field is populated only when the original posting contains it. This is expected behavior.

The actor is running slowly.

The actor respects rate limits to avoid being blocked. Large searches with high max items values will take longer. Consider reducing the max items or running the actor overnight.

I received an error about the location format.

Use a standard city and state format like "New York, NY" or a simple city name like "Chicago". Avoid special characters or overly specific addresses.

FAQ

Question	Answer
Do I need a SimplyHired account or API key?	No. This actor reads the public SimplyHired search results directly. You do not need an account, an API key, or any registration.
What data does each job listing include?	Each row returns the job title, company name, location, salary when available, a description snippet, and the source URL. The exact fields are shown in the sample output on the Actor's page.
Can I search for remote jobs only?	Yes. Enter "Remote" in the location field to find listings tagged as remote. You can also combine it with a keyword like "software engineer" to narrow the results.
How many job listings can I scrape in one run?	You set the limit with the max items field, up to 1,000,000 listings per run. The actor stops automatically when it reaches your number.
Can I search by company name?	Yes. Enter the company name in the query field, for example "Google" or "Tesla", and the actor returns all current listings from that employer on SimplyHired.
Does this work for locations outside the United States?	SimplyHired covers several countries. Enter the city and country in the location field, such as "London, UK" or "Toronto, Canada", to pull listings for those markets.
What output formats are supported?	You can export your dataset to CSV, JSON, Excel, or XML directly from the Apify platform after the run completes.
How often should I run this scraper?	You can schedule it to run daily or weekly using Apify's built-in scheduler. Most users run it once a day to catch new postings without duplicating effort.
Is it legal to scrape SimplyHired?	This actor accesses publicly available job listings. You are responsible for complying with SimplyHired's terms of service and applicable laws in your jurisdiction.
Can I filter by salary range?	The actor returns the salary information that SimplyHired displays on the listing. You can filter the results after export using the salary field in your spreadsheet or database.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by SimplyHired, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.