ZipRecruiter Scraper

What ZipRecruiter Scraper can do

• Two ways to find listings. Build a search from keywords, location and filters, or paste finished ziprecruiter.com search or job URLs (multiple supported, each pages forward on its own).
• About 50 fields per record, around 35 filled from the search results alone. Parsed salary (min, max, period), structured location (city, state, county), employment type, company logo and an apply URL ship without opening a detail page; company website, full address, coordinates, industry, benefits text and the full description need Fetch full listing details.
• Optional detail mode for the long form. Switch it on for the full description text, a structured street address, industry, valid-through date, verified salary, and any contact email or phone number the employer pasted into the listing.
• Filters that apply to the search and the results. Date posted, employment type, remote-only, minimum and maximum salary, workplace type, external-apply only and search radius.
• Forward pagination with de-duplication. The actor reads the site's own result-count to know when a search ends, and never saves the same job id twice.
• Continue a large pull across separate runs. Point resumeFromRunId at a previous run or dataset and only the listings not already collected there are saved (and billed).

Choose what to collect

These inputs let you configure ZipRecruiter Scraper - Jobs, Salaries & Companies. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": "ad8a4fef327eab36",
  "listingKey": "sample-listing-key",
  "url": "https://www.ziprecruiter.com/c/Sample-Employer-Inc/Job/Full-Stack-Software-Engineer/-in-Reston,VA?jid=ad8a4fef327eab36",
  "title": "Full Stack Software Engineer",
  "company": "Sample Employer Inc",
  "companyWebsite": "sampleemployer.com",
  "companyLogo": "https://www.ziprecruiter.com/svc/fotomat/public-nosensitive-ziprecruiter-logos/company/sample123.png",
  "location": "Reston, VA",
  "city": "Reston",
  "state": "Virginia",
  "county": "Fairfax",
  "postalCode": "20190",
  "streetAddress": "1100 Sample Way",
  "country": "United States",
  "locationType": "On-site",
  "remote": false,
  "salary": "$123K - $161K/yr",
  "salaryMin": 123000,
  "salaryMax": 161000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "employmentTypes": [
    "FULL_TIME"
  ],
  "employmentType": "FULL_TIME",
  "industry": "Technology",
  "occupationalCategory": "15-1133.00: Software Developers, Systems Software",
  "benefits": [
    "MEDICAL",
    "LIFE_INSURANCE"
  ],
  "snippet": "THE IMPACT YOU WILL MAKE The Full Stack Software Engineer role will offer you the flexibility to make each day your own...",
  "descriptionText": "Full job description text appears here when Fetch detail pages is on.",
  "emails": [],
  "phoneNumbers": [],
  "datePosted": "2026-04-24T00:00:00Z",
  "validThrough": "2026-06-23",
  "isActive": true,
  "directApply": true,
  "applyUrl": "https://www.ziprecruiter.com/c/Sample-Employer-Inc/Job/Full-Stack-Software-Engineer/-in-Reston,VA?jid=ad8a4fef327eab36",
  "sponsored": false,
  "searchQuery": "software engineer",
  "searchLocation": "Remote",
  "pageNumber": 1,
  "source": "ZipRecruiter",
  "scrapedAt": "2026-05-25T12:00:00.000Z"
}

Ways to use this data

• Job board aggregation: build or refresh your own jobs feed with structured salary, location and employment-type data.
• Recruiting and sourcing: pull open roles by keyword and location to find which companies are hiring for a given skill set.
• Labor market and salary research: collect parsed salary ranges across roles, regions and employment types for benchmarking.
• Competitor and hiring-trend tracking: monitor which roles a company is posting and how its listings change over time.
• New-listing alerting: watch a keyword or location and use resumeFromRunId to skip jobs already collected in that specific run or dataset.
• Data science and NLP: build a labeled dataset of job titles, descriptions and requirements for classification or matching models.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor