ZipRecruiter Jobs Scraper

Scrape ZipRecruiter job listings at scale — by keyword and location — and export clean, structured data: job title, company, salary, location, remote status, employment type, posted date, description, and the job URL.

Most ZipRecruiter scrapers break on Cloudflare or return thin data. This ZipRecruiter scraper is built to be reliable (real browser + rotating US residential sessions with automatic retries) and complete — it reads ZipRecruiter's own structured job data, so you get salary (including ZipRecruiter's estimated pay), posted date, and work arrangement that DOM scrapers miss.

Use it as a ZipRecruiter API for recruiting, lead generation, job boards, salary benchmarking, and labor-market research.

Why this ZipRecruiter scraper

• 🔓 Reliable through Cloudflare — headful Chromium + US residential proxies, with per-page session reuse and retries. No random empty runs.
• 💰 Salary on ~99% of jobs (199 of 200 in a measured 10-search run) — employer-provided and ZipRecruiter-estimated, flagged with salaryEstimated, plus structured salaryMin / salaryMax / interval / currency.
• 🏠 Remote / Hybrid / On-site work arrangement and employment type (Full-time, Part-time, Contract…).
• 🗓️ Posted date (UTC) and a daysOld filter to get only fresh jobs.
• 🔗 Canonical job URL and company URL + logo for every listing.
• 🗺️ Many searches in one run — give lists of keywords and locations; every combination is searched, results are de-duplicated across them, and each row records which search found it.
• 🧹 Auto-paging to your maxItems and automatic de-duplication.
• 📤 Export to JSON, CSV, Excel, or pull via the Apify API.

What data you get

Field	Description
title, company, companyUrl, companyLogo	Job + employer
location, city, state, country	Normalized location
workArrangement	Remote / Hybrid / On-site
employmentType	Full-time / Part-time / Contract / …
salary, salaryMin, salaryMax, salaryInterval, salaryCurrency	Pay, structured
salaryEstimated	true if ZipRecruiter estimated it, false if employer-provided
postedAt	When the job was posted (UTC)
description	Job description snippet
url, jid, listingKey	Links / IDs
searchQuery, searchLocation	Which of your searches returned this job

Input

Field	Description
search	Job title / keyword — e.g. software engineer, registered nurse. Blank = every job in the location.
location	City, state, or ZIP — e.g. New York, NY or 60601. Blank = nationwide (all of the US).
searches	Several keywords in one run. Replaces search when set.
locations	Several locations in one run. Replaces location when set. Every search × location pair is run, visited in turn so a run that stops at maxItems covers all of them.
maxItems	How many jobs to return (pages fetched automatically, ~20/page).
daysOld	Only jobs posted within this many days (optional).
radiusMiles	Search radius around the location (optional).
proxyConfiguration	US residential required — ZipRecruiter blocks datacenter IPs and geo-redirects non-US ones.

Example input

{
  "searches": ["registered nurse", "travel nurse"],
  "locations": ["Chicago, IL", "Denver, CO", "Houston, TX"],
  "maxItems": 300,
  "daysOld": 7
}

That is six searches (2 keywords x 3 cities) in one run, de-duplicated, with each row tagged by the search that found it.

Example output

{
  "title": "Senior Software Engineer",
  "company": "Capital One",
  "location": "Manhattan, NY",
  "workArrangement": "Remote optional",
  "employmentType": "Full-time",
  "salary": "$75,700 - $137,100/yr",
  "salaryEstimated": true,
  "postedAt": "2026-08-28T20:43:49Z",
  "description": "Staff AI Engineer role …",
  "url": "https://www.ziprecruiter.com/c/Capital-One/Job/…?jid=16b95c937eed52e1"
}

How to use

1. Enter a search keyword and optional location — or lists of searches and locations to cover many at once.
2. Set maxItems (and optionally daysOld for fresh jobs only).
3. Keep the proxy on US residential (the default).
4. Run it, then download the dataset as JSON/CSV/Excel — or call it from the API.

Use cases

• Recruiting & sourcing — pull live openings by role and city.
• Job boards & aggregators — feed fresh ZipRecruiter listings into your site.
• Salary benchmarking — structured pay ranges across roles and locations.
• Lead generation — companies that are actively hiring.
• Labor-market research — track demand, remote share, and pay over time.

FAQ

Does it get job URLs and salaries? Yes — a canonical apply URL for every job, and salary on every job (employer-provided or ZipRecruiter-estimated, flagged so you can tell which).

Why is a residential proxy required? ZipRecruiter uses Cloudflare and blocks datacenter IPs, and it geo-redirects non-US IPs to localized sites. The scraper uses US residential proxies so you always hit the US site and get results.

Can I scrape only recent jobs? Yes — set daysOld (e.g. 1 for the last 24 hours, 7 for the last week).

How many jobs can I get? Set maxItems to anything; the scraper pages automatically until it reaches it or runs out of results for that search.

What formats can I export? JSON, CSV, Excel, or pull straight from the Apify API/integrations.