Ziprecruiter Scraper

by SilentFlow

Extract job listings, salaries, companies, locations, descriptions, and application links from ZipRecruiter, by URL or search query, at scale.

✨ Why use this scraper?

• 🔍 Search by keyword + location: Find jobs by title, company, or skill with geographic targeting
• 🎯 Filters & sorting: Filter by job type, posting date, salary, sort by relevance, date, or salary
• 📊 Rich structured data: 30+ fields per job including salary range, GPS coordinates, benefits, and apply link
• ⚡ Fast concurrent scraping: Configurable parallel workers for high-throughput data collection
• 🔗 Flexible input: Scrape by search query or paste ZipRecruiter URLs directly

🎯 Use cases

Industry	Application
Job Market Analytics	Track hiring trends, salary ranges, and demand by role across cities
Recruitment Intelligence	Monitor competitor job postings and compensation packages
Career Research	Aggregate job opportunities matching specific skills and locations
HR & Staffing	Build pipelines of open positions for staffing agencies
Salary Benchmarking	Compare salary data across regions and employment types
Market Research	Analyze which companies are hiring and in what roles

📥 Input parameters

URL Scraping

Parameter	Type	Description
startUrls	array	ZipRecruiter job URLs or search result URLs

Search

Parameter	Type	Description
searches	array	Search queries (e.g. "software engineer", "data analyst")
location	string	Location for search (e.g. "New York, NY", "Remote"), required when using searches

Sorting & Filtering

Parameter	Type	Default	Description
sort	string	relevance	Sort order: relevance, date, distance, salary
jobType	string	,	Employment type: full_time, part_time, contract, internship, temporary
postedWithin	string	anytime	Date filter: today, 3days, week, month, anytime
salaryRange	string	,	Minimum salary filter (e.g. "50000" for $50K+)

Limits

Parameter	Type	Default	Description
maxItems	integer	50	Maximum total jobs to return
maxPages	integer	5	Maximum search result pages per query (~20 jobs per page)

Options

Parameter	Type	Default	Description
includeDetails	boolean	true	Fetch each job detail page for full data (description, salary, benefits, coordinates)

Advanced

Parameter	Type	Default	Description
concurrency	integer	5	Parallel workers for detail page fetching
requestTimeout	integer	30	Seconds per request
debugMode	boolean	false	Enable verbose logging

Proxy

Parameter	Type	Default	Description
proxy	object	Residential	Proxy configuration for scraping

📊 Output data

Job example

{
  "id": "503842941",
  "url": "https://www.ziprecruiter.com/jobs/503842941-software-engineer-a-google",
  "title": "Software Engineer",
  "description": "<p>We are looking for a Software Engineer to join our team...</p>",
  "company": "Google",
  "companyUrl": "https://www.google.com",
  "companyLogo": "https://photos.ziprecruiter.com/google-logo.png",
  "location": "New York, NY",
  "city": "New York",
  "state": "NY",
  "country": "US",
  "postalCode": "10001",
  "latitude": 40.7128,
  "longitude": -74.006,
  "salaryMin": 120000,
  "salaryMax": 180000,
  "salaryInterval": "YEAR",
  "salaryCurrency": "USD",
  "salaryText": "$120,000 - $180,000/yr",
  "benefits": ["Health insurance", "401(k)", "Paid time off"],
  "employmentType": "FULL_TIME",
  "industry": "Technology",
  "category": "Software Development",
  "skills": "",
  "experienceRequirements": "",
  "postedDate": "2026-02-25",
  "validThrough": "2026-03-25",
  "postedHumanDate": "3 days ago",
  "directApply": true,
  "applyUrl": "https://www.ziprecruiter.com/jobs/apply/...",
  "scrapedAt": "2026-02-28T18:45:10Z",
  "dataType": "job"
}

🗂️ Data fields

Category	Fields
Identifiers	id, url
Job Info	title, description, company, companyUrl, companyLogo
Location	location, city, state, country, postalCode
Coordinates	latitude, longitude
Compensation	salaryMin, salaryMax, salaryInterval, salaryCurrency, salaryText
Benefits	benefits
Employment	employmentType, industry, category, skills, experienceRequirements
Dates	postedDate, validThrough, postedHumanDate
Application	directApply, applyUrl
Meta	scrapedAt, dataType

🚀 Examples

Search for jobs in New York

{
  "searches": ["software engineer"],
  "location": "New York, NY",
  "maxItems": 50,
  "maxPages": 3
}

Full-time jobs posted this week

{
  "searches": ["data analyst"],
  "location": "San Francisco, CA",
  "jobType": "full_time",
  "postedWithin": "week",
  "sort": "date",
  "maxItems": 100
}

High-salary remote jobs

{
  "searches": ["machine learning engineer"],
  "location": "Remote",
  "salaryRange": "150000",
  "maxItems": 50
}

Scrape a ZipRecruiter search URL

{
  "startUrls": [
    { "url": "https://www.ziprecruiter.com/jobs/search?search=nurse&location=Chicago%2C+IL" }
  ],
  "maxItems": 100,
  "includeDetails": true
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "searches": ["software engineer"],
    "location": "New York, NY",
    "sort": "date",
    "maxItems": 50,
}

run = client.actor("silentflow/ziprecruiter-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["company"], item["salaryText"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('silentflow/ziprecruiter-scraper').call({
    searches: ['software engineer'],
    location: 'New York, NY',
    sort: 'date',
    maxItems: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title, item.company, item.salaryText));

📈 Performance & limits

Metric	Value
Fields per job	30+
Jobs per search page	~20
Max pages per search query	Configurable (default: 5)
Proxy	Configurable (residential recommended)

💡 Tips for best results

1. Use includeDetails: true to get the full dataset, description, structured salary, benefits, GPS coordinates, and apply link
2. Combine filters: use jobType, postedWithin, and salaryRange together to get exactly what you need
3. Location is required for searches: always provide location when using the searches parameter
4. Start small: set maxItems: 10 for your first run to verify the output format before scaling up
5. Use postedWithin: "week" to focus on fresh job listings with active applications

❓ FAQ

Q: What types of ZipRecruiter URLs are supported? A: Job detail pages (/jobs/...) and search result pages (/jobs/search?...).

Q: Do I need a ZipRecruiter account or API key? A: No. The scraper works without any ZipRecruiter credentials.

Q: What's the difference between includeDetails: true and false? A: With includeDetails: false, search results return basic info (title, company, location, URL). With true, each job gets a full detail fetch, adding description, structured salary, benefits, coordinates, and more.

Q: Can I search for remote jobs? A: Yes. Set location to "Remote" to find remote positions.

Q: How many results can I get per search? A: ZipRecruiter typically shows ~20 results per page with many pages available. Use maxPages to control pagination depth.

📬 Support

• Feature requests: Let us know what you need
• Custom solutions: Contact us for enterprise integrations or high-volume needs

Check out our other scrapers: SilentFlow on Apify