ZipRecruiter Job Scraper

Extract thousands of job listings from ZipRecruiter to power market research, salary benchmarking, and automated job alerts — for just $1 per 1,000 jobs.

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What can ZipRecruiter Job Scraper do for you?

• Build a custom job database — Collect titles, companies, locations, descriptions, and employment types from any ZipRecruiter search query.
• Monitor salary trends — Track compensation data across regions, industries, and job types with structured, normalized output.
• Automate job alert systems — Feed scraped listings into your own platform, dashboard, or CRM without manual copy-paste.
• Analyze hiring demand — Understand which skills, locations, and roles employers are posting for — in real time.
• Enrich recruitment workflows — Use structured job data to power internal tools, recommendation engines, or market intelligence reports.

What data can you extract?

Field	Description
🏷️ Job Title	Full job posting title
🏢 Company Name	Hiring organization name
🌍 Location	City, state/region, country, and postal code
📄 Description	Full job description text
💼 Employment Type	Full-time, part-time, contract, etc.
📅 Date Posted	When the listing was published
🔗 Job URL	Direct link to the original posting
✅ Direct Apply	Whether the job supports direct applications
📍 Coordinates	Latitude and longitude of the job location
🏛️ Company URL	Company website and social links

Why use this scraper?

• 🔬 Market Research — Analyze job market trends, in-demand skills, and salary ranges across industries and locations.
• 📊 Competitive Intelligence — Track which companies are hiring, where, and for what roles to spot industry shifts.
• ⚙️ Process Automation — Replace manual job board browsing with structured, scheduled data extraction.
• 📈 Data-Driven Hiring — Build your own job aggregation platform or feed data into analytics dashboards.

Pricing

• $1/1,000 jobs
• No hidden fees or limits on usage.

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How to use ZipRecruiter Job Scraper

1. Create a free Apify account at console.apify.com.
2. Open the ZipRecruiter Job Scraper and click Try for free.
3. Enter your search terms — Add job titles, keywords, locations, and radius.
4. Configure advanced options — Set a maximum job limit or proxy preferences.
5. Start the scrape — Click Run and wait for the results.
6. Download your data — Export as JSON, CSV, or Excel from the dataset.

Input

The actor accepts the following input parameters:

Field	Type	Required	Description
searchQueries	array	✅ Yes	Job search terms (e.g., "Python Developer", "Data Scientist")
locations	array	❌ No	Job locations (e.g., "Berlin", "New York, NY"). Leave empty for nationwide search
radius	integer	❌ No	Search radius in miles (0 = any distance). Range: 0–200
maxJobs	integer	❌ No	Maximum number of job listings to scrape (0 = unlimited)
proxyConfiguration	object	❌ No	Proxy settings for anti-bot protection

📝 Copy for Use:

{
    "searchQueries": ["Web Developer"],
    "locations": ["Berlin"],
    "radius": 0,
    "maxJobs": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

🖼️ Output

Why Choose This Scraper?

• Affordable: Pay only $1 per 1,000 jobs scraped.
• Comprehensive: Extract 16+ data points per listing including title, company, full description, location, employment type, and geo-coordinates.
• Easy to Use: Simple input schema — just enter search terms and locations to start scraping immediately.
• Reliable: Built with Chrome TLS impersonation, automatic retries, and residential proxy support for consistent results.

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🙌 Why Buy Through Our Affiliate Link?

• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
• Support Our Work: Each purchase helps us maintain and improve the tools and services we provide.
• No Extra Cost: You pay the same price, but part of it goes to supporting our efforts.

Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR-API-TOKEN")

run_input = {
    "searchQueries": ["Web Developer"],
    "locations": ["Berlin"],
    "radius": 0,
    "maxJobs": 5,
    "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"] },
}

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

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR-API-TOKEN' });

const runInput = {
    searchQueries: ["Web Developer"],
    locations: ["Berlin"],
    radius: 0,
    maxJobs: 5,
    proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] },
};

const run = await client.actor("rigelbytes/ziprecruiter-scraper").call(runInput);

cURL

curl "https://api.apify.com/v2/acts/rigelbytes~ziprecruiter-scraper/runs?token=YOUR-API-TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["Web Developer"],
    "locations": ["Berlin"],
    "radius": 0,
    "maxJobs": 5,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
  }'

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "title": "Web Developer",
    "url": "https://www.ziprecruiter.com/jobs/web-developer-123",
    "datePosted": "2025-01-15",
    "validThrough": "2025-03-15",
    "description": "We are looking for a skilled Web Developer to join our team...",
    "employmentType": "FULL_TIME",
    "directApply": true,
    "companyName": "Tech Corp",
    "companyUrl": "https://techcorp.com",
    "companySameAs": "",
    "locationLocality": "Berlin",
    "locationRegion": "Berlin",
    "locationCountry": "DE",
    "locationPostalCode": "10115",
    "latitude": "52.5200",
    "longitude": "13.4050"
  },
  {
    "title": "Senior Frontend Engineer",
    "url": "https://www.ziprecruiter.com/jobs/senior-frontend-engineer-456",
    "datePosted": "2025-01-14",
    "validThrough": "2025-02-28",
    "description": "Senior Frontend Engineer position at a leading SaaS company...",
    "employmentType": "FULL_TIME",
    "directApply": false,
    "companyName": "SaaS Solutions Inc.",
    "companyUrl": "https://saas-solutions.com",
    "companySameAs": "https://linkedin.com/company/saas-solutions",
    "locationLocality": "New York",
    "locationRegion": "NY",
    "locationCountry": "US",
    "locationPostalCode": "10001",
    "latitude": "40.7128",
    "longitude": "-74.0060"
  }
]