Jobs Search Scraper API

API ID 12456

Real-time job listings via REST. Filter by keyword, location, job type, date, and company. Structured JSON with direct apply links.

1,885 ms avg response

API Documentation

Endpoints

Request

Search and retrieve live job listings from job boards. Pass keywords, location, job type, and date filters to get structured JSON results with job titles, company names, salaries, and direct apply links.

Endpoint ID: 23599
POST https://zylalabs.com/api/12456/jobs+search+scraper+api/23599/search+jobs
INPUT PARAMETERS

Search Jobs — Endpoint Features

Object Description
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
{"success":true,"count":0,"jobs":[],"query":{"countryName":"all","includeKeyword":"software engineer","locationName":"New York","companyName":null,"jobType":"FULLTIME","datePosted":"month","pagesToFetch":1}}
Search Jobs — CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/12456/jobs+search+scraper+api/23599/search+jobs' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"includeKeyword": "software engineer", "locationName": "New York", "jobType": "FULLTIME"}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Jobs Search Scraper API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Minimum annual contract: USD 10,000

Trusted by leading companies

Overview

Search and extract live job listings from Google Jobs with a single API call. No scraping setup, no browser automation — just clean, structured JSON delivered fast via smart caching.

What you get per listing:

Job title, company name, location (or Remote), salary range (when available), employment type, posting date, source platform, and a direct apply URL.

Parameters:

  • includeKeyword (required) — role or skill to search (e.g. "software engineer")
  • locationName — city, state, or country to narrow results
  • countryName — two-letter country code or "all" for global
  • jobType — FULLTIME, PARTTIME, CONTRACTOR, or INTERN
  • datePosted — today, 3days, week, or month
  • pagesToFetch — number of result pages (default: 1)

Why it's fast:

Popular queries are pre-warmed in a dual-layer cache (Redis + SQLite). Repeated searches return instantly while fresh data is fetched in the background.

Use cases:

  • Job boards & aggregators — populate listings without maintaining your own scraper
  • Recruiting tools — surface new openings for a target role the moment they post
  • Market research — track hiring velocity by role, location, or industry
  • Salary benchmarking — collect compensation data at scale
  • AI job assistants — feed real-time postings into LLM-powered job matching

Jobs Search Scraper API FAQs

The Search Jobs endpoint returns live job listings, including details such as job title, company name, location, salary range (if available), employment type, posting date, source platform, and a direct apply URL.

Key fields in the response data include "job_title," "company_name," "location," "salary," "job_type," "date," "posted_via," and "URL," which provide essential information about each job listing.

The response data is structured in JSON format, with a top-level object containing a "success" flag, a "count" of listings, and a "jobs" array that holds individual job objects, each containing detailed job information.

The Search Jobs endpoint accepts parameters such as "includeKeyword" (required), "locationName," "countryName," "jobType," "datePosted," and "pagesToFetch," allowing users to customize their job search queries.

The endpoint provides information on job titles, companies, locations, salary ranges, employment types, posting dates, and direct application links, enabling users to access comprehensive job listings.

Data accuracy is maintained through a dual-layer caching system (Redis + SQLite) that ensures popular queries return quickly while fresh data is fetched in the background, minimizing stale information.

Typical use cases include populating job boards, enhancing recruiting tools, conducting market research on hiring trends, benchmarking salaries, and integrating real-time job postings into AI job assistants.

Users can utilize the returned data by parsing the JSON response to extract relevant job details, filtering listings based on specific criteria, and integrating the direct apply URLs into their applications or platforms for seamless job applications.

General FAQs

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