Job Search Engines πΌ
Pricing
Pay per event
Job Search Engines πΌ
Stop juggling multiple job boards. Aggregate listings from LinkedIn, Indeed, Glassdoor, and regional platforms in a single API call.
Pricing
Pay per event
Rating
5.0
(4)
Developer

NextAPI
Actor stats
12
Bookmarked
238
Total users
59
Monthly active users
11 hours
Issues response
5 hours ago
Last modified
Categories
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Job Search Engines
One API. Multiple platforms. Thousands of jobs.
Stop juggling multiple job boards. Aggregate listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, and regional platforms in a single API call. Get unified, structured data with salary insights, company details, and full job descriptionsβready for your ATS, analytics dashboard, or AI recruitment pipeline.
π Why choose this Actor?
Built for comprehensive job market intelligence, this Actor aggregates multiple job platforms into one unified data stream.
| Feature | Job Search Engines | Bright Data | ScraperAPI | Zyte |
|---|---|---|---|---|
| Pricing Model | β $0.003/job | β $500+/month | β $49+/month | β Enterprise only |
| Platforms | β 5+ in one API | β Multiple | β οΈ Limited | β οΈ Limited |
| No Commitment | β Pay-per-result | β Monthly contract | β Monthly contract | β Annual contract |
| Regional Platforms | β Naukri, Bayt, etc | β οΈ Major only | β No | β No |
| Unified Schema | β Normalized output | β Yes | β οΈ Varies | β Yes |
| Setup Complexity | β No-code, 1-click | β οΈ Technical setup | β οΈ API integration | β Complex setup |
π‘ Unique Advantages
- Multi-Platform Aggregation: Search LinkedIn, Indeed, Glassdoor, ZipRecruiter, Naukri, and Bayt in a single API callβno need to run multiple scrapers.
- Unified Schema: All job data normalized into a consistent formatβno manual data cleaning or field mapping required.
- Smart Region Detection: Automatically selects the best platforms based on your target country (e.g., Naukri for India, Bayt for Middle East).
π Key Features
π Comprehensive Job Market Intelligence
- π― Multi-Platform Aggregation: Search LinkedIn, Indeed, Glassdoor, ZipRecruiter, Naukri (India), and Bayt (Middle East) in a single API call.
- π Complete Job Details: Extract job titles, descriptions, requirements, employment types, seniority levels, and remote work options.
- π° Salary Intelligence: Get salary ranges, currency, and payment periods (hourly/monthly/yearly) when available.
- π’ Company Enrichment: Includes company name, industry, size, revenue, ratings, reviews, logo, and official website.
- π Global Coverage: Support for 60+ countries with automatic platform selection based on region.
π― Use Cases
πΌ Recruitment & HR Tech
- ATS Integration: Feed structured job data directly into your Applicant Tracking System for automated job matching.
- Talent Pipeline: Monitor new job postings to identify companies hiring for specific roles and reach out proactively.
- Competitive Hiring Intelligence: Track what roles competitors are hiring for and at what salary ranges.
- Recruitment Marketing: Aggregate job market data to create content for job seekers and attract candidates.
π Job Aggregator Platforms
- Job Board Population: Build your own job aggregator by pulling listings from multiple sources automatically.
- Niche Job Sites: Create specialized job boards for specific industries, roles, or regions.
- Job Alert Services: Power email/SMS job alerts by monitoring new postings matching user criteria.
- Market Coverage: Ensure comprehensive job coverage by aggregating from all major platforms.
π° Market Research & Analytics
- Salary Benchmarking: Analyze salary data across roles, locations, and industries to inform compensation decisions.
- Labor Market Trends: Track hiring patterns, emerging skills demand, and job market health by region.
- Skills Gap Analysis: Identify most-requested skills and qualifications across job postings.
- Industry Reports: Generate data-driven reports on hiring trends, salary ranges, and job market conditions.
π Career Services & Education
- Career Counseling: Help students and job seekers understand what skills employers are looking for.
- Curriculum Development: Align educational programs with current job market demands.
- Job Market Research: Provide students with real-time data on job availability and salary expectations.
- Alumni Services: Match alumni with relevant job opportunities based on their skills and experience.
π° Pricing
| Resource | Cost | Description |
|---|---|---|
| Actor Usage | $0.00001 | Charged for Actor runtime. Cost depends on resource consumption during execution. |
| Job Details | $0.00296 | Charged for each job posting scraped. Includes complete metadata such as salary, company, and location. This is a flat fee per job. |
Example Cost Calculation:
- Searching 3 keywords Γ 4 platforms Γ 100 jobs each = 1,200 jobs max
- Cost: 1,200 Γ $0.00296 = $3.55 + minimal runtime fees
π§ How it Works
π» Input Parameters
{"search_terms": ["Software Engineer", "Data Analyst"],"country": "United States","location": "New York","posted_since": "1 months","max_results": 100}
| Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
search_terms | string[] | β | Keywords to search: job titles, skills, or company names | ["Python Developer", "Data Analyst"] |
country | string | β | Target country for job search (60+ countries supported) | United States |
location | string | β | City or region within the country (optional) | New York |
posted_since | string | β | Filter jobs posted within this period ("7 days", "1 months") | 1 months |
max_results | integer | β | Number of jobs to fetch per platform per keyword (min: 10) | 100 |
π€ Output Structure
{"processor": "https://apify.com/nextapi/job-search-engines","processed_at": "2025-11-20T14:30:00+00:00","platform": "LinkedIn","platform_url": "https://www.linkedin.com/jobs/view/3958472615","official_url": "https://company.com/careers/senior-python-developer","title": "Senior Python Developer","posted_date": "2025-11-18T00:00:00+00:00","location": "San Francisco, CA","is_remote": true,"description": "We are looking for a Senior Python Developer to join our team...\n\n## Requirements\n- 5+ years of Python experience\n- Strong knowledge of Django/FastAPI\n- Experience with cloud platforms (AWS/GCP)","job_type": "full-time","job_level": "senior","job_function": "Engineering","listing_type": "standard","emails": "careers@company.com","skills": "Python, Django, FastAPI, AWS, PostgreSQL","work_from_home": "hybrid","vacancy_count": 2,"experience_range": "5-8 years","salary_period": "yearly","salary_minimum": 150000,"salary_maximum": 200000,"salary_currency": "USD","company_name": "TechCorp Inc.","company_industry": "Technology","company_url": "https://www.linkedin.com/company/techcorp","company_website": "https://www.techcorp.com","company_logo": "https://media.licdn.com/company/techcorp/logo.png","company_addresses": "123 Market Street, San Francisco, CA 94105","company_revenue": "$50M - $100M","company_description": "TechCorp is a leading software company specializing in AI solutions...","company_rating": 4.2,"employee_count": "500-1000","review_count": 245}
π Output Fields Description
Job Information
| Field | Type | Description |
|---|---|---|
processor | string | URL of the Apify actor that processed this data |
processed_at | string | ISO 8601 timestamp when the data was processed |
status | string | Status of the job listing |
platform | string | Source platform (LinkedIn, Indeed, Glassdoor, etc.) |
platform_url | string | Job URL on the platform |
official_url | string | Direct link to company's job posting |
title | string | Job position title |
posted_date | string | Date when job was posted |
location | string | Job location or city |
is_remote | boolean | Whether the job allows remote work |
description | string | Full job description in markdown format |
job_type | string | Employment type (full-time, part-time, contract) |
job_level | string | Seniority level (entry, mid, senior, executive) |
job_function | string | Job category or function area |
listing_type | string | Type of job listing (standard, featured, sponsored) |
emails | string | Contact emails found in job posting |
skills | string | Required skills and technologies |
work_from_home | string | Work arrangement (remote, hybrid, on-site) |
vacancy_count | integer | Number of open positions |
experience_range | string | Required years of experience |
Salary Information
| Field | Type | Description |
|---|---|---|
salary_period | string | Payment period (yearly, monthly, hourly) |
salary_minimum | number | Minimum salary amount |
salary_maximum | number | Maximum salary amount |
salary_currency | string | Currency code (USD, EUR, GBP, etc.) |
Company Information
| Field | Type | Description |
|---|---|---|
company_name | string | Name of the hiring company |
company_industry | string | Industry sector of the company |
company_url | string | Company profile URL on job platform |
company_website | string | Official company website |
company_logo | string | URL to company logo image |
company_addresses | string | Company office locations |
company_revenue | string | Annual revenue range |
company_description | string | About the company |
company_rating | number | Company rating score (out of 5) |
employee_count | string | Number of employees |
review_count | integer | Number of company reviews |
π Integrations
Seamlessly connect this actor to your existing pipelines via the Apify API.
π Actor ID:
8QfidRKcSVYICkwrq
Python Client
from apify_client import ApifyClientclient = ApifyClient("YOUR_API_TOKEN")run = client.actor("nextapi/job-search-engines").call(run_input={"max_results": 100,"posted_since": "1 months","country": "United States","location": "San Francisco","search_terms": ["Python Developer", "Data Engineer"]})for job in client.dataset(run["defaultDatasetId"]).iterate_items():print(f"{job['title']} at {job['company_name']} - ${job.get('salary_minimum', 'N/A')}")
Node.js Client
import { ApifyClient } from "apify-client";const client = new ApifyClient({ token: "YOUR_API_TOKEN" });const run = await client.actor("nextapi/job-search-engines").call({max_results: 100,posted_since: "1 months",country: "United States",location: "San Francisco",search_terms: ["Python Developer", "Data Engineer"],});const { items } = await client.dataset(run.defaultDatasetId).listItems();items.forEach((job) => console.log(`${job.title} at ${job.company_name}`));
π¦ LangChain
Use this actor as a document loader in LangChain to power your RAG pipelines with job market data for career advice chatbots.
ποΈ Metadata for Developers (JSON-LD)
{"@context": "https://schema.org","@type": "SoftwareApplication","name": "Job Search Engines","applicationCategory": "DeveloperApplication","operatingSystem": "Cloud","offers": {"@type": "Offer","price": "0.00","priceCurrency": "USD"},"description": "Multi-platform job scraper aggregating listings from LinkedIn, Indeed, Glassdoor, and regional job boards with unified schema and automatic proxy rotation."}
π Performance Tips
Optimize your runs for speed, cost, and reliability with these best practices:
π° Cost Optimization
- Start Small: Test with
max_results: 10and a single search term before scaling up. - Monitor Costs: Check the "Usage" tab in Apify Console for real-time cost tracking. Each job costs $0.00296.
- Narrow Search: Use specific job titles instead of broad keywords to reduce irrelevant results.
β‘ Speed Optimization
- Fewer Keywords: Each search term multiplies by platforms. 3 keywords Γ 4 platforms = 12 parallel searches.
- Regional Focus: Specify a location to reduce results and speed up processing.
- Recent Posts: Use shorter
posted_sinceperiods (e.g., "7 days") for faster results.
π‘οΈ Reliability Best Practices
- Valid Country: Ensure the country name matches exactly (e.g., "United States", not "USA").
- Monitor Progress: Use Apify Console's live log to track scraping progress across platforms.
- Partial Results: If a platform fails, results from other platforms are still saved.
π Data Quality Tips
- Salary Data: Not all jobs include salary info. Filter by
salary_minimumfield to get jobs with disclosed salaries. - Fresh Data: Job postings change rapidly. Schedule daily runs for time-sensitive applications.
- Remote Jobs: Filter by
is_remote: trueor checkwork_from_homefield for remote opportunities.
β FAQ
How to export job listings to Excel?
After the run completes, go to the Output tab in the Apify Console. Click the Export button and select Excel format. You will receive a neatly formatted spreadsheet with all job listings ready for analysis.
Which job platforms are supported?
We support LinkedIn, Indeed, Glassdoor, ZipRecruiter (US/Canada), Naukri (India), and Bayt (Middle East). Platform selection is automatic based on your chosen country.
How do I search for remote jobs only?
Currently, the actor fetches all matching jobs. Filter the results by checking the is_remote field (boolean) or work_from_home field for remote/hybrid opportunities.
Why are some salary fields empty?
Not all job postings include salary information. Approximately 30-40% of jobs disclose salary ranges. Use the salary_minimum field to filter jobs with disclosed compensation.
How long does a typical scrape take?
Runtime depends on the number of search terms, platforms, and max_results setting. A typical run with 2-3 keywords and 100 results per platform completes in 2-5 minutes.
Why do some job titles not match my search keywords?
This is expected behavior. Each platform (LinkedIn, Indeed, Glassdoor, etc.) uses its own search algorithm that considers job relevance, not just exact keyword matching. Platforms may return jobs based on:
- Related job titles and synonyms (e.g., "Developer" may return "Engineer" roles)
- Skills mentioned in job descriptions
- Industry and category associations
- Location-based relevance
This is the same behavior you would see when searching directly on these platforms.
βοΈ Legal & Compliance
This actor scrapes publicly available job postings only. It does not log in, access private data, or collect personal information of job seekers. You are responsible for adhering to each platform's Terms of Service and applicable privacy laws (GDPR/CCPA).
π·οΈ Job Search Engines
π₯ Search Terms: job search api, job scraper, linkedin jobs scraper, indeed scraper, glassdoor api, job aggregator, job board scraper, recruitment data api, job listing extractor, salary data scraper, job market intelligence, hiring trends api, job posting scraper, multi-platform job search, job data aggregation, employment data api, job search automation, bulk job scraper, job feed api, career data extraction, job monitoring tool, recruitment automation, talent acquisition data, job board api, ziprecruiter scraper
πΌ Use Case: job-aggregation recruitment-automation salary-benchmarking labor-market-research talent-acquisition hr-tech job-board-development career-services competitive-hiring-intelligence workforce-analytics job-alert-systems ats-integration recruitment-marketing skills-gap-analysis employment-trends compensation-research job-market-monitoring
π€ Support & Community
- π§ Support: Contact Us | π¬ Community: Telegram Group
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