---
title: "Job Scraping API - Aggregate Job Listings & Postings"
description: "Job scraping API to aggregate job postings from any board or careers page. Build job boards and analyze hiring trends with WebScraping.AI."
url: https://webscraping.ai/use-cases/job-listing-aggregation
markdown_index: https://webscraping.ai/llms.txt
---
JOB MARKET & HR

# Job Scraping & Listing Aggregation

Job scraping at scale: pull job postings from any board or careers page to build job boards, analyze hiring trends, and research compensation.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs)

## Job Data Is Scattered

Job listings are spread across hundreds of job boards, company career pages, and staffing sites. Building a comprehensive view of the job market requires aggregating from all these sources.

Each platform has different formats and structures. Manual collection doesn't scale, and APIs are often limited or expensive.

#### WebScraping.AI Solution

- **Any Source:** Extract jobs from any job board or careers page
- **Structured Data:** Get uniform job data regardless of source format
- **Rich Details:** Capture salary, requirements, benefits, and more
- **AI-Powered:** Intelligent extraction handles varying page layouts

## Job Data Extraction

Capture complete job listing details

#### Job Details

Title, description, requirements, and responsibilities.

#### Compensation

Salary ranges, benefits, and equity information.

#### Company Info

Employer name, size, industry, and location.

#### Requirements

Skills, experience level, and qualifications.

## Code Examples

Extract job listing data from any source

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://company.com/careers/senior-engineer" \
  --data-urlencode "fields[job_title]=Job title" \
  --data-urlencode "fields[company]=Company name" \
  --data-urlencode "fields[location]=Job location" \
  --data-urlencode "fields[remote]=Is remote work available (yes/no/hybrid)" \
  --data-urlencode "fields[salary_min]=Minimum salary if listed" \
  --data-urlencode "fields[salary_max]=Maximum salary if listed" \
  --data-urlencode "fields[experience_level]=Required experience level" \
  --data-urlencode "fields[employment_type]=Full-time, part-time, contract, etc." \
  --data-urlencode "fields[required_skills]=Required skills, comma-separated" \
  --data-urlencode "fields[benefits]=Benefits mentioned, comma-separated" \
  --data-urlencode "fields[description]=Job description summary" \
  --data-urlencode "fields[posted_date]=When the job was posted"
# Response:
# {
# "result": {
# "job_title": "Senior Software Engineer",
# "company": "TechCorp",
# "location": "San Francisco, CA",
# "remote": "hybrid",
# "salary_min": "150000",
# "salary_max": "200000",
# "experience_level": "5+ years",
# "employment_type": "Full-time",
# "required_skills": "Python, AWS, PostgreSQL, React",
# "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
# "description": "Join our team to build...",
# "posted_date": "January 3, 2026"
# }
# }
```

**Python**

```python
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://company.com/careers/senior-engineer",
    fields={
        "job_title": "Job title",
        "company": "Company name",
        "location": "Job location",
        "remote": "Is remote work available (yes/no/hybrid)",
        "salary_min": "Minimum salary if listed",
        "salary_max": "Maximum salary if listed",
        "experience_level": "Required experience level",
        "employment_type": "Full-time, part-time, contract, etc.",
        "required_skills": "Required skills, comma-separated",
        "benefits": "Benefits mentioned, comma-separated",
        "description": "Job description summary",
        "posted_date": "When the job was posted",
    },
)
print(result)
# Response:
# {
# "result": {
# "job_title": "Senior Software Engineer",
# "company": "TechCorp",
# "location": "San Francisco, CA",
# "remote": "hybrid",
# "salary_min": "150000",
# "salary_max": "200000",
# "experience_level": "5+ years",
# "employment_type": "Full-time",
# "required_skills": "Python, AWS, PostgreSQL, React",
# "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
# "description": "Join our team to build...",
# "posted_date": "January 3, 2026"
# }
# }
```

**JavaScript**

```javascript
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://company.com/careers/senior-engineer',
  fields: {
    job_title: 'Job title',
    company: 'Company name',
    location: 'Job location',
    remote: 'Is remote work available (yes/no/hybrid)',
    salary_min: 'Minimum salary if listed',
    salary_max: 'Maximum salary if listed',
    experience_level: 'Required experience level',
    employment_type: 'Full-time, part-time, contract, etc.',
    required_skills: 'Required skills, comma-separated',
    benefits: 'Benefits mentioned, comma-separated',
    description: 'Job description summary',
    posted_date: 'When the job was posted',
  },
});
console.log(result);
// Response:
// {
// "result": {
// "job_title": "Senior Software Engineer",
// "company": "TechCorp",
// "location": "San Francisco, CA",
// "remote": "hybrid",
// "salary_min": "150000",
// "salary_max": "200000",
// "experience_level": "5+ years",
// "employment_type": "Full-time",
// "required_skills": "Python, AWS, PostgreSQL, React",
// "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
// "description": "Join our team to build...",
// "posted_date": "January 3, 2026"
// }
// }
```

**PHP**

```php
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://company.com/careers/senior-engineer', [
    'job_title' => 'Job title',
    'company' => 'Company name',
    'location' => 'Job location',
    'remote' => 'Is remote work available (yes/no/hybrid)',
    'salary_min' => 'Minimum salary if listed',
    'salary_max' => 'Maximum salary if listed',
    'experience_level' => 'Required experience level',
    'employment_type' => 'Full-time, part-time, contract, etc.',
    'required_skills' => 'Required skills, comma-separated',
    'benefits' => 'Benefits mentioned, comma-separated',
    'description' => 'Job description summary',
    'posted_date' => 'When the job was posted',
]);
print_r($result);
// Response:
// {
// "result": {
// "job_title": "Senior Software Engineer",
// "company": "TechCorp",
// "location": "San Francisco, CA",
// "remote": "hybrid",
// "salary_min": "150000",
// "salary_max": "200000",
// "experience_level": "5+ years",
// "employment_type": "Full-time",
// "required_skills": "Python, AWS, PostgreSQL, React",
// "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
// "description": "Join our team to build...",
// "posted_date": "January 3, 2026"
// }
// }
```

**Ruby**

```ruby
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://company.com/careers/senior-engineer',
  fields: {
    job_title: 'Job title',
    company: 'Company name',
    location: 'Job location',
    remote: 'Is remote work available (yes/no/hybrid)',
    salary_min: 'Minimum salary if listed',
    salary_max: 'Maximum salary if listed',
    experience_level: 'Required experience level',
    employment_type: 'Full-time, part-time, contract, etc.',
    required_skills: 'Required skills, comma-separated',
    benefits: 'Benefits mentioned, comma-separated',
    description: 'Job description summary',
    posted_date: 'When the job was posted',
  }
)
puts result.inspect
# Response:
# {
# "result": {
# "job_title": "Senior Software Engineer",
# "company": "TechCorp",
# "location": "San Francisco, CA",
# "remote": "hybrid",
# "salary_min": "150000",
# "salary_max": "200000",
# "experience_level": "5+ years",
# "employment_type": "Full-time",
# "required_skills": "Python, AWS, PostgreSQL, React",
# "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
# "description": "Join our team to build...",
# "posted_date": "January 3, 2026"
# }
# }
```

**Go**

```go
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://company.com/careers/senior-engineer",
        Fields: map[string]string{
            "job_title": "Job title",
            "company": "Company name",
            "location": "Job location",
            "remote": "Is remote work available (yes/no/hybrid)",
            "salary_min": "Minimum salary if listed",
            "salary_max": "Maximum salary if listed",
            "experience_level": "Required experience level",
            "employment_type": "Full-time, part-time, contract, etc.",
            "required_skills": "Required skills, comma-separated",
            "benefits": "Benefits mentioned, comma-separated",
            "description": "Job description summary",
            "posted_date": "When the job was posted",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
// "result": {
// "job_title": "Senior Software Engineer",
// "company": "TechCorp",
// "location": "San Francisco, CA",
// "remote": "hybrid",
// "salary_min": "150000",
// "salary_max": "200000",
// "experience_level": "5+ years",
// "employment_type": "Full-time",
// "required_skills": "Python, AWS, PostgreSQL, React",
// "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
// "description": "Join our team to build...",
// "posted_date": "January 3, 2026"
// }
// }
```

**Java**

```java
// Maven: ai.webscraping:webscraping-ai:4.2.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://company.com/careers/senior-engineer")
    .addField("job_title", "Job title")
    .addField("company", "Company name")
    .addField("location", "Job location")
    .addField("remote", "Is remote work available (yes/no/hybrid)")
    .addField("salary_min", "Minimum salary if listed")
    .addField("salary_max", "Maximum salary if listed")
    .addField("experience_level", "Required experience level")
    .addField("employment_type", "Full-time, part-time, contract, etc.")
    .addField("required_skills", "Required skills, comma-separated")
    .addField("benefits", "Benefits mentioned, comma-separated")
    .addField("description", "Job description summary")
    .addField("posted_date", "When the job was posted")
    .build());
System.out.println(result.getResult());
// Response:
// {
// "result": {
// "job_title": "Senior Software Engineer",
// "company": "TechCorp",
// "location": "San Francisco, CA",
// "remote": "hybrid",
// "salary_min": "150000",
// "salary_max": "200000",
// "experience_level": "5+ years",
// "employment_type": "Full-time",
// "required_skills": "Python, AWS, PostgreSQL, React",
// "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
// "description": "Join our team to build...",
// "posted_date": "January 3, 2026"
// }
// }
```

**C#**

```csharp
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://company.com/careers/senior-engineer",
    Fields = new Dictionary<string, string> {
        ["job_title"] = "Job title",
        ["company"] = "Company name",
        ["location"] = "Job location",
        ["remote"] = "Is remote work available (yes/no/hybrid)",
        ["salary_min"] = "Minimum salary if listed",
        ["salary_max"] = "Maximum salary if listed",
        ["experience_level"] = "Required experience level",
        ["employment_type"] = "Full-time, part-time, contract, etc.",
        ["required_skills"] = "Required skills, comma-separated",
        ["benefits"] = "Benefits mentioned, comma-separated",
        ["description"] = "Job description summary",
        ["posted_date"] = "When the job was posted",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
// "result": {
// "job_title": "Senior Software Engineer",
// "company": "TechCorp",
// "location": "San Francisco, CA",
// "remote": "hybrid",
// "salary_min": "150000",
// "salary_max": "200000",
// "experience_level": "5+ years",
// "employment_type": "Full-time",
// "required_skills": "Python, AWS, PostgreSQL, React",
// "benefits": "Health insurance, 401k, Unlimited PTO, Equity",
// "description": "Join our team to build...",
// "posted_date": "January 3, 2026"
// }
// }
```

## Benefits of Job Data

**Build Job Boards:** Aggregate listings from multiple sources into one platform.

**Salary Research:** Analyze compensation data across roles and locations.

**Market Intelligence:** Track hiring trends by industry and skill.

**Competitive Intel:** Monitor competitor hiring and growth.

**Skills Analysis:** Identify in-demand skills and technologies.

#### Use Cases

**Job Board Aggregation**

Build comprehensive job search platforms

**Salary Benchmarking**

Research market rates for HR and recruiting

**Hiring Trend Analysis**

Track job market health and growth sectors

**Skills Gap Research**

Identify emerging skill requirements

## Related Use Cases

More data aggregation solutions

[Lead Generation](https://webscraping.ai/use-cases/b2b-lead-generation): Extract company data for recruiting.

[Alternative Data](https://webscraping.ai/use-cases/alternative-data-investment): Use hiring signals for investment analysis.

[CRM Enrichment](https://webscraping.ai/use-cases/crm-enrichment): Enrich candidate and company profiles.

## Start Aggregating Job Data

Get started with 2,000 free API credits. No credit card required.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)