Job Description Parser API
Transform unstructured job descriptions into structured data. Extract required skills, experience levels, qualifications, and more.
The Problem
- Job descriptions are unstructured text
- Extracting requirements requires manual work
- Unreliable regex patterns miss context
- No standardization across job boards
Our Solution
- 95%+ accuracy extracting 50+ fields
- Distinguish required vs preferred skills
- Real-time processing under 500ms
- Works with any JD format or source
Key Features
Skill Extraction
Identify required vs. preferred skills. Normalize skill names and categorize by type (technical, soft skills, certifications).
Experience Parsing
Extract years of experience required, seniority level, and specific domain experience (e.g., '5+ years in healthcare').
Salary Detection
Extract salary ranges, hourly rates, and compensation details from job postings. Normalize to annual figures.
Location & Remote
Parse location requirements, remote/hybrid options, relocation assistance, and visa sponsorship status.
Education Requirements
Extract degree requirements (Bachelor's, Master's, PhD), fields of study, and equivalent experience clauses.
Company & Benefits
Identify company name, industry, benefits mentioned, and cultural values from the job description.
What Our Customers Say
"The JD Parser API transformed our job board data quality. We can now match candidates accurately because the skills extraction is so precise."
"Processing 10,000+ job postings daily with real-time parsing. The salary and location extraction alone saved us months of manual work."
Technical Specifications
- Input Formats
- Plain text / HTML / PDF / DOCX
- Output Format
- JSON
- Max Text Length
- 50,000 characters
- Avg Response Time
- Under 500ms
- Uptime
- 99.9%
- Rate Limit
- 2000 requests/minute
- Authentication
- API Key
Common Use Cases
- Job board data normalization
- Candidate-job matching
- Salary benchmarking
- Skills gap analysis
- Compliance auditing
Frequently Asked Questions
What data fields can the JD Parser extract?
We extract 50+ fields including job title, required/preferred skills, experience level, education, salary range, location, remote status, benefits, company info, and more.
Can it distinguish between required and nice-to-have skills?
Yes, our AI identifies the context around each skill mention to classify them as required, preferred, or bonus qualifications.
Does it work with job descriptions in different languages?
Yes, we support job descriptions in 100+ languages with language-specific understanding of job posting conventions.
How do I integrate the JD Parser with my ATS?
Our REST API accepts job descriptions via POST request and returns structured JSON. Most integrations take 1-2 days to implement.
How accurate is the JD Parser?
We target 95%+ accuracy on core entities like required skills, experience level, education requirements, and location. The parser combines LLMs with rule-based logic for flexibility and consistency in production.
What file formats does the JD Parser support?
The JD Parser accepts plain text, HTML, PDF, and DOCX formats. Most job boards and ATS platforms send JDs as plain text or HTML, which we process natively.
How long does integration typically take?
Most teams integrate the JD Parser API into staging in 1-2 days. The API is RESTful - you POST a job description and get back structured JSON with all extracted fields. Production deployment timing depends on how you use the parsed data in your workflows.
How does the JD Parser handle data security?
All job description data is processed over encrypted HTTPS/TLS channels. For customers who need complete data control, we offer self-hosted deployment in your own cloud environment.
Can we self-host the JD Parser in our cloud?
Yes. Choose between our managed cloud API or deploy into your AWS, GCP, or Azure environment. Self-hosted gives you full data control and flat-rate pricing instead of per-parse billing.
What's the pricing for the JD Parser?
Our pricing starts at $0.03 per parse with volume discounts for high-traffic job boards and ATS platforms. We also offer self-hosted plans with unlimited parsing for a fixed monthly platform fee.
Ready to try JD Parser?
Get started with a free demo and sandbox access. See results in minutes.