📄 Job Descriptions Extractor

Want to turn messy job descriptions into clean, structured data? This extractor uses AI to pull out all the key information from any job posting!

Just paste a job description text into the input, and the extractor will parse out up to 18 data points, neatly packing all the company details, technical skills, requirements, and benefits into a structured JSON dataset or CSV file.

💡 Perfect for...

• Recruiters & HR: Standardize job postings and analyze competitor requirements.
• Job Board Creators: Automatically structure scraped job postings for better search and filtering.
• Candidates & Career Coaches: Analyze the exact skills and knowledge needed for target roles.
• Data Analysts: Download clean, structured data for market trends, salary research, or skill demand visualizations.
• 🤖 OpenClaw & AI Agents: Power your autonomous recruiting or job-seeking agents with structured data.
• 🔗 Integrations: Perfect for structuring data scraped from LinkedIn, Glassdoor, Indeed, and other job listing platforms before feeding it to other apps.
• 📚 RAG Systems: Feed detailed job requirements and company data into Retrieval-Augmented Generation pipelines to match candidates with roles automatically.

✨ Why you'll love this extractor

• 🎯 Deep Extraction: Pulls out not just the basics, but highly specific details like work_model (Remote/Hybrid/Presential), seniority_level, and a clear separation between skills (tools/languages) and knowledge (concepts/methodologies).
• ⚙️ AI-Powered Accuracy: Uses advanced AI to understand the context of the text, ensuring high accuracy even with poorly formatted or unique job descriptions.
• ⏱️ Instant Structuring: Turns blocks of unstructured text into a highly organized database in seconds.

📦 What's inside the data?

For every job description you input, you will get:

• Company Info: company_name, company_description, company_website_url
• Role Details: job_title, department, field, seniority_level, job_description
• Logistics: location, work_model, salary_range
• Requirements: years_of_experience, education, languages
• Technical Specs: skills (e.g., Python, AWS), knowledge (e.g., Machine Learning, Agile)
• Role Specifics: responsibilities (list), benefits (list)

🚀 Quick start

1. Find a Job Posting on LinkedIn, Glassdoor, a company website, or anywhere else.
2. Copy the text of the job description.
3. Paste the text into the job_descriptions input array of the extractor. (You can paste multiple descriptions!)
4. Click Start and let the AI do its magic! ✨
5. Once it's done, you can export your structured data as a CSV, Excel spreadsheet, or JSON file.

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Tech details for developers 🧑‍💻

Input Example:

{
  "job_descriptions": [
    "Remote role\n\nAbout Reachdesk \ud83d\ude80\n\nReachdesk is a cutting-edge B2B gift and SWAG platform...[rest of description]"
  ]
}

Output Example:

{
  "company_name": "Reachdesk",
  "company_description": "Reachdesk is a cutting-edge B2B gift and SWAG platform that allows companies to deliver e-gifts, gifts, and bespoke merchandise.",
  "company_website_url": null,
  "field": "B2B Software / Technology",
  "department": "Engineering / Operations",
  "location": "London, Lisbon, New York",
  "work_model": "Remote",
  "job_title": "Business Systems Engineer (Automation & AI)",
  "seniority_level": "Mid-Senior",
  "job_description": "Identify inefficiencies across teams and design practical solutions using automation, integrations, internal tools, and AI to help Reachdesk scale operations.",
  "years_of_experience": "3+",
  "education": null,
  "languages": [],
  "skills": [
    "Zapier",
    "Make",
    "n8n",
    "Python",
    "JavaScript",
    "SQL",
    "APIs"
  ],
  "knowledge": [
    "Business Systems",
    "Automation Engineering",
    "Solutions Engineering",
    "RevOps Engineering",
    "Data transformations",
    "Data analysis"
  ],
  "responsibilities": [
    "Identify operational inefficiencies across the business and design scalable solutions.",
    "Build and maintain automations, integrations, and lightweight internal tools.",
    "Develop and maintain reliable data workflows.",
    "Evaluate and implement practical AI use cases that improve internal productivity."
  ],
  "benefits": [
    "Competitive salary with generous stock options.",
    "Flexible PTO.",
    "Super-friendly, collaborative working culture."
  ],
  "salary_range": null
}

Parameters:

Parameter	Type	Required	Description
job_descriptions	array of strings	Yes	List of unstructured job description texts to extract structured data from (Max: 100 per run).