Resume / CV Parser (Claude)

Pass a PDF resume URL (or text). Returns structured JSON: name, email, phone, location, skills, education, experience with highlights, languages, links. Powered by Claude with strict schema. BYO Anthropic API key. $0.02 per resume.

⚡ Run in 30 seconds

1. Get a free Anthropic API key at console.anthropic.com
2. Enter a PDF resume URL or paste resume text into resumeText
3. Click Start — returns clean structured JSON with all fields extracted

{ "resumeUrl": "https://example.com/resume.pdf", "anthropicApiKey": "sk-ant-..." }

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Input Parameters

Parameter	Type	Default	Description
resumeUrl	string	``	Direct download URL of the resume file. Supports PDF and DOCX formats.
resumeText	string	``	Raw resume text (used if URL is empty).
model	string	claude-opus-4-7	Claude model.
anthropicApiKey	string	—	Get one at console.anthropic.com.
userAgent	string	``	Custom UA.

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Why this exists

Recruiters waste hours copying resume fields into ATS / spreadsheets. Existing solutions:

• Sovren Parser: $100+/mo
• Affinda: $99-499/mo
• Daxtra: enterprise quote
• HireAbility: $$$

This actor: $0.02 per resume + Anthropic tokens (~$0.01 per resume at Opus 4.7). Total ~$0.03 per resume — 50-100x cheaper than commercial parsers.

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What you get

{
  "source_url": "https://...resume.pdf",
  "parsed": {
    "name": "Jane Doe",
    "email": "jane@example.com",
    "phone": "+1-555-1234",
    "location": "San Francisco, CA",
    "headline": "Senior Software Engineer",
    "current_title": "Senior Software Engineer",
    "current_company": "Apple Inc.",
    "years_experience": 8,
    "skills": ["Python", "TypeScript", "AWS", "Kubernetes"],
    "languages": ["English (native)", "Mandarin (fluent)"],
    "links": {
      "linkedin": "https://linkedin.com/in/janedoe",
      "github": "https://github.com/janedoe",
      "portfolio": "https://janedoe.dev"
    },
    "education": [
      {"school":"MIT","degree":"BS","field":"Computer Science","start_year":"2014","end_year":"2018"}
    ],
    "experience": [
      {
        "company":"Apple Inc.","title":"Senior Software Engineer",
        "location":"Cupertino, CA",
        "start_date":"2022-01","end_date":null,"is_current":true,
        "highlights":["Shipped X feature reducing latency 35%","Led team of 6"]
      },
      ...
    ],
    "certifications": ["AWS Solutions Architect"],
    "publications": []
  },
  "model": "claude-opus-4-7",
  "input_chars": 4523,
  "usage": {"input_tokens": 1200, "output_tokens": 850}
}

---

Quick start

Single resume by URL

{
  "resumeUrl": "https://example.com/resumes/jane.pdf",
  "anthropicApiKey": "sk-ant-..."
}

Paste text (skip download)

{
  "resumeText": "JANE DOE\nSenior Software Engineer...\n",
  "model": "claude-haiku-4-5",
  "anthropicApiKey": "sk-ant-..."
}

Bulk via Apify Task

Create a Task with the API key + chain it: scrape resume URLs from a job board → for each URL, run this actor.

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Pricing

Pay-Per-Event: $0.02 per resume (Apify-side).

Anthropic tokens charged separately:

Model	Approx Anthropic cost
Claude Opus 4.7	$0.008-0.015
Claude Sonnet 4.6	$0.002-0.005
Claude Haiku 4.5	$0.0006-0.002

Total = $0.022-0.035 per resume. Vs commercial parsers ($0.50-2.00 per resume), this is 20-50x cheaper.

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Use cases

1. Recruiting agency — Bulk parse incoming PDFs into your ATS
2. HR / TA team — Stop pasting resume fields into Greenhouse / Lever / Workday
3. VC scout — Quickly process LinkedIn export PDFs of portfolio company candidates
4. Outbound sales — Enrich Sales Navigator exports with structured skill data
5. Research — Build a labor-market dataset from public CV samples

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Schema reference

The actor uses a strict schema covering:

• name, email, phone, location, headline, summary
• current_title, current_company, years_experience (int)
• skills (array of normalized strings)
• languages (array)
• links (linkedin, github, portfolio, twitter)
• education (array: school, degree, field, start_year, end_year)
• experience (array: company, title, location, start_date, end_date, is_current, summary, highlights)
• certifications (array)
• publications (array)

Fields not found are set to null (not omitted).

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Setting your Anthropic API key

See Article Summarizer README for the BYO key guide.

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Limitations

• Scanned PDFs (image-only) — Will return empty text → parser returns null fields.
• Non-English resumes — Claude handles 100+ languages, but normalize the language input accordingly.
• Heavy formatting — Tables/columns may yield slightly mangled order, but Claude usually recovers.

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Related actors (same author)

• PDF Text Extractor — Just the raw text, no parsing
• PDF → RAG Chunks — Chunk a corpus
• Article Summarizer

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Feedback

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Keywords: resume parser, CV parser, PDF resume extractor, DOCX resume parsing, LinkedIn profile scraper, ATS compatibility score, skills extractor resume, structured resume JSON, HR automation tool, recruiter data extraction, experience years calculator, resume to JSON, AI resume parsing, Claude resume analyzer