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.

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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}
}

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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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