{"slug":"netintel-dev-extract-resume-a5f863","title":"Extract structured data from resume/CV text using Claude Haiku — returns name, c","host":"netintel.dev","method":"POST","resource":"https://netintel.dev/extract/resume","category":"search","description":"Extract structured data from resume/CV text using Claude Haiku — returns name, contact info, skills, work experience, and education as clean JSON arrays so agents can automate applicant screening, candidate databases, and recruiting workflows from raw resume text.","price_listed":0.02,"price_asked":0.02,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":917,"reported_calls_30d":1,"reported_payers_30d":1,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"text":"Jane Doe\nSan Francisco, CA | jane@example.com | +1 555 867 5309 | linkedin.com/in/janedoe\n\nSummary: Senior engineer with 10 years experience.\n\nSkills: Python, TypeScript, Kubernetes\n\nExperience:\nStaff Engineer, Acme Corp (2020-present) — Led platform team\n\nEducation:\nBS Computer Science, UC Berkeley, 2014"},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"properties":{"text":{"description":"The resume or CV text to extract structured data from. Max 10000 words or 50KB.","type":"string"}},"required":["text"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"},"output":{"properties":{"example":{"properties":{"cached":{"description":"True if served from the in-memory cache.","type":"boolean"},"education_count":{"description":"Number of education entries extracted.","type":"number"},"experience_count":{"description":"Number of work-experience entries extracted.","type":"number"},"findings":{"description":"Informational findings (e.g. no_experience, no_skills, no_name).","items":{"type":"string"},"type":"array"},"grade":{"description":"Letter grade A-F","type":"string"},"resume":{"description":"Parsed resume fields: name, contact ({email, phone, location, links}), summary, skills (array), experience (array of {title, company, start, end, description}), education (array of {degree, institution, year}). Missing scalar fields are null; arrays are empty when nothing is found.","type":"object"},"score":{"description":"Quality score 0-100","type":"number"},"skills_count":{"description":"Number of skills extracted.","type":"number"}},"type":"object"},"type":{"type":"string"}},"required":["type"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-09-24","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.02,"price_match":true,"latency_ms":917,"error":null}],"description_full":"Extract structured data from resume/CV text using Claude Haiku — returns name, contact info, skills, work experience, and education as clean JSON arrays so agents can automate applicant screening, candidate databases, and recruiting workflows from raw resume text.","last_updated":"2026-09-03T00:29:50.374Z","schemes":["exact"]}