Resume Parsing as a Step in Your HR Automation
Parsed resume data as input for your HR workflows
Between receiving a resume and onboarding a hire, HR teams copy the same candidate data between several systems by hand. Each handoff adds delay and room for error.
Resume Parser turns a PDF resume into JSON with one HTTP call. Your workflow tool (Zapier, n8n, or your own code) can call the API and pass the fields to your HRIS, ATS, or onboarding checklist. Parsing is synchronous and can take up to 60 seconds, so set your HTTP client timeout to at least 60 seconds.
How it works
- 1
Resume arrives
Applications come from job boards, career site forms, or email. Your intake step sends each PDF to the API.
- 2
API returns structured data
Contact details, links, work experiences, educations, and languages come back as JSON.
- 3
Your workflow acts on the fields
Your workflow tool uses the fields to create records, notify people, or route the application.
- 4
Downstream systems are pre-filled
HRIS records and onboarding forms start from the parsed name, contact details, and history instead of blank fields.
Key benefits
Parse once, reuse everywhere
The same JSON can feed your ATS, HRIS, and onboarding tools.
Plain HTTP
Any tool that can send a multipart POST with a header can call the API.
Pay per successful parse
50 free parses per month, then prepaid credits. Failed parses are not charged.
Frequently asked questions
Yes, through their HTTP request steps. Send the PDF as multipart field "file" to https://api.resumeparser.cc/v1/parse with the header Authorization: Bearer rp_live_... and use the returned fields in later steps.
No. The schema has contact details, links, work experiences, educations, and languages. Credentials mentioned inside a role or an education entry stay in that entry's text.
Parsing is synchronous and can take up to 60 seconds, so set your HTTP client timeout to at least 60 seconds. The rate limit is 30 requests per minute per API key, and the API can answer 503 busy when it is at capacity, so retry with a delay.
Related pages
ATS Resume Parsing That Fills Candidate Profiles
Parse PDF resumes into structured JSON and map the fields to your ATS through its own API. One synchronous REST call that can take up to 60 seconds. 50 free parses per month.
IntegrationsParse Resumes with Python
Parse PDF resumes with Python using the Resume Parser REST API. Setup with the requests library, rate-limit friendly batch processing, error handling, and structured JSON output.
SolutionsResume Parser for Staffing Agencies
Turn candidate CVs into ATS-ready JSON with one API call. Contact details, work history, education, and languages. Prepaid credits that don't expire. 50 free parses per month.
Use casesResume Parsing for Talent Analytics
Turn unstructured resumes into consistent JSON records you can load into a warehouse or BI tool: roles with dates, education, locations, and languages.
Try it in your workflow
Sign up with your email, get an API key, and use the 50 free parses per month.