Resume Extractor API transforms recruitment workflows by automating the extraction of structured resume data. The API captures details like candidate names, skills, work experience, education, and contact information. Supporting multiple input formats, including PDF files, URLs, and raw text, it adapts to diverse recruitment needs. Designed to meet the highest privacy standards, ResumePro Extractor processes resumes in real-time and retains no user data, ensuring full GDPR compliance. Its advanced skill normalization feature enhances data usability for candidate matching and analysis. The API integrates seamlessly into existing HR tools and CRMs, making it a cost-effective choice for businesses of all sizes. Future capabilities include job offer parsing and candidate-job matching, offering a complete recruitment ecosystem. Empower your hiring processes with ResumePro Extractor API to find the perfect talent faster and more effectively.
Send a POST request with the JSON body containing resume text, file, or URL. Receive structured details like contact information, experience, and skills.
Extract Data - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{"personalInformation":{"firstName":"Jane","lastName":"Smith","phoneNumber":"(123) 456-7891","emailAddress":"[email protected]","linkedinUrl":"","websiteUrl":"","headline":"Seasoned Customer Call Center Professional with a 15-year history of excelling in all call center functions."},"skills":[{"category":"Common Skill","skillName":"Customer Service","skillId":"KS121Z26S4VJLQ1WXN21"},{"category":"Specialized Skill","skillName":"De-escalation Techniques","skillId":"ES5BD288B5B33FF14750"},{"category":"Specialized Skill","skillName":"Standard Operating Procedure","skillId":"KS1248P6CJ6XH85L8SX2"},{"category":"Common Skill","skillName":"Team Leadership","skillId":"KS4418462TTGKL3CWJHT"},{"category":"Specialized Skill","skillName":"Service Level","skillId":"KS440HG6L2FMWJBJDZQK"},{"category":"Specialized Skill","skillName":"Customer Relationship Management","skillId":"KS1217P66NK6BW72M9FH"},{"category":"Specialized Skill","skillName":"Call Center Experience","skillId":"KS121BS6QFLZVY39PMHD"},{"category":"Common Skill","skillName":"Problem Solving","skillId":"KS125F678LV2KB3Z5XW0"},{"category":"Common Skill","skillName":"Reservations","skillId":"KS7G4T15W4RYVZTCDSWZ"},{"category":"Common Skill","skillName":"Information Technology","skillId":"KS1227V6WBR3BH3SJYSZ"},{"category":"Common Skill","skillName":"Management","skillId":"KS1218W78FGVPVP2KXPX"},{"category":"Common Skill","skillName":"Business Administration","skillId":"KS1218B62M9QRBY8WRSK"}],"workExperience":[{"companyName":"Cloud Clearwater","jobTitle":"Call Center Administrator","city":"Dallas","country":"TX","fromDate":"2014-08-01","toDate":"current","description":"Developed and implemented standard operating procedures to maintain a monthly quality service level that averaged 90% and above. Managed a team of 10 center supervisors and 100 customer service representatives. Created a rotating schedule to maximize center efficiency, resulting in a $50,000 annual savings in personnel costs."},{"companyName":"River Tech","jobTitle":"Customer Call Center Supervisor","city":"Dallas","country":"TX","fromDate":"current","toDate":"current","description":"Managed and coached a team of 25 call center representatives. Utilized effective de-escalation techniques to resolve approximately 40 escalated calls each day. Maintained a 97% average monthly customer-satisfaction rating for my team."},{"companyName":"Crane & Smith","jobTitle":"Call Center Representative","city":"Dallas","country":"TX","fromDate":"current","toDate":"current","description":"Assisted approximately 125 customers daily with making rental car reservations in a 24/7 call center. Consistently completed at least five live customer transfers to our hotel partners for booking. Promoted to advanced customer relations team to handle at least 45 VIP customers each day."}],"education":[{"institutionName":"Hawaii Western","fieldOfStudy":"Information Technology/Business Administration","degree":"Bachelor's","grade":"","city":"","country":"","fromDate":"1998-08-01","toDate":"2002-05-01","description":""}],"certifications":[],"summary":{"profile":"Seasoned Customer Call Center Professional with a 15-year history of excelling in all call center functions."},"achievements":"","projects":[],"hobbies":[]}
curl --location --request POST 'https://zylalabs.com/api/5568/resume+extractor+api/7213/extract++data' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"resumeText": "Jane Smith\r\nDallas, TX | (123) 456-7891\r\[email protected]\r\nSummary\r\nSeasoned Customer Call Center Professional with a 15-year history of excelling in all call center functions, including roles as an initial customer-contact representative, floor supervisor and center administrator. Adept at quickly problem solving for customers and resolving the most challenging complaints.\r\nEducation\r\nHawaii Western\r\nAug '98 - May '02\r\nInformation Technology/Business Administration\r\nExperience\r\nCloud Clearwater, Call Center Administrator Aug '14 - Current\r\nDeveloped and implemented standard operating procedures to maintain a monthly quality service level that averaged 90% and above\r\nManaged a team of 10 center supervisors and 100 customer service representatives\r\nCreated a rotating schedule to maximize center efficiency, resulting in a $50,000 annual savings in personnel costs\r\nRiver Tech, Customer Call Center Supervisor Current - Current\r\nManaged and coached a team of 25 call center representatives\r\nUtilized effective de-escalation techniques to resolve approximately 40 escalated calls each day\r\nMaintained a 97% average monthly customer-satisfaction rating for my team\r\nCrane & Smith, Call Center Representative Current - Current\r\nAssisted approximately 125 customers daily with making rental car reservations in a 24/7 call center\r\nConsistently completed at least five live customer transfers to our hotel partners for booking\r\nPromoted to advanced customer relations team to handle at least 45 VIP customers each day\r\nSkills\r\nCall Center Management\r\nTeam Leadership"
}'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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The Resume Extractor API can extract structured data including candidate names, skills, work experience, education, and contact information from resumes.
The API supports multiple input formats including PDF files, URLs, and raw text, making it adaptable to various recruitment needs.
The Resume Extractor API processes resumes in real-time and retains no user data, ensuring full compliance with GDPR privacy standards.
The skill normalization feature enhances data usability by standardizing skills extracted from resumes, improving candidate matching and analysis.
Yes, the Resume Extractor API is designed to integrate seamlessly into existing HR tools and CRMs, making it a cost-effective solution for businesses of all sizes.
The Resume Extractor API returns structured data including personal information (name, contact details), work experience, education, and a list of normalized skills categorized as common or specialized.
Key fields in the response include "personalInformation" (first name, last name, phone number, email), "skills" (skill name, category, skill ID), and "experience" (job titles, companies, durations).
The response data is organized in a JSON format, with top-level keys for personal information, skills, and experience. Each section contains relevant subfields, making it easy to parse and utilize.
The endpoint provides detailed candidate information, including contact details, a comprehensive list of skills, work history, and educational background, facilitating thorough candidate evaluations.
Users can customize requests by sending specific resume text, files, or URLs in the POST request body, allowing for tailored data extraction based on the format and content provided.
Typical use cases include candidate screening, skill matching for job openings, generating candidate profiles, and enhancing recruitment workflows by automating data extraction from resumes.
Data accuracy is maintained through advanced parsing algorithms that extract and normalize information from resumes, ensuring consistent and reliable output across various formats.
If the API returns partial or empty results, users should verify the input format and content. Providing clear and complete resumes can improve extraction quality and ensure more comprehensive data retrieval.
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