Extractor de Datos del Solicitante API

Simplifica los flujos de trabajo de reclutamiento con análisis de currículos compatibles con el GDPR. Extrae y normaliza datos clave de currículos en tiempo real, garantizando la privacidad y mejorando los procesos de contratación de manera eficiente.

Acerca de la API: 

Nuestra API de análisis de currículos es una solución fácil de usar y conforme con el GDPR, diseñada para simplificar y mejorar los flujos de trabajo de reclutamiento. Automatiza la extracción de datos estructurados de los currículos, como datos de contacto, experiencia laboral, educación y habilidades. La API admite entradas de archivos PDF, URLs o texto en bruto, asegurando flexibilidad para varios casos de uso. Sus características clave incluyen la normalización de habilidades, que permite datos estandarizados para facilitar la comparación, y capacidades de análisis robustas para manejar formatos de currículos complejos. Con cero retención de datos y procesamiento en tiempo real, la API prioriza la privacidad del usuario y asegura el cumplimiento de las regulaciones de protección de datos. Los desarrolladores pueden integrar esta API rentable sin problemas en herramientas de recursos humanos, sistemas de CRM o plataformas de reclutamiento. Las características futuras, como el análisis de ofertas de trabajo y las capacidades de coincidencia, agilizarán aún más el proceso de contratación. Ya sea que seas un profesional de recursos humanos, reclutador o desarrollador creando herramientas de contratación, esta API acelera la adquisición de talento y mejora la toma de decisiones a través de conocimientos prácticos, permitiendo a las empresas encontrar a los mejores candidatos de manera eficiente.

Documentación de la API

Endpoints


Envía una solicitud POST con el cuerpo JSON que contenga texto de currículum, archivo o URL. Recibe detalles estructurados como información de contacto, experiencia y habilidades.



                                                                            
POST https://zylalabs.com/api/5566/applicant+data+extractor+api/7211/extract+resume+data
                                                                            
                                                                        

Extraer datos del currículum. - Características del Endpoint

Objeto Descripción
Cuerpo de la Solicitud [Requerido] Json
Probar Endpoint

RESPUESTA DE EJEMPLO DE LA API

       
                                                                                                        
                                                                                                                                                                                                                            {"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 in 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":"USA","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":"USA","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":"USA","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":"","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, including roles as an initial customer-contact representative, floor supervisor and center administrator."},"achievements":"","projects":[],"hobbies":[]}
                                                                                                                                                                                                                    
                                                                                                    

Extract Resume Data - CÓDIGOS DE EJEMPLO


curl --location --request POST 'https://zylalabs.com/api/5566/applicant+data+extractor+api/7211/extract+resume+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"
}'

    

Clave de Acceso a la API y Autenticación

Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Extractor de Datos del Solicitante API simplemente incluye tu token de portador en el encabezado de Autorización.
Encabezados
Encabezado Descripción
Autorización [Requerido] Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.

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Extractor de Datos del Solicitante API FAQs

La API de Extractor de Datos de Solicitud es una solución de análisis de currículos conforme al GDPR que automatiza la extracción de datos estructurados de currículos, incluyendo detalles de contacto, experiencia laboral, educación y habilidades, para simplificar los flujos de trabajo de reclutamiento.

La API asegura el cumplimiento del GDPR al implementar políticas de cero retención de datos y procesamiento en tiempo real, lo que prioriza la privacidad del usuario y se adhiere a las regulaciones de protección de datos.

La API admite varios formatos de entrada para el análisis de currículos, incluidos archivos PDF, URL y texto sin formato, lo que brinda flexibilidad para diferentes casos de uso.

Las características clave de la API incluyen la normalización de habilidades para la comparación de datos estandarizados, capacidades de análisis robustas para manejar formatos de currículum complejos y mejoras futuras como el análisis de ofertas de trabajo y capacidades de emparejamiento.

Los profesionales de recursos humanos, reclutadores y desarrolladores que construyen herramientas de contratación pueden beneficiarse de la API, ya que acelera la adquisición de talento y mejora la toma de decisiones a través de información procesable.

El endpoint de Extraer Datos del Currículum devuelve información estructurada que incluye detalles personales (nombre, teléfono, correo electrónico), experiencia laboral, educación y una lista de habilidades categorizadas por tipo.

Los campos clave en la respuesta incluyen "informaciónPersonal" (que contiene el nombre, apellido, número de teléfono, correo electrónico), "habilidades" (con categorías y nombres de habilidades), y "experiencia" (detallando títulos de trabajo y duraciones).

Los datos de respuesta están organizados en un formato JSON, con claves de nivel superior para información personal, habilidades y experiencia. Cada sección contiene objetos o arreglos anidados para atributos detallados.

El punto final proporciona información sobre detalles personales, historial laboral, formación académica y una lista completa de habilidades, lo que permite tener una visión holística de las calificaciones de un candidato.

Los usuarios pueden personalizar las solicitudes de datos enviando texto específico del currículum, formatos de archivo (PDF) o URLs en el cuerpo JSON de la solicitud POST, lo que permite un análisis adaptado según el tipo de entrada.

Los casos de uso típicos incluyen la automatización de la selección de candidatos, la comparación de habilidades entre los solicitantes y la integración de datos analizados en sistemas de recursos humanos para agilizar los procesos de reclutamiento.

La precisión de los datos se mantiene a través de robustos algoritmos de análisis que manejan diversos formatos y estructuras de currículos, asegurando una extracción fiable de información relevante de diversas fuentes.

Si los usuarios reciben resultados parciales o vacíos, deben verificar el formato y el contenido de la entrada, asegurándose de que el resumen sea claro y esté bien estructurado. Ajustar el método de entrada también puede mejorar los resultados.

General FAQs

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