Parsing Agent–Data Extraction Agent
Parsing Agent: Extract Data, Elevate Insights.
Publisher
Accenture
Product Details
This agent automatically extracts structured data from resumes and job descriptions for real-time processing. It is triggered when a resume or job description is uploaded to cloud storage, parses the document using NLP and PDF parsing tools, extracts structured data, and stores it in Firestore without manual intervention. It prepares clean, machine-readable data for downstream agents in the hiring pipeline.
The agent reduces manual parsing time by over 90%, so the hiring pipeline starts faster. It also keeps data consistent across candidate and job records by standardizing the input format early in the hiring funnel. Its primary users are human resources and recruitment teams. It is built with Cloud Run, PDF parsers, NLP extraction, Firestore, and a Google Bucket.
Key Use Cases
Automated Candidate Resume Parsing Pipeline
Triggers upon resume upload to cloud buckets, parsing unstructured PDF documents using NLP to populate Firestore with standardized candidate experience and skill sets.
Standardized Job Description Ingestion
Extracts key responsibilities and qualifications from hiring manager job specs into machine-readable data, enabling seamless downstream matching by recruiting agents.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.