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upwork.com 2026-04-26 π‘
πΉ Refactor Raw Job Descriptions into Structured Technical Manifest (JSON)
π€ Client: πΊπΈ United States Member since 2026-04-21
π° Price: $5
π© Problem: Transform unstructured job description text into structured JSON format to facilitate technical implementation.
π¦ Existing: [Not specified]
Specifications:
[Target] - Extract key data points from the provided job description: hospital name, address, city, state, zip code, phone number, and website.
[Method] - Use regular expressions or string parsing techniques to identify and extract relevant information.
[UI/UX] - Not applicable as this is a backend task.
[Stack] - Python with libraries like re for regex, pandas for data manipulation, JSON for output format.
[Security] - Ensure no sensitive data exposure; validate input formats before processing.
[Format] - Output in JSON format: {"hospital_name": "", "address": "", "city": "", "state": "", "zip_code": "", "phone_number": "", "website": ""}
Workflow:
1. Parse the job description text to identify key data points.
2. Use regex or string parsing to extract hospital name, address, city, state, zip code, phone number, and website.
3. Validate extracted data formats (e.g., phone numbers, zip codes).
4. Structure the extracted information into a JSON object.
5. Output the structured JSON.