Python Developer for Public Records Data Extraction & Automation (Florida)
Rozpočet: $150.0
FIXED /
⭐ 0.00 (0)
United States
python, selenium, scrapy-framework, beautiful-soup, node.js, golang
Preferované kvalifikace
- Lokalita: India, Pakistan, Bangladesh, Ukraine, Poland, Serbia, Philippines, Vietnam, Argentina, Brazil, Colombia
- Zkušenost: Středně pokročilý
We are seeking an experienced Python developer to build an automated data pipeline to collect and structure publicly available property and municipal filing records.
Scope of Project:
1. Automated indexing of designated municipal registry tables and published public notices.
2. Cross-referencing records against public property appraiser tables to extract parcel details and property attributes.
3. Clean data transformation and export into a structured, normalized CSV file formatted for database import.
Technical Requirements:
- Python (Playwright, Selenium, or HTTP client libraries)
- Ability to handle dynamic JavaScript-rendered tables, pagination, and multi-step search queries.
- Implementation of polite request handling: retry logic, throttling, and session management.
- Built-in deduplication engine to ensure recurring runs only extract newly indexed filings.
- Clean, documented code that can be run on a scheduled interval.
Turnaround & Delivery:
- Target delivery: 3 to 5 days
- Fixed-price milestone contract ($125 - $150)
- The exact portal documentation and field mapping specifications will be provided directly in the interview workroom.
When submitting your proposal, please briefly mention:
1. Which Python libraries you would select for this task and why.
2. An example of a similar public directory or property record automation tool you have built.
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