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Python Developer for Public Records Data Extraction & Automation (Florida)

Orçamento: $150.0 FIXED / ⭐ 0.00 (0) United States

python, selenium, scrapy-framework, beautiful-soup, node.js, golang

Qualificações preferidas

  • Localização: India, Pakistan, Bangladesh, Ukraine, Poland, Serbia, Philippines, Vietnam, Argentina, Brazil, Colombia
  • Experiência: Intermédio
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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