US Tax Code Lookup API
Budget: $250 – $750 USD
*Pay for this project is $300.
I need an API-driven system that automatically pulls current income- and sales-tax codes at the federal, state, county, and city levels for all 50 U.S. states. Each quarter I will trigger the process, expect it to collect fresh data, and store the results in my database so I can compile internal reports later.
Core requirements
• Data coverage: income-tax and sales-tax codes, sliced by federal, state, county, and municipal jurisdictions.
• Update cycle: runnable on-demand but optimized for a quarterly refresh.
• Output: JSON payloads written to a relational table set you design (PostgreSQL preferred, open to MySQL).
• Reporting: provide a sample script or lightweight dashboard that proves the data can be queried and rendered into a simple report.
• Reliability: the pull should gracefully handle API rate limits, network errors, and schema changes; clear logging is a must.
• Compliance: because this is U.S. tax data, only developers or HR/Tax professionals familiar with U.S. regulations should tackle this.
Acceptance criteria
1. One-click (or single cron) execution downloads and inserts the latest codes for every jurisdiction.
2. Duplicate entries from previous quarters are prevented or versioned.
3. A test endpoint returns a filtered set (e.g., CA state and Los Angeles county sales-tax codes) within 300 ms on local network.
4. README includes setup, environment variables, and quarterly update instructions.
Tech stack suggestions are welcome—Python + FastAPI or Node.js + Express are fine—as long as the final solution is well-documented, containerized (Docker), and production-ready.
I need an API-driven system that automatically pulls current income- and sales-tax codes at the federal, state, county, and city levels for all 50 U.S. states. Each quarter I will trigger the process, expect it to collect fresh data, and store the results in my database so I can compile internal reports later.
Core requirements
• Data coverage: income-tax and sales-tax codes, sliced by federal, state, county, and municipal jurisdictions.
• Update cycle: runnable on-demand but optimized for a quarterly refresh.
• Output: JSON payloads written to a relational table set you design (PostgreSQL preferred, open to MySQL).
• Reporting: provide a sample script or lightweight dashboard that proves the data can be queried and rendered into a simple report.
• Reliability: the pull should gracefully handle API rate limits, network errors, and schema changes; clear logging is a must.
• Compliance: because this is U.S. tax data, only developers or HR/Tax professionals familiar with U.S. regulations should tackle this.
Acceptance criteria
1. One-click (or single cron) execution downloads and inserts the latest codes for every jurisdiction.
2. Duplicate entries from previous quarters are prevented or versioned.
3. A test endpoint returns a filtered set (e.g., CA state and Los Angeles county sales-tax codes) within 300 ms on local network.
4. README includes setup, environment variables, and quarterly update instructions.
Tech stack suggestions are welcome—Python + FastAPI or Node.js + Express are fine—as long as the final solution is well-documented, containerized (Docker), and production-ready.
Related categories:
PHP
Python
Software Architecture
MySQL
Node.js
Database Programming
API Development
FastAPI