NBA Statistics Web Scraping Project

Ipo Wazi Ilichapishwa siku 5 zilizopita Kulipwa wakati wa kujifungua Inaisha kwa 2 siku
Ipo Wazi Kulipwa wakati wa kujifungua Inaisha kwa 2 siku

Project Overview

Develop and deploy a Python-based web scraping system to collect NBA player and team statistics from Basketball Reference, updating pre-configured Airtable sheets daily. The system will be hosted on AWS Lambda for automated execution.

Fixed Budget: $100

Project Scope

Data Collection Requirements

Scrape statistics for ~550 players (90 fields per player)

Scrape statistics for 30 teams (90 fields per team)

Data sources span 4-5 specific URLs from Basketball Reference

Update existing Airtable sheets with collected data

Match data to pre-defined columns in Airtable

Technical Requirements

Python Web Scraping

Implement robust scraping scripts using BeautifulSoup/Requests

Handle rate limiting and site restrictions

Include error handling and logging

Maintain efficient processing

AWS Implementation

Deploy on AWS Lambda

Set up daily trigger via CloudWatch

Configure proper timeout and memory settings

Include basic error monitoring

To ensure understanding of project requirements, include the phrase "NBA Stats Scraper 2024" in your proposal. This demonstrates familiarity with the project scope.

Airtable Integration

Update existing sheets without structural changes

Maintain data integrity during updates

Handle API rate limits appropriately

Deliverables

Complete Python source code with documentation

AWS Lambda deployment package

Setup instructions and configuration files

Basic error handling documentation

Test run confirmation with sample data

Required Skills

Python web scraping experience (BeautifulSoup/Requests)

AWS Lambda deployment experience

Airtable API integration experience

Experience handling rate limits and site restrictions

Understanding of sports statistics (preferred)

Project Timeline

Expected completion: 1 week

Including testing and deployment

Additional Notes

Airtable structure already configured

Column mappings will be provided

URLs for data collection will be provided

AWS credentials will be provided

Sample data format will be shared

Selection Criteria

Previous web scraping projects

AWS Lambda experience

Clean, maintainable code

Rate limit handling experience

Quick response time for questions

Required for Proposal

Brief outline of your scraping approach

Previous similar project examples

Estimated timeline breakdown

Questions about the project scope

Confirmation of AWS/Airtable experience

Out of Scope

UI development

Data analysis

Database design

Airtable structure changes

Additional data sources

Python Web Scraping Amazon Web Services Data Mining Automation

Kitambulisho cha Mradi: #38939234

Kuhusu mradi

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