Web Scraping

9.

Project Management and Best Practices

9.1.

Project Planning and Design

9.1.1.

Requirement Analysis

9.1.1.1.

Objective Definition

9.1.1.2.

Scope Determination

9.1.1.3.

Success Metrics

9.1.2.

Technical Assessment

9.1.2.1.

Website Structure Analysis

9.1.2.2.

Complexity Evaluation

9.1.2.3.

Resource Planning

9.1.3.

Risk Management

9.1.3.1.

Technical Risks

9.1.3.2.

9.1.3.3.

Mitigation Strategies

9.2.

Development Best Practices

9.2.1.

Code Organization

9.2.1.1.

9.2.1.2.

Reusable Components

9.2.1.3.

Configuration Management

9.2.2.

9.2.2.1.

Exception Management

9.2.2.2.

Logging Strategies

9.2.2.3.

Recovery Mechanisms

9.2.3.

Testing and Validation

9.2.3.1.

9.2.3.2.

Integration Testing

9.2.3.3.

Data Validation

9.3.

Maintenance and Monitoring

9.3.1.

Change Detection

9.3.1.1.

Website Monitoring

9.3.1.2.

Automated Alerts

9.3.1.3.

Update Strategies

9.3.2.

Performance Monitoring

9.3.2.1.

Metrics Collection

9.3.2.2.

Performance Analysis

9.3.2.3.

Optimization Techniques

9.3.3.

Documentation and Knowledge Management

9.3.3.1.

Code Documentation

9.3.3.2.

Process Documentation

9.3.3.3.

Knowledge Transfer

9.4.

Ethical Guidelines and Compliance

9.4.1.

Robots.txt Compliance

9.4.1.1.

File Interpretation

9.4.1.2.

Directive Following

9.4.1.3.

Exception Handling

9.4.2.

Server Resource Respect

9.4.2.1.

Request Rate Limiting

9.4.2.2.

Off-Peak Scheduling

9.4.2.3.

Resource Conservation

9.4.3.

Transparency and Identification

9.4.3.1.

User-Agent Identification

9.4.3.2.

Contact Information Provision

9.4.3.3.

Purpose Declaration

9.4.4.

Data Privacy Protection

9.4.4.1.

Personal Data Avoidance

9.4.4.2.

Anonymization Techniques

9.4.4.3.

Compliance Verification

Previous

8. Data Storage and Post-Processing

Go to top

Back to Start

1. Fundamentals of Web Scraping