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Create your SquidProxies developer account and access API credentials. Learn how to generate API keys and configure authentication for programmatic access.
Learn how to use Proxies to collect data from websites.
Create your SquidProxies developer account and access API credentials. Learn how to generate API keys and configure authentication for programmatic access.
Understand different authentication methods including API keys, IP whitelisting, and username/password combinations for secure API access.
Configure your local development environment for proxy integration. Install necessary libraries and dependencies for your preferred programming language.
Get your specific proxy endpoints, ports, and connection parameters. Understand the difference between HTTP and SOCKS proxy configurations.
Verify your proxy setup with basic connection tests and debugging techniques. Use built-in tools to validate your implementation before deployment.
Understand API rate limits, request quotas, and implementation best practices. Learn how to handle errors gracefully and implement retry logic.
Complete cURL examples for making HTTP requests through SquidProxies. Includes authentication, headers, and error handling with practical command-line examples.
Python code samples using requests, urllib, and aiohttp libraries. Includes proxy rotation, session management, and async implementations with full working examples.
PHP implementations using cURL and Guzzle HTTP client. Complete code examples for both procedural and object-oriented approaches with error handling.
JavaScript/Node.js examples using axios, node-fetch, and native http modules. Includes Promise-based and async/await patterns with proxy configuration.
Java code samples using HttpClient, OkHttp, and Apache HttpComponents. Complete examples with connection pooling and proxy authentication.
C# examples using HttpClient and WebRequest classes. Includes async implementations and proper disposal patterns for .NET applications.
Go code samples using net/http package and popular HTTP clients. Includes context handling, timeouts, and concurrent request patterns.
Ruby implementations using Net::HTTP, HTTParty, and Faraday gems. Complete examples with proper error handling and response parsing.
Complete API reference for managing your proxy resources programmatically. Includes authentication, base URLs, and common response formats.
API endpoints for managing authentication credentials, IP whitelisting, and access tokens. Includes request/response examples and error codes.
Monitor proxy availability and performance through API endpoints. Get real-time status updates and health metrics for your proxy infrastructure.
Access detailed usage statistics, bandwidth consumption, and request analytics through API endpoints. Generate custom reports for your proxy usage.
Dynamically configure proxy settings, rotation rules, and connection parameters through API calls. Manage multiple proxy configurations programmatically.
Set up webhooks for real-time notifications about proxy events, usage alerts, and system status changes. Configure callback URLs and event handling.
Deep dive into Python proxy usage with advanced features like connection pooling, custom retry logic, and intelligent proxy rotation strategies.
Implement sophisticated web crawling using Selenium, Playwright, and Puppeteer with proxy rotation. Handle JavaScript-heavy sites and anti-bot measures.
Build scalable scraping systems using asyncio, threading, and multiprocessing with proxy pools. Optimize for maximum throughput and reliability.
Implement intelligent proxy pool management with automatic failover, health monitoring, and load balancing across multiple proxy endpoints.
Advanced techniques for avoiding detection including user-agent rotation, request timing, header randomization, and behavioral mimicking.
Build custom middleware for popular frameworks like Scrapy, Django, and Flask to automatically route requests through proxies with intelligent routing.
Design and implement distributed scraping systems using message queues, worker pools, and proxy clusters for enterprise-scale data collection.
Implement comprehensive monitoring for proxy-based applications including metrics collection, alerting, and performance optimization strategies.