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Rate Limiting

Web Scraping

Definition

Rate limiting is a technique used by websites and APIs to control the number of requests a client can make within a specified time window, returning HTTP 429 when exceeded.

What is Rate Limiting?

Rate limiting is a technique used by websites and APIs to control the number of requests a client can make within a specified time window. When the limit is exceeded, subsequent requests receive error responses, typically HTTP 429 (Too Many Requests), until the window resets.

Common Rate Limiting Algorithms

Rate limiting algorithms track request counts per identifier, usually an IP address, API key, or session token. Common algorithms include fixed window (count per time period), sliding window (rolling count), token bucket (refilling allowance), and leaky bucket (constant drain rate). When the threshold is exceeded, the server responds with a 429 status code, often including a Retry-After header indicating when requests will be accepted again. Advanced systems implement graduated rate limiting with increasing delays.

A target enforcing 100 requests per minute per IP will block your single IP after the 100th request. By routing through gate.hexproxies.com:8080 with per-request rotation across a pool of 10,000 IPs, each IP sends perhaps one request per minute, staying far below any per-IP threshold.

Proxy Rotation as a Rate Limit Multiplier

Rate limiting is the primary defense against aggressive automated access. Understanding how rate limits work allows proxy users to design their request patterns and rotation strategies to stay within acceptable thresholds. Hex Proxies IP rotation helps distribute requests across many IPs, effectively multiplying the available request budget across the pool.

Why It Matters for Proxy Users

Rate limits are the most common obstacle to scaling data collection. Every target website has rate limits, whether published or not. The key insight is that rate limits are almost always enforced per IP, meaning proxy rotation effectively multiplies your allowed request rate by the number of IPs in your pool. Understanding this relationship helps you calculate the pool size and rotation strategy needed for your target throughput.

**Practical example:** A real estate data aggregator needs to collect 50,000 property listings daily from a platform that enforces a rate limit of 30 requests per minute per IP. Without proxies, the entire daily collection would take over 27 hours on a single IP. Using Hex Proxies with per-request rotation across the residential pool, the aggregator runs 100 concurrent threads, each sending requests through different IPs. No individual IP exceeds 1 request per minute to the target, staying well below the 30-request threshold, and the entire 50,000 listing collection completes in under 2 hours.

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