Data Infrastructure

Reliable at scaleAPI Data Collection

API data collection demands reliable infrastructure to handle rate limits, geographic restrictions, and high-volume requests. ProxyHat delivers the proxy backbone that powers continuous API integrations across thousands of endpoints without interruption.

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99.95% API Success Rate Sub-100ms Latency 195+ Countries

What is API Data Collection?

API data collection is the systematic process of extracting information from web services and application programming interfaces. It involves sending HTTP requests to API endpoints and processing structured responses (JSON, XML) for aggregation, analysis, or integration into business systems. Enterprise-scale API collection requires proxy infrastructure to manage rate limits, distribute requests, and access geo-restricted endpoints.

Why API collection needs proxy infrastructure

Bypass rate limits

Distribute API requests across millions of IPs to stay within per-IP rate limits while maximizing total throughput.

Access geo-restricted APIs

Collect location-specific data from APIs that serve different responses or restrict access by region.

Clean IP reputation

Residential IPs bypass reputation-based filtering that blocks datacenter ranges and known proxy IPs.

Scale without limits

Handle thousands of concurrent API connections with enterprise-grade infrastructure built for high-volume collection.

API access challenges we solve

Modern APIs implement multiple layers of protection and restrictions

Rate Limiting & Quotas

APIs enforce request limits per IP, user, or API key. High-volume collection quickly exhausts quotas and triggers temporary or permanent bans.

ProxyHat solution:Distribute requests across millions of IPs to stay within per-IP rate limits while maximizing throughput.

Geo-Restricted APIs

Many APIs serve different data based on location or restrict access entirely to specific regions, limiting global data collection.

ProxyHat solution:Access APIs from with city-level targeting for location-specific data.195+ countries

IP Reputation Filtering

APIs use IP reputation databases to identify and block known datacenter ranges, VPNs, and IPs with suspicious activity history.

ProxyHat solution: with clean reputation scores bypass reputation-based blocking.Residential IPs

Connection Limits

APIs limit concurrent connections per IP, throttling parallel requests and reducing data collection throughput.

ProxyHat solution:Scale to thousands of concurrent connections by distributing across our proxy pool.

API collection applications

Financial Market Data

Aggregate real-time pricing, market data, and trading signals from multiple financial APIs and exchanges.

  • Stock & crypto price feeds
  • Alternative data aggregation
  • Multi-exchange arbitrage data

E-commerce Intelligence

Collect product data, pricing, inventory levels, and reviews from marketplace APIs at scale.

  • Product catalog sync
  • Dynamic pricing feeds
  • Inventory monitoring

Social Media Analytics

Gather posts, engagement metrics, and audience data from social platform APIs for analysis.

  • Sentiment analysis feeds
  • Influencer metrics
  • Trend detection

Travel & Hospitality

Aggregate flight prices, hotel rates, and availability from OTA and supplier APIs worldwide.

  • Fare comparison data
  • Availability monitoring
  • Rate parity checks

Weather & Geospatial

Collect location-based data from weather services, mapping APIs, and geospatial providers.

  • Multi-source weather data
  • Location intelligence
  • POI aggregation

Job Market Data

Extract job listings, salary data, and labor market trends from employment platform APIs.

  • Job listing aggregation
  • Salary benchmarking
  • Skills demand analysis

API collection with ProxyHat

Integrate proxy rotation into your API data pipelines

import requests
from concurrent.futures import ThreadPoolExecutor

# Configure rotating proxy
proxy = {
    'http': 'http://user:pass@gate.proxyhat.com:7777',
    'https': 'http://user:pass@gate.proxyhat.com:7777'
}

def fetch_api(endpoint):
    response = requests.get(
        f'https://api.example.com/{endpoint}',
        proxies=proxy,
        timeout=30
    )
    return response.json()

# Parallel API collection
endpoints = ['products', 'prices', 'inventory']
with ThreadPoolExecutor(max_workers=10) as executor:
    results = list(executor.map(fetch_api, endpoints))

API collection best practices

01

Respect rate limits

Monitor API response headers for rate limit status and implement backoff strategies to avoid account suspension.

02

Use exponential backoff

Implement progressive retry delays for failed requests. Start with short delays and increase exponentially on repeated failures.

03

Cache responses

Store API responses locally to reduce redundant requests. Respect cache headers and implement intelligent invalidation.

04

Rotate credentials

Distribute requests across multiple API keys when available to maximize aggregate rate limits.

05

Handle errors gracefully

Parse API error responses and implement specific handling for different error codes (429, 503, etc.).

06

Monitor health metrics

Track success rates, latency, and error patterns across endpoints to detect issues before they impact collection.

Choosing the right proxy type

Match your proxy infrastructure to your API targets

Monitoring ScenarioRecommended ProxyWhy
Social Media APIsResidentialStrict IP reputation checks, residential IPs required
E-commerce APIsResidentialAnti-bot protection, geo-specific pricing data
Financial Data APIsDatacenterSpeed-critical, minimal protection on licensed feeds
Weather & Maps APIsDatacenterRate limits only, no IP reputation filtering
Travel/OTA APIsResidentialGeo-based pricing, datacenter IPs often blocked
Public/Government APIsDatacenterOpen access, high volume, speed prioritized

Built for high-volume API access

99.95%
API Success Rate

Near-perfect success rates across millions of daily API requests

<100ms
Average Latency

Low-latency datacenter proxies for time-sensitive API calls

50M+
IP Pool Size

Massive pool for distributing requests across unique IPs

Unlimited
Concurrent Requests

Scale connections to match your data pipeline requirements

Responsible API access

Terms of Service

Always review and comply with API terms of service. We support legitimate business use cases only.

Data Privacy

GDPR and CCPA compliant infrastructure. All residential IPs sourced through explicit user consent.

Ethical Collection

Avoid collecting personal data without consent. Use API access responsibly and within intended purposes.

ProxyHat is designed for legitimate data collection. Review our for usage guidelines.Terms of Service

Frequently Asked Questions

Why do I need proxies for API data collection?

APIs enforce rate limits per IP address. Proxies distribute your requests across many IPs, allowing you to scale data collection without hitting per-IP rate limits. They also help access geo-restricted APIs and bypass IP reputation filtering.

Should I use residential or datacenter proxies for APIs?

Use residential proxies for APIs with strict IP reputation checks like social media and e-commerce platforms. Use datacenter proxies for public APIs, financial data feeds, and services where speed matters more than IP reputation.

How do proxies help with API rate limits?

Rate limits are typically enforced per IP address. By distributing requests across multiple proxy IPs, you can make more total requests while staying within per-IP limits. Rotating proxies automatically assign fresh IPs to each request.

Can I collect data from APIs in different countries?

Yes. Many APIs return different data based on the request location. ProxyHat offers proxies in 195+ countries with city-level targeting, enabling you to collect geo-specific data from APIs worldwide.

Ready to scale your API data collection?

Get started with ProxyHat's API-optimized proxy infrastructure.

Usage-based pricing - No minimum commitments