Data Infrastructure

Reliable at scaleAPI Data Collection

recopilación de datos de API demands reliable infrastructure to handle rate limits, geographic restrictions, y high-volume requests. ProxyHat entrega el proxy backbone que powers continuous API integrations across thousands of endpoints without interruption.

Ver precios
99.95% API Success Rate Sub-100ms Latency 195+ Países

¿Qué es API Data Collection?

recopilación de datos de API es el systematic process of extracting information desde web services y application programming interfaces. It involves sending HTTP requests to API endpoints y processing structured responses (JSON, XML) para aggregation, analysis, o integration into business systems. Enterprise-scale API collection requiere infraestructura de proxies to manage rate limits, distribute requests, y access geo-restricted endpoints.

Por qué API collection necesita infraestructura de proxies

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 desde APIs que serve different responses o restrict access by region.

Clean IP reputation

Residential IPs bypass reputation-based filtering que blocks datacenter ranges y known proxy IPs.

Scale without limits

Handle thousands of concurrent API connections con enterprise-grade infrastructure built para high-volume collection.

API access challenges we solve

Modern APIs implement multiple layers of protection y restrictions

Rate Limiting & Quotas

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

Solución ProxyHat: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 o restrict access entirely to specific regions, limiting global data collection.

Solución ProxyHat:Access APIs desde con city-level targeting para location-specific data.195+ countries

IP Reputation Filtering

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

Solución ProxyHat: con clean reputation scores bypass reputation-based blocking.Residential IPs

Connection Limits

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

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

API collection applications

Financial Market Data

Aggregate real-time pricing, market data, y trading signals desde multiple financial APIs y exchanges.

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

E-commerce Intelligence

Collect product data, pricing, inventory levels, y reviews desde marketplace APIs at scale.

  • Product catalog sync
  • Dynamic pricing feeds
  • Inventory monitoring

Social Media Analytics

Gather posts, engagement metrics, y audience data desde social platform APIs para analysis.

  • Sentiment analysis feeds
  • Influencer metrics
  • Trend detection

Travel & Hospitality

Aggregate flight prices, hotel rates, y availability desde OTA y supplier APIs worldwide.

  • Fare comparison data
  • Availability monitoring
  • Rate parity checks

Weather & Geospatial

Collect location-based data desde weather services, mapping APIs, y geospatial providers.

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

Job Market Data

Extract job listings, salary data, y labor market trends desde employment platform APIs.

  • Job listing aggregation
  • Salary benchmarking
  • Skills demand analysis

API collection con ProxyHat

Integrate proxy rotation into tu 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 para rate limit status y implement backoff strategies to avoid account suspension.

02

Use exponential backoff

Implement progressive retry delays para failed requests. Start con short delays y increase exponentially on repeated failures.

03

Cache responses

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

04

Rotate credentials

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

05

Manejar errores correctamente

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

06

Monitor health metrics

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

Choosing el right proxy type

Match tu infraestructura de proxies to tu API targets

Escenario de MonitoreoProxy RecomendadoPor qué
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 para 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 para time-sensitive API calls

50M+
IP Pool Size

Massive pool para distributing requests across unique IPs

Unlimited
Concurrent Requests

Scale connections to match tu data pipeline requirements

Responsible API access

Terms of Service

Always review y comply con API terms of service. We support legitimate business use cases only.

Data Privacy

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

Ethical Collection

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

ProxyHat es designed para legitimate data collection. Review our para usage guidelines.Terms of Service

Preguntas FrecuentesPreguntas

Por qué do I need proxies para recopilación de datos de API?

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

¿Debo usar proxies residenciales o de datacenter para APIs?

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

Cómo do proxies help con API rate limits?

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

Can I collect data desde APIs in different countries?

Yes. Many APIs return different data based on el request location. ProxyHat offers proxies in 195+ countries con city-level targeting, enabling tú to collect geo-specific data desde APIs worldwide.

Ready to scale tu recopilación de datos de API?

Get started con ProxyHat's API-optimized infraestructura de proxies.

Usage-based pricing - No minimum commitments