Use Case

Residential Proxies for Data Gathering

Build pipelines that pull structured data from any public source on the web. The infrastructure behind data engineering teams that turn the open web into a feed.

205M+Residential IPs
195+Countries
99.9%Uptime SLA
<500msAvg Response

Trusted by 50,000+ clients worldwide

The Challenge

Why Data Gathering needs residential proxies

Sources Detect Datacenter IPs

Most public sites that matter for data engineering — marketplaces, directories, news, social — block datacenter traffic on sight. Sustained ingestion requires residential IPs.

Geo-Diverse Data at Scale

Real-world datasets need coverage across regions and languages. Single-region scrapers miss 80% of the global picture; multi-region residential pools fill the gaps.

High-Volume Sustained Throughput

Modern data pipelines pull millions to billions of records per day. Datacenter pools throttle quickly under that load; residential pools absorb it without anomaly detection.

Structured Output for ETL

Raw HTML is the start; downstream pipelines need clean structured records. Workflows benefit from JSON output, webhook delivery, and predictable schemas.

Solutions

How Shifter powers Data Gathering

Real-world applications of residential proxies in Data Gathering.

Web Crawling at Scale

Crawl entire site graphs — sitemap-driven, link-graph-driven, or paginated — across thousands of sources. Power category indexes, news archives, and research datasets.

Structured Data Extraction

Extract structured records (products, profiles, listings, prices) from semi-structured HTML using your own parsers. Shifter residential proxies handle the fetching layer; your pipeline owns the extraction.

Multi-Source Aggregation

Aggregate across heterogeneous sources — marketplaces, directories, news, social, registries — with one consistent infrastructure. Power data products that span the open web.

Real-Time Data Feeds

Run continuous-refresh pipelines that turn the open web into a real-time data feed. Power dashboards, alerts, and ML training pipelines that depend on freshness.

Geographic Coverage

Pull data from 195+ countries with city-level geo-targeting. Critical for multilingual datasets, region-specific content, and globally-balanced training data.

Webhook & Async Delivery

Submit batch jobs and receive results via webhook for async pipelines. Combine with cloud storage destinations (S3, GCS) for hands-off ingestion at any scale.

Pricing

Simple, transparent pricing

Fixed monthly plans with included bandwidth. No hidden fees. Scale as your usage grows.

Starter40% OFF
$3.50/GB
$2.10/GB
$35$21/month·10 GB

What's included

  • 10 GB bandwidth
  • HTTP(S) + SOCKS5
  • City-level targeting
  • API access
  • Priority support
Basic40% OFF
$3.00/GB
$1.80/GB
$75$45/month·25 GB

What's included

  • 25 GB bandwidth
  • HTTP(S) + SOCKS5
  • City-level targeting
  • API access
  • Priority support
BusinessPopular40% OFF
$2.50/GB
$1.50/GB
$249$149/month·100 GB

What's included

  • 100 GB bandwidth
  • HTTP(S) + SOCKS5
  • City-level targeting
  • API access
  • Priority support
Growth40% OFF
$2.00/GB
$1.20/GB
$499$299/month·250 GB

What's included

  • 250 GB bandwidth
  • HTTP(S) + SOCKS5
  • City-level targeting
  • API access
  • Priority support
FAQ

Frequently asked FAQ questions

Common questions about proxies for Data Gathering.

Web Scraping is the action — fetching one page, extracting one record. Data Gathering is the pipeline: continuous, multi-source, structured ingestion at scale. Most data-engineering teams build their pipelines on top of Shifter residential proxies.

Get started

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