Web Scraping Proxies
Collect public web data at scale, without infrastructure headaches.
Large-scale data collection requires thousands of unique residential connections spread across geographies and ISPs. A single endpoint that clusters requests on a handful of datacenter IPs will produce incomplete datasets and wasted compute. LocalProxies gives your scraping pipeline access to residential IPs in 195+ countries and territories, refreshed daily, with Sticky Sessions plans for multi-page workflows and High-Rotation plans for breadth-first crawls. The result: more complete data, collected faster, at a predictable per-GB cost.
How it works
One endpoint. Full control over geography, rotation, and session type.
Key capabilities
Built for this use case. No compromises.
High-Rotation Mode
Assign a fresh residential IP to every request, drawn from a pool refreshed daily across hundreds of ISPs and subnets. Ideal for breadth-first crawls where you need to touch thousands of pages in a single run without repeating source addresses.
Country and City Targeting
Route requests through residential IPs in specific countries, regions, or cities. Collect region-specific product listings, localized pricing, or language-variant content by selecting the geography that matches your research needs.
Sticky Sessions for Multi-Page Flows
Maintain the same residential IP across multiple sequential requests, ideal for paginated listings, product detail pages, or any workflow that requires consistent identity across steps. Sessions persist for 10+ minutes with automatic renewal.
Why Residential Proxies Matter for Data Collection
Public web data powers competitive intelligence, market research, pricing analysis, and academic studies across every industry. But collecting that data at scale presents a fundamental infrastructure challenge: websites serve different content based on the requesting IP’s geography, ISP, and reputation. Datacenter IPs (concentrated on a few ASNs and subnets) produce skewed, incomplete datasets because they don’t represent how real users experience the web.
Residential proxies solve this by routing your requests through real household internet connections. The data you collect reflects what actual consumers see: localized pricing, region-specific product availability, language-appropriate content. LocalProxies provides access to residential IPs across 195+ countries and territories, sourced ethically with explicit user consent, and refreshed daily to maintain IP diversity and reputation.
High-Rotation vs. Sticky Sessions: Choosing the Right Mode
Different data collection tasks require different IP management strategies. Breadth-first crawls (where you need to visit thousands of unique URLs in a single run) benefit from high-rotation mode, which assigns a fresh IP from a different subnet to each request. This maximizes coverage and minimizes the chance of rate limiting from any single source address.
Depth-first workflows (paginated listings, multi-step product detail extraction, or session-dependent content) require sticky sessions. LocalProxies sticky sessions maintain the same residential IP for 10+ minutes, with automatic renewal. High Rotation and Sticky Sessions are separate plans: choose the one that fits your task, or run a plan of each when a pipeline needs both.
Geo-Targeted Data for Accurate Market Research
E-commerce prices, product availability, shipping options, and promotional offers vary by geography. A product listed at $49.99 in the United States might show $54.99 in Canada and not be available at all in Germany. If your competitive intelligence relies on data collected from a single geographic vantage point, you’re making decisions on partial information.
LocalProxies supports country, state, and city-level geo-targeting across our entire residential network. Set the geography per port in Port Options and collect data as it appears to consumers in that market. Combined with our daily pool refresh, you get consistent, representative data from every region you monitor.
Data Quality and Freshness: Why Daily Pool Refresh Matters
The accuracy of collected data depends directly on the quality and reputation of the IPs used to gather it. Stale proxy pools (where the same set of IPs is reused for weeks or months) produce diminishing returns. Websites track and rate-limit frequently seen addresses, resulting in incomplete responses, redirected pages, or entirely different content served to known data collection infrastructure.
LocalProxies refreshes the residential IP pool daily, retiring addresses that have accumulated usage history and introducing fresh IPs from new residential connections. This continuous rotation at the pool level (distinct from per-request IP rotation) ensures that your scraping infrastructure consistently operates with IPs that have clean reputations. For long-running data collection campaigns that span weeks or months, daily pool freshness is what separates stable performance optimized for high success rates from gradual degradation that corrupts your datasets over time.
Residential vs Datacenter Proxies for Web Scraping
How residential proxies compare to datacenter alternatives for this workflow.
| Feature | Residential Proxies | Datacenter Proxies |
|---|---|---|
| IP authenticity | Real household connections assigned by local ISPs. Requests appear as normal consumer traffic | Server-hosted IPs on known hosting ASNs, frequently flagged by anti-scraping systems |
| Geographic data accuracy | Localized content, pricing, and availability as seen by real consumers in each market | Often returns default or headquarters-region content regardless of geo-targeting intent |
| IP diversity and rotation | Millions of IPs across hundreds of ISPs and subnets, refreshed daily for consistent pool freshness | Limited subnet diversity. Bulk IPs often share adjacent ranges that are easy to identify and rate-limit |
| Multi-page session stability | Sticky sessions on real household IPs maintain consistent identity across paginated workflows | Sessions may be interrupted when the hosting provider recycles or reassigns shared server IPs |
| Success rate over time | Daily pool refresh retires overused IPs and introduces fresh ones, sustaining high success rates across long-running campaigns | Static IP pools degrade over time as addresses accumulate negative reputation from repeated use |
| Data completeness | Collects the full dataset including region-locked inventory, localized promotions, and market-specific content variants | May receive stripped-down or generic versions of pages, producing incomplete datasets |
Network coverage
Example requests
curl
# Auth = your whitelisted IP (Proxy Ports page). Rotation and session are set per port in Port Options. curl --socks5-hostname gate.localproxies.com:PORT https://example.com/products -v
Python
import requests # SOCKS5 needs PySocks: pip install "requests[socks]"
# Auth = your whitelisted IP, no username or password.
proxies = {
"http": "socks5h://gate.localproxies.com:PORT",
"https": "socks5h://gate.localproxies.com:PORT",
}
r = requests.get("https://example.com/products", proxies=proxies, timeout=30)
print(r.status_code, len(r.text))
Getting Started with Web Scraping Proxies
A workflow-specific guide to start collecting data with residential proxies.
Define your target URLs and crawl scope
Start by mapping the pages you need to collect data from: product catalogs, listing pages, search results, or public APIs. Determine whether you need breadth-first coverage (thousands of unique pages) or depth-first extraction (multi-page detail flows). This decision drives your rotation and session strategy.
Choose your plan
For breadth-first crawls across many unique URLs, use a High-Rotation plan for a fresh residential IP on every request. For paginated listings or multi-step detail extraction, use a Sticky Sessions plan for the same IP across sequential requests (set the persistence per port in Port Options). Pipelines that need both provision one plan of each.
Set geographic targeting per port
Set the country, state, or city for each port in Port Options. If you are collecting pricing data for the US market, configure a US port. If you need data from multiple markets, run a port per geography and collect them in parallel.
Start collecting and monitor success rates
Begin with a small batch to validate your pipeline configuration and expected response structure. Monitor HTTP status codes and response sizes to confirm you are receiving complete data. Scale up gradually, using the LocalProxies dashboard or API to track bandwidth usage, success rates, and request distribution across geographies.
Frequently asked questions
Common questions about using LocalProxies for this workflow.
How many concurrent requests can I run for web scraping?
All LocalProxies plans support high concurrency. The exact limit depends on your plan tier: our entry plans support hundreds of concurrent connections, and enterprise plans scale to thousands. Contact us for benchmarks specific to your volume.
What formats can I collect data in through LocalProxies?
LocalProxies is a proxy infrastructure layer. We route your requests through residential IPs, but the parsing and structuring happens in your pipeline. You receive raw HTTP responses (HTML, JSON, XML) that you parse into CSV, JSON, databases, or any format your tooling supports.
How does daily pool refresh affect my scraping?
Every day, stale IPs are retired and fresh residential IPs are added to the pool. This means you consistently work with IPs that have clean reputations and haven’t been overused. For long-running scraping campaigns, this daily refresh is critical for maintaining high success rates over weeks and months.
Is web scraping of public data legal?
Collecting publicly accessible web data is generally permissible, as affirmed by multiple court rulings including HiQ Labs v. LinkedIn. However, legal specifics depend on jurisdiction, the nature of the data, and how it’s used. LocalProxies provides the infrastructure for data collection; customers are responsible for ensuring their specific use case complies with applicable laws and terms of service. We recommend consulting legal counsel for your specific situation.
Can I use both high-rotation and sticky sessions in the same scraping pipeline?
High Rotation and Sticky Sessions are two separate plans. High Rotation gives a fresh IP per request for breadth-first URL discovery; Sticky Sessions hold the same IP for 10+ minutes for multi-page detail extraction. Pipelines that need both provision one plan of each and route each stage to the matching endpoint. On a Sticky plan you set the persistence (rotation period) per port in Port Options.
What happens if a residential IP becomes unavailable during a sticky session?
If the underlying residential connection drops during a sticky session, LocalProxies automatically migrates your session to another residential IP in the same geographic area and flags the session as migrated. Your pipeline receives a header notification of the migration so you can decide whether to retry the current step or continue with the new IP.
Have more questions? Visit our FAQ or contact support.
Related use cases
Explore how other teams use residential proxies.
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