
Managed proxy API for effortless web scraping at scale
Proxies that let analysts collect unbiased, geo-accurate market data — pricing, listings, reviews, and trends — from any region at scale.
Ranked by success rate, pool quality, response time, and value.

Managed proxy API for effortless web scraping at scale

Premium enterprise proxy solutions for large-scale scraping.

Fastest business proxy network with direct ISP connectivity.

Smart scraping API and proxy manager built by the creators of Scrapy.

AI-powered web data collection platform for enterprises

The most powerful web data platform for public data collection.

Developer-friendly proxies with unlimited bandwidth.

Premium consent-based residential proxies for regulated industries and enterprise compliance.

The cheapest credible residential proxy network on the market at $1 per GB.
Market research depends on collecting accurate, representative data from across the web — competitor pricing, product assortments, customer reviews, search results, and regional trends. The problem is that what you see online is personalized and geo-filtered, and data sources block automated collection. Proxies remove both barriers.
To compare markets fairly, you need to view each region as a local would, free of your own location bias and personalization. Residential proxies with broad country and city targeting let you sample search results, prices, and content exactly as users in each market experience them.
Research projects often require thousands of queries across many sources. Rotating residential proxies spread that load so no single source sees suspicious volume, keeping success rates high. For survey and panel work, clean IPs also prevent your traffic from being filtered out as bot activity.
Look for wide geographic coverage, a large fresh pool, reliable success rates across diverse sites, and transparent per-GB pricing. The providers below are ranked on global coverage, data quality, and value for research workloads.
The most common flaw is collecting data through your own IP and cookies, which personalises results and quietly biases the whole study toward your profile rather than the market. Sampling only one region and generalising is another — prices, listings, and sentiment differ sharply by country. Teams frequently under-provision, hammering sources from too few IPs until block rates spike and datasets develop gaps, and they misjudge bandwidth on media-heavy pages, stalling mid-project. Unmonitored scrapers also drift as sites change layout, returning stale data that looks fine until analysis exposes the holes.
Route collection through fresh residential IPs in each target market with clean sessions, so results are neutral and locally accurate. Use rotation to gather at scale without rate limits, reserving cheaper datacenter proxies for open, high-volume sources and residential for defended or geo-sensitive ones. Plan bandwidth against expected page weight and volume, then validate continuously — sudden drops usually mean a block or layout change, not a real market signal. Consistent method and geo coverage turn raw scraping into research you can actually trust.
Research is only as global as your IPs. A provider with residential addresses across many countries lets you sample every market you need from a local vantage point.
Your own cookies and history skew results. Fresh IPs with clean sessions return neutral, representative data that reflects the real market rather than your profile.
Large studies mean many requests. Rotating pools distribute them across thousands of IPs so you collect at volume without rate limits or bans.
Open, high-volume sources do not always need premium IPs. Cheaper datacenter proxies can carry the bulk while residential handles defended or geo-sensitive targets.
Rendering listings, images, and reviews consumes data fast. Estimate volume up front and pick a per-GB plan with headroom to avoid mid-project throttling.
Blocked requests create silent gaps. Favour providers with high success rates and monitor for anomalies so your analysis rests on complete datasets.
Choosing proxies for market research
Proxies let you collect web data from the perspective of users in any country, removing personalization and geo-bias. They also distribute requests across many IPs so you can gather data at scale without being blocked or rate-limited by sources.
Residential proxies are usually best because they offer trusted, geo-accurate IPs across many countries and cities. Datacenter proxies can supplement for high-volume collection from sources that do not block them.
Yes. Choose a provider with broad country and city coverage, then route queries through IPs in each target market to capture localized prices, search results, and content simultaneously.
Your own IP, cookies, and history skew what sites and search engines show you. Fresh residential IPs with clean sessions in each market return neutral, representative results, so your analysis reflects the real local market rather than your personal profile.
Reviews and ratings often differ by storefront and country. Route collection through residential IPs in each region and use rotation to gather large volumes without rate limits, giving you a complete, geo-accurate picture of sentiment.
Text-heavy pages are light, but rendering images, scripts, and infinite-scroll listings adds up fast. Estimate pages times average page weight, favor lightweight requests where possible, and pick a plan with headroom, since residential proxies are billed per GB.
Use datacenter proxies for open, high-volume sources to keep costs low, and residential proxies for defended sites and anywhere geo-accuracy matters. A hybrid approach gives you both scale and reliable access across your sources.