Proxies for market research: seeing each market as locals do

Originally published on proxymint.

Which market research jobs need residential exits, where datacenter is enough, how to design a multi-market collection, and a sized 5-country weekly run.

TL;DR

• Market research needs the page a local customer gets. Prices, search results, ads and stock change by country, and many sites decide the version from the visitor's IP and Accept-Language header, not the URL.
• Check first whether the site keys on the URL or the IP. EU rules ban redirecting shoppers to a country version without consent, so many EU storefronts show a country's prices on its own URL from anywhere; the IP then changes only the extras.
• Split the job by target, not by market. Lenient storefronts run on flat-rate datacenter ports in each country; search results and pages built around a region or city go to residential per GB.
• Size a 5-country weekly run in bytes, not pages. The mixed design uses 10 datacenter ports plus a 26 GB residential package; rendering every page through residential would move 91 GB.
• Record what the site showed, not what was requested. Store the exit IP, the currency and country the page displayed, and the timestamp with every price.

Key takeaways

• Test URL versus IP before buying anything. Load each country's storefront URL from one location and compare it with a local exit; if prices match, the job needs fewer proxies than planned.
• Send lenient targets to datacenter by country. Dedicated IPv4 ports are chosen by country at order time and cost a flat monthly rate, which suits weekly HTML price checks.
• Keep residential for location-sensitive pages. Regional stock, delivery and result pages are where a home exit in that region or city changes the answer.
• Use the free ad libraries first. Google's Ads Transparency Center filters ads by region and date, which covers much of competitor ad research without any proxy.
• Validate each market against a real local view. Compare a sample of collected pages with the same URLs loaded by someone in-market before trusting the dataset.

Read the full guide on proxymint, with the commands, tables and sources.