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market research and competitive intelligence proxies

representative market data means seeing catalogues, assortment and pricing the way a customer in that market sees them, across every market you cover, without getting cut off partway.

why this needs proxies

retail and marketplace sites localise what they show by market and rate-limit repeated automated access, so a study run from one location or one address is neither representative nor complete. querying from inside each market, at a rate spread across enough addresses, is what returns data that reflects the market rather than your office.

which proxies to use

residential from $1.30 country, state, city and asn targeting so each market is sampled from inside it.
residential lite from $0.20 for large studies where per-gb cost dominates and a slightly smaller pool is an acceptable trade.
datacenter from $0.35 for sources that do not check ip reputation, where it is far cheaper and faster.

what it costs

estimate: about 0.6 mb per page, covering a product or listing page as html with light assets. pages rendered in a full browser cost several times more.

pagesbandwidthresidentialresidential litedatacenter
50,00029 gb$56.55$8.70$17.40
500,000293 gb$468.80$73.25$131.85
2,000,0001,172 gb$1523.60$234.40$410.20

volume rates are applied automatically, so the larger rows already reflect the cheaper tier.

how to set it up

sessionrotating, with country targeting set per market
accountone random 16-digit number. no email, no name, no kyc.
paymentcrypto only: monero, bitcoin, litecoin and ethereum.

faq

why do i need proxies for market research?
sites show different catalogues and prices by market and throttle repeat automated access. proxies let you sample each market from inside it and spread the load so the study finishes.
how do i cover many countries?
residential supports country, state and city targeting, so one product covers every market you need; you set the country per request rather than buying a separate pool per country.
how much bandwidth will a study use?
it tracks pages times page weight. plain html is well under a megabyte; rendering each page in a browser multiplies that, so scrape html directly where you can.
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