Residential proxies
RecommendedComplete local coverage of protected or geo-gated sources, one market at a time, with rotation for volume.
Market research and data collection · Residential recommended
Research datasets are only as good as their coverage: a job board seen from one country, a review site that hides half its pages from foreign visitors, a real-estate portal that throttles after a hundred pages. Country-by-country residential collection gives complete, comparable data; datacenter exits handle the sources that do not care who is asking.
01 — Which network
A recommendation is only useful with its trade-offs. The cards below say what each network does well for market research and data collection, and where it stops being worth the money.
Complete local coverage of protected or geo-gated sources, one market at a time, with rotation for volume.
Bulk collection from open sources, public APIs and archives at the lowest cost per request.
For sources that require a stable authenticated session over long crawls.
Only for mobile-exclusive sources and app content.
02 — The recipe
The settings that matter for market research and data collection, and a working example on the right. Replace USER and PASS with the credentials issued at signup.
import requests
OPEN = "http://USER:[email protected]:8000" # dedicated datacenter IP, bulk sources
GUARDED = "http://USER-cc-{cc}:[email protected]:9000" # residential, geo-gated sources
def fetch(url, market=None):
proxy = GUARDED.format(cc=market) if market else OPEN
return requests.get(url, proxies={"http": proxy, "https": proxy}, timeout=30).text
03 — Budget
Per-GB pricing is predictable once you know your page size. Enter your monthly volume; the average size is pre-filled with a realistic figure for this job and can be changed.
average document (HTML or JSON)
Residential rate ladder, identical in every country. Buying the month's traffic in one purchase reaches the tier shown; smaller top-ups are priced at their own tier. Full ladder.
04 — Best practices
The pool is rarely the problem. These four habits decide the success rate and the bill.
Every source on residential wastes money; every source on datacenter loses coverage. Classify once.
Cross-country comparisons need each country collected locally.
Research is not a licence to overload a site; pace per domain and honour robots.txt where it applies.
Collect what you have a lawful basis for and minimize the rest.
05 — Questions
Both: datacenter for open sources at $0.80 per IP with 100 GB pooled each month, residential for guarded or geo-gated ones per GB. Route each source to the cheapest network that succeeds.
At 250 KB per document that is about 500 GB. On residential the 500 GB tier is $1.19 per GB, about $595; on datacenter, five IPs pool 500 GB a month for around $4.
Collecting public data is allowed within the acceptable use policy and the law that applies to you and the source. Personal data, paywalled content and sites that prohibit it are your responsibility to exclude.
No. Unlimited threads on every network; per-domain politeness is on you.
Ready when you are
Create your account, top up $10 and try the recipe above on your real target. What you do not use stays on your balance.