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Location · US

United States proxies

US proxies give you exits in six American metros plus country-level mobile IPs, which matters because US prices are often set per store, per ZIP code or per time zone rather than once for the country. Pick the metro that matches the market you are measuring, and keep the residential pools for pages that vary by place.

rotating · United States
http://USERNAME_pool-arcfast_country-us:PASSWORD@proxy.arcproxies.io:8000
sticky · New York · 10 min
http://USERNAME_pool-arcfast_country-us_city-newyork_session-k3f9a1x2_sesstime-10:PASSWORD@proxy.arcproxies.io:8000
ISP · United States
http://USERNAME_pool-arc_country-us:PASSWORD@proxy.arcproxies.io:8000

The short answer

  • US listing prices are usually shown before sales tax. Store the pre-tax price and the checkout total as two fields, not one.
  • Since 12 May 2025 the FTC's fees rule requires hotels, short-term rentals and live-event sellers to show the total price, mandatory fees included. A headline rate that omits a resort fee is now a data point worth flagging.
  • E-commerce was 17.1% of US retail sales in Q2 2026 (Census Bureau, seasonally adjusted), so most retail prices still have a store behind them and a location attached.
  • The six metros cover three time zones: run East Coast collections from New York or Miami and West Coast ones from Los Angeles or Seattle.

Availability

What you can target in the United States

Read from the live catalog at build time. Country targeting is the _country- token, a metro is the _city- token.

PlanCountryCityNotesFrom (at 1 TB)
ARC Basic
Rotating ISP
6 metros€0.59 / GB(€0.75 list)
ARC Fast
Rotating residential
6 metros€1.12 / GB(€2.00 list)
ARC Ultra
Premium residential
6 metros€2.17 / GB(€3.50 list)
ARC Mobile
Mobile 4G/5G
Country level, sticky up to 60 minutes€3.15 / GB(€3.50 list)

Metros in the United States

  • New York _city-newyork
  • Los Angeles _city-losangeles
  • Chicago _city-chicago
  • Miami _city-miami
  • Dallas _city-dallas
  • Seattle _city-seattle

Static ISP IPs are held per region rather than drawn from every country; check current stock on the static IPs page and in the dashboard.

Local work

What teams collect in the United States

Price monitoring

Grocery and big-box retailers commonly price per store and pick the store from a ZIP code or location cookie. Set the store explicitly in the session and use a metro exit near it, so a Chicago shelf price is not silently replaced by a Dallas one. See grocery price monitoring.

Travel fares

Hotel and resort pricing is where the FTC fees rule bites. Collect the advertised nightly rate and the total with mandatory fees side by side; the resort fee deep dive covers the fields.

SEO & SERP

Local packs and map results change between New York and Los Angeles for the same query. Rank trackers serving US agencies sample each target metro separately, as described in local rank tracking.

Real estate & jobs

Rental and listing portals such as Zillow and Realtor.com organise inventory by metro. Pair each metro's search with an exit in that metro so default radius and sort order match what a local renter sees.

Ad verification

US campaigns are often bought per designated market area and per device. Country-level US mobile exits let you check what a phone on a carrier network is served, alongside metro-level residential checks for desktop.

In depth

The United States market, for data teams

How US prices are shown, and what that means for your schema

Retail listings in the United States are normally quoted before sales tax, which is added at checkout and differs by state and locality. A price series that mixes listing prices with checkout totals will show jumps that are tax, not pricing. Keep list_price, tax, fees and checkout_total as separate columns and record the ZIP code the session used.

Fees are a separate question. The Federal Trade Commission's Rule on Unfair or Deceptive Fees took effect on 12 May 2025 and applies to live-event ticketing and short-term lodging: businesses in those sectors must show the total price, including mandatory fees, up front. For a hotel collector that turns 'nightly rate plus resort fee' into a compliance-relevant comparison rather than a curiosity.

US internet and e-commerce figures

MeasureValuePeriodSource
Individuals using the internet94.7% of population2024World Bank / ITU
E-commerce share of total retail sales17.1%, seasonally adjustedQ2 2026US Census Bureau
Population aged 5+ speaking only English at home78.3%2018–2022 ACSUS Census Bureau
Spanish among those speaking another language61.1%2018–2022 ACSUS Census Bureau

The language figures are the practical one for collectors. More than a fifth of residents aged five and over speak a language other than English at home, and Spanish is most of that, so US retailers, banks and telecoms frequently publish an es-US edition with its own promotions. Treat it as its own market in your schema rather than a translation.

Consumer privacy rules for US data

US consumer privacy is shaped in large part by state statutes. California's Consumer Privacy Act is the reference case: the state Attorney General's office notes that only the Attorney General or the California Privacy Protection Agency may take legal action against non-compliant businesses.

For collection of public, logged-out pages this mostly affects what you store downstream. Prices, availability and listing attributes carry no personal data; reviewer names, profile URLs and agent contact details on property listings do. Decide before the crawl which of those fields you need, and keep to our acceptable use policy. This is a description of the landscape, not legal advice.

Which US metro to use for which job

MetroTime zoneTypical reason to pick it
New YorkEasternNortheast retail, finance and media sites; East Coast ad checks
MiamiEasternFlorida travel and hospitality; Spanish-language editions
ChicagoCentralMidwest store pricing; a neutral middle-of-country baseline
DallasCentralTexas retail and fuel-sensitive categories
Los AngelesPacificCalifornia pricing and West Coast local search
SeattlePacificPacific Northwest retail; a second West Coast sample

Schedule by local time. A daily price snapshot taken at 09:00 Eastern is 06:00 in Seattle, before many stores have run their overnight repricing, so stagger runs per time zone if you compare metros.

FAQ

Questions

Something not covered? Write to contact@arcproxies.io.

Can I target Dallas or Seattle specifically?

Yes. Both are among the six US metros on the rotating pools, alongside New York, Los Angeles, Chicago and Miami. Add the city token from the availability table to the username; other US cities fall back to country-level targeting.

Can I target a US state or ZIP code?

No. Targeting is by country or by one of the six metros. When a site prices by ZIP code, the exit only needs to be in the US (ideally in the nearest metro); set the ZIP or store in the site itself and keep it fixed for the session.

Are US mobile proxies available?

Yes. The United States is one of the four ARC Mobile countries. Mobile exits are country-level only, with no metro choice, and a session can be held for 5 to 60 minutes. See mobile proxies.

Should I collect the price before or after sales tax?

Both, in separate fields. The listing price is what the retailer controls and is comparable across states; the checkout total is what the shopper pays. Record the ZIP code used so the tax line can be explained later.

Which pool should I start with for US work?

Put static pages, catalogues and sitemaps on the rotating ISP pool and use residential exits where the page changes by location or the site is strict about traffic. Residential vs datacenter proxies explains the trade-off.

Sources & review

Last reviewed by the ARC Proxies team. Prices are read from the live catalog at build time.

  1. [1]US Census Bureau: Quarterly Retail E-Commerce Sales, 2nd Quarter 2026 (CB26-133)
  2. [2]Federal Trade Commission: FTC Rule on Unfair or Deceptive Fees to Take Effect on May 12, 2025
  3. [3]State of California, Department of Justice, Office of the Attorney General: California Consumer Privacy Act (CCPA)
  4. [4]US Census Bureau: Most Americans Speak Only English at Home or Speak English "Very Well"
  5. [5]World Bank (ITU data): Individuals using the Internet (% of population) – United States

Locations

Other markets with city targeting

Australia proxiesAustralia proxies with Sydney, Melbourne and Brisbane exits: single-price rules, online retail share, Privacy Act reforms and time zones for data teams.Brazil proxiesBrazil proxies with São Paulo and Rio de Janeiro exits: instalment and Pix pricing, IBGE internet figures, Portuguese locale and the LGPD for data teams.Canada proxiesCanada proxies with Toronto, Vancouver and Montreal exits: English and French editions, Quebec's language and privacy rules, and StatCan e-commerce data.France proxiesFrance proxies with Paris, Lyon and Marseille exits: statutory soldes periods, French-language rules, online shopping figures and the CNIL regime.Germany proxiesGermany proxies with five metro exits and mobile IPs: unit-price rules, trade-fair hotel pricing, online shopping data and GDPR supervision by state.Hong Kong proxiesHong Kong proxies on residential and ISP pools: a bilingual market, a dollar pegged to the US dollar, online retail share and the PDPO for data teams.Italy proxiesItaly proxies with Rome, Milan and Naples exits: regional saldi dates, below-average online buying, AGCM consumer enforcement and the Garante's rules.Japan proxiesJapan proxies with Tokyo, Osaka and Nagoya exits plus mobile IPs: tax-inclusive pricing, points, METI e-commerce figures, encodings and the APPI.Netherlands proxiesNetherlands proxies with Amsterdam and Rotterdam exits: high online buying, ACM scrutiny of discounts, Amsterdam's tourist tax and Dutch GDPR rules.Poland proxiesPoland proxies with Warsaw, Krakow and Wroclaw exits: the 30-day lowest-price rule, GUS online sales figures, złoty pricing and UODO supervision.United Kingdom proxiesUK proxies with London, Manchester, Birmingham and Leeds exits plus mobile: online retail share, the drip-pricing ban and UK GDPR for data teams.

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