Yelp is one of the largest public directories of local businesses on the web — millions of listings with ratings, review text, hours, categories, and photos across every US metro and beyond. ProxyOmega gives agencies, multi-location brands, and research teams the geo-targeted residential IPs and sticky sessions needed to collect that public data cleanly and at scale.
Yelp's public listings are a foundational dataset for local commerce. Multi-location brands track ratings and fresh reviews across hundreds of storefronts they operate. Agencies monitor the client listings they manage, verifying that hours, categories, and photos stay accurate after updates. Market researchers measure competitor density, rating distributions, and price bands within a metro before a client opens a new location, and data teams build local-business datasets — names, categories, neighborhoods — from what Yelp publishes openly.
The scale is what forces the infrastructure question. Covering 300 locations across 40 cities, each with a paginated review history, means tens of thousands of page loads per refresh cycle. From one office IP that pattern is quickly rate-limited, and results can degrade in ways that are hard to detect — missing listings, truncated review pages, region redirects. Yelp is also localized: default search behavior, and even which businesses surface, reflect where the visitor appears to be, so a crawler that isn't in-market doesn't reliably reproduce what a local user sees.
A geo-targeted residential pool fixes both problems: requests spread across real household IPs so per-address volume stays modest, and city-level targeting keeps localized surfaces consistent. The obligations stay with you, though — use Yelp's public pages in line with its terms of service and applicable law, respect reasonable request rates, and only manage listings and accounts you legitimately control. Treat rate limits as a design constraint rather than an obstacle: spread requests over time, cache pages you have already collected, and recrawl only the listings that actually change.
Yelp workloads split into three shapes: broad recurring sweeps across many listings, geographically precise search sampling, and deep one-off collection runs. ProxyOmega covers each with a different network, so match the plan to the shape of the job rather than forcing everything through one pipe.
Flat-rate ports with unmetered bandwidth and interval rotation across a 1.5M+ residential pool suit recurring sweeps over large listing sets. Refreshing ratings and new reviews across every location a brand operates costs the same whether you poll daily or hourly, which makes Budget Unlimited (/plan-unlimited/) the default for ongoing reputation monitoring.
When you need Yelp search sampled from inside a specific market — which businesses rank for "dentist" in Denver versus Austin — IP geography matters. Platinum (/plan-platinum/) provides ISP-quality residential IPs with country, state, and city targeting, billed per GB, so precise in-market sampling stays affordable at low volumes.
One-off research projects that walk entire categories across many metros are throughput-bound: thousands of listing pages plus paginated reviews add up fast. Premium Unlimited (/plan-premium/) gives you dedicated 200 Mbps to 1 Gbps residential bandwidth with unmetered transfer, so big collection runs finish in hours instead of days.
Setup is identical across plans, and every port serves HTTP, HTTPS, and SOCKS5 on one endpoint — no per-protocol configuration. The steps below get a first Yelp business page fetched within a few minutes; tool-specific walkthroughs live under /integration/. If your stack already routes traffic through a proxy manager, the same credentials work there too — browser-level tools like FoxyProxy (/integration/foxyproxy/) and system-wide routing with Proxifier (/integration/proxifier/) are both covered.
residential.proxyomega.com:10000 — HTTP, HTTPS, and SOCKS5 all work on this one port.-country-us to the username; for Yelp's international sites use codes like -country-ca or -country-gb.-session-yelp01 (sticky up to 24 hours); add -ttl-900 for timed rotation.Single business-page snapshots are independent requests, so rotation is the right default: per-port interval rotation spreads a listing sweep across the residential pool with no per-IP hotspots. Pagination is where stickiness matters. A listing's review history spans many pages, and walking them as one coherent visitor — a -session-y12 suffix on the username — produces cleaner, more consistent results than switching identity mid-walk. Cap the hold with -ttl-900 so long-running jobs still rotate on a schedule.
For search, remember that Yelp takes an explicit location in the query, but the visitor's apparent location still shapes defaults and can trigger country-level redirects. Route metro-level rank sampling through Platinum with city targeting so the IP matches the market you're measuring, and keep each sampled search flow on a short sticky session. For international coverage, switch country codes per market rather than relying on one geography to see everything. As a rule of thumb, volume belongs on the rotating pool and coherence belongs on sticky sessions — splitting workloads along that line keeps both datasets clean.
| Workflow | Session type | Targeting |
|---|---|---|
| Ratings sweep across all locations | Rotating (per-port interval) | -country-us |
| Review pagination on one listing | Sticky -session-y12 | -country-us |
| Local search sampling per metro | Sticky with -ttl-900 | Platinum city targeting |
| International listing checks | Rotating (per-port interval) | -country-gb, -country-ca |
Yelp pages lean on JavaScript, so a real browser often collects more reliably than raw HTTP. The Playwright snippet below routes Chromium through a sticky US residential session and loads a public business page. The same proxy block works in Puppeteer (/integration/puppeteer/) and Selenium (/integration/selenium/); for lighter HTTP-only jobs, plain Python requests works too. Swap in any public listing URL, keep the session ID stable while you paginate a single listing, and start a new session ID when you move on to the next one.
from playwright.sync_api import sync_playwright
PROXY_USER = "YOUR_USERNAME-country-us-session-yelp01"
PROXY_PASS = "YOUR_API_KEY" # dashboard API key
with sync_playwright() as p:
browser = p.chromium.launch(proxy={
"server": "http://residential.proxyomega.com:10000",
"username": PROXY_USER,
"password": PROXY_PASS,
})
page = browser.new_page()
page.goto("https://www.yelp.com/biz/gary-danko-san-francisco",
timeout=60000)
print(page.title()) # business name from the public listing
browser.close()-country-gb, keeps results consistent with what an in-market user sees. No provider can promise pixel-identical results for every user.residential.proxyomega.com:10000 works unchanged across requests, Scrapy, Playwright, browser extensions like FoxyProxy, and system-wide tools like Proxifier. Credentials stay the same too: your username plus dashboard API key, or IP whitelisting if you prefer to skip passwords. See /integration/ for per-tool setup.City-targeted residential IPs with sticky sessions — from signup to your first listing in minutes.
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