City-Level Routing | ScrapeRouter

City-level routing means sending a scraping request through an IP located in a specific city instead of just picking a country or region. You use it when a site changes results, pricing, inventory, or anti-bot behavior based on the user’s apparent location, and country-level targeting is too blunt to be useful.

Examples

A few cases where city-level routing matters:

Local search results: food delivery, classifieds, events, local services
Inventory checks: store pickup availability often changes by city
Price verification: travel, rentals, and local offers can shift based on location
Ad and SERP monitoring: geo-targeted campaigns are usually city-sensitive, not just country-sensitive

Example request with a city target:

curl -X POST https://www.scraperouter.com/api/v1/scrape/ \
  -H "Authorization: Api-Key $api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/search?q=coffee",
    "country": "US",
    "city": "Chicago"
  }'

Typical response shape from a scraper pipeline might include the final routing metadata:

{
  "url": "https://example.com/search?q=coffee",
  "country": "US",
  "city": "Chicago",
  "status": 200,
  "proxy_type": "residential"
}

Practical tips

Use city-level routing only when the target actually behaves differently by city. If the site only cares about country, adding city targeting just burns more money and makes routing harder.
Pair it with session stickiness when a workflow spans multiple requests: login, search, pagination, checkout simulation.
Expect lower supply and higher cost than country-level routing, especially for smaller cities.
Validate the result, don’t just trust the proxy label: check page content, store IDs, currency, pickup options, or localized modules.
Have a fallback path: exact city first, then nearby metro, then country-level. Production systems need graceful degradation.
Watch block rates by city. Some cities are noisier because everybody keeps hammering the same proxy pools.

A simple pattern is:

payload = {
    "url": "https://example.com/store-locator",
    "country": "US",
    "city": "Austin"
}

# If Austin inventory data keeps failing, fall back to country-level or a nearby city.

What usually goes wrong in production:

assuming city routing is precise when the provider really means metro area
mixing city targeting with datacenter IPs and expecting local-user behavior
not checking whether the site geolocates by IP, GPS prompts, account profile, or cookie history

Use cases

Retail scraping: compare in-stock items and pickup availability across cities
Travel monitoring: check hotel, rental, or flight pages from the user location the site actually cares about
Local SEO tracking: see what a search or directory page looks like in one city versus another
Marketplace intelligence: inspect listings, delivery options, fees, or ranking differences by city
Ad verification: confirm that regionally targeted creatives and landing pages are actually showing where they should

For ScrapeRouter, this is the kind of thing a router layer is supposed to handle. You don’t want application code full of proxy-provider quirks just because one target needs Chicago and another one only needs US-wide coverage.