Geolocation

Examples

Geolocation shows up fast once you scrape anything localized.

• Localized prices: the same product page returns different currency, tax, or stock info depending on request origin
• Geo-blocked pages: a page works from the US and returns a block page from Germany
• Map and store data: search results, service areas, and nearby listings depend on latitude, longitude, or IP location

curl "https://www.scraperouter.com/api/v1/scrape/?url=https://example.com" \
  -H "Authorization: Api-Key $api_key"

If the target varies by country, you route the request through the right location instead of pretending one generic proxy setup will keep working forever.

import requests

url = "https://www.scraperouter.com/api/v1/scrape/"
params = {
    "url": "https://example.com/product/123"
}
headers = {
    "Authorization": "Api-Key " + api_key
}

response = requests.get(url, params=params, headers=headers, timeout=60)
print(response.status_code)
print(response.text[:500])

The important part is not the code. The important part is knowing that if the target is location-sensitive, your result quality is tied to request geography whether you planned for it or not.

Practical tips

• Test the same URL from multiple countries before you build the scraper around one response shape
• Check for location-dependent changes early: currency, language, pagination, availability, consent banners, challenge pages
• Don’t confuse language with geolocation: changing Accept-Language is not the same as sending the request from the right country
• For map-style targets, inspect network calls first: many location-driven pages load data from JSON or GraphQL endpoints instead of the rendered HTML
• Keep geolocation configurable per request, not hardcoded into the scraper
• Watch the cost tradeoff: localized residential routing is useful, but it is also more expensive than pretending a datacenter IP from one region solves everything
• Store the location used with each result so debugging makes sense later

result = {
    "url": "https://example.com/search?q=laptops",
    "country": "us",
    "status_code": 200,
    "fetched_at": "2026-03-29T12:00:00Z"
}

• If a site only changes at the country level, don’t overcomplicate it with city-level routing you don’t need

Use cases

• Ecommerce monitoring: collect country-specific prices, inventory, shipping restrictions, and catalog differences
• SERP scraping: capture search results as users in a specific country actually see them
• Travel and ticketing: compare fares, availability, and localization that shift by market
• Store locators and maps: pull nearby businesses, service zones, coordinates, and location-based result sets
• Ad verification: confirm which landing pages, offers, or creatives appear in a given region
• Compliance and availability checks: verify what content is visible or blocked in different countries

This is one of those things that looks optional in a toy scraper and becomes very non-optional in production. If the site is location-aware, geolocation is part of the input, same as headers, cookies, or session state.