Geolocation Scraping APIs — Localized Data Collection Compared

Scraping localized data — pricing pages that change by country, SERPs that differ by region, e-commerce listings with location-dependent inventory — requires scraping APIs that support geolocation. Not all of them do it well. Some charge premium proxy surcharges, others have limited country coverage, and a few make it effortless.

This post compares the top geolocation scraping APIs, focusing on country/city-level targeting, proxy types, pricing impact, and Python SDK support.

Key Takeaways

• Bright Data has the broadest geographic coverage (195+ countries) but at a premium price ($0.60-12.00/GB for residential proxies)
• SearchHive ScrapeForge offers geolocation targeting at no extra credit cost — the same credits work globally
• ZenRows and SmartProxy provide strong geolocation with city-level targeting
• Most APIs charge 2-5x more for geo-targeted requests due to residential proxy costs
• For simple country-level SERP localization, SearchHive SwiftSearch and Serper.dev both support it without proxy surcharges

How Geolocation Scraping Works

There are three main approaches:

1. Residential proxies — Route requests through real residential IPs in the target country. Most reliable, most expensive. Used by Bright Data, Oxylabs, SmartProxy, SOAX.
2. Data center proxies with geo-routing — Send requests through data centers in specific regions. Faster, cheaper, but easier for sites to detect. Used by ScraperAPI, some tiers of SearchHive.
3. API-level geo parameters — The API handles routing internally. You just pass gl=us or country=GB. Used by SearchHive, Serper.dev, Google CSE.

For most use cases, option 3 is what you want. You shouldn't have to think about proxy types.

1. SearchHive ScrapeForge — Zero Geo Surcharges

SearchHive handles geolocation at the API level. Pass a country or city parameter, and the routing is handled internally.

import requests

headers = {"Authorization": f"Bearer {API_KEY}"}

# Scrape a page from a US perspective
resp = requests.post(
    "https://api.searchhive.dev/v1/scrapeforge",
    headers=headers,
    json={
        "url": "https://shop.example.com/products",
        "country": "us",
        "output_format": "markdown"
    }
)
print(resp.json()["markdown"])

# Search with geo context
resp = requests.post(
    "https://api.searchhive.dev/v1/swiftsearch",
    headers=headers,
    json={
        "query": "best coffee shops near me",
        "gl": "us",
        "hl": "en",
        "location": "San Francisco, CA"
    }
)

Geolocation features:

• Country-level targeting on all plans
• City-level targeting on Builder ($49/mo) and above
• No extra credit cost — a geo-targeted scrape costs the same as a regular one
• Works across SwiftSearch, ScrapeForge, and DeepDive

Pricing impact: None. 1 credit = 1 credit regardless of geolocation.

2. Bright Data — Broadest Coverage, Premium Price

Bright Data operates the largest residential proxy network in the industry. Their Web Unlocker and scraping APIs support country, city, state, and even ASN-level targeting.

from brightdata import BrightData

client = BrightData(token="your_token")

# Country-level targeting
response = client.web_unlocker.get(
    "https://localized-site.com",
    country="gb"
)

# City-level targeting
response = client.web_unlocker.get(
    "https://localized-site.com",
    country="jp",
    city="tokyo"
)

Geolocation features:

• 195+ countries, major cities, state-level
• ASN-level targeting
• Auto-rotate residential proxies
• Super proxy for data center routing (faster, cheaper)

Pricing impact: Residential proxies cost $0.60/GB (US) to $12.00/GB (less common countries). A typical page scrape uses 0.5-2MB, so ~$0.0003-0.001 per geo-targeted request. The cost is data-based, not request-based, which can be hard to predict.

3. ZenRows — Clean Geo Interface

ZenRows supports geolocation through their premium proxy network with a simple API parameter.

from zenrows import ZenRowsClient

client = ZenRowsClient("your_key")

response = client.get(
    "https://localized-site.com",
    params={
        "js_render": "true",
        "premium_proxy": "true",
        "geolocation": "de"  # Germany
    }
)
print(response.text)

Geolocation features:

• 190+ countries
• City-level targeting
• Geolocation is only available with premium proxies (extra cost)

Pricing impact: Premium proxies consume additional credits. At the Starter tier ($49/mo, 250K base credits), geo-targeted requests with premium proxies use significantly more credits per request.

4. ScraperAPI — Simple Country Codes

ScraperAPI offers geolocation through their premium proxy network.

from scraperapi import ScraperAPIClient

client = ScraperAPIClient("your_key")

# US-based request
html = client.get("https://example.com", params={"premium": "true", "country": "us"})

# UK-based request
html = client.get("https://example.com", params={"premium": "true", "country": "gb"})

Geolocation features:

• 15+ countries with premium proxies
• Simple country code parameter
• Only available with premium proxy tier

Pricing impact: Premium proxy requests consume additional credits beyond the base request cost.

5. SmartProxy — Residential Proxy Specialist

SmartProxy is a residential proxy provider that also offers a scraping API with built-in geo-targeting.

import requests

# Direct proxy usage
proxies = {
    "http": "http://user:pass@gate.smartproxy.com:7000",
    "https": "http://user:pass@gate.smartproxy.com:7000"
}

resp = requests.get(
    "https://example.com",
    proxies=proxies,
    headers={"Proxy-Authorization": "Basic base64encoded"}
)

Geolocation features:

• 195+ countries
• City-level and state-level targeting
• Rotating and sticky sessions

Pricing: Residential proxies from $2.20/GB (pay-as-you-go) to $1.75/GB (monthly plans). Scraping API plans from $75/mo.

6. Oxylabs — Enterprise Geo Coverage

Oxylabs offers one of the most comprehensive geo-targeting setups in the industry, with both data center and residential proxy options.

from oxylabs import WebScraper

scraper = WebScraper(username="user", password="pass")

result = scraper.get_source(
    source="universal",
    url="https://example.com",
    geo_location="California, United States"
)

Geolocation features:

• Country, state, city targeting
• Both data center and residential proxies
• Strong compliance documentation

Pricing: Enterprise-focused. Starting around $99/mo for dedicated plans.

7. SOAX — Rotating Proxy Network

SOAX provides residential, mobile, and data center proxies with strong geo-targeting.

import requests

proxy = "http://user:pass@proxy.soax.com:9000"
resp = requests.get(
    "https://example.com",
    proxies={"http": proxy, "https": proxy}
)

Geolocation features:

• 150+ countries
• City-level targeting
• Mobile proxies for app-specific geo-targeting

Pricing: Starting at $75/mo for residential proxies.

Comparison Table

Recommendation

For most developers: SearchHive ScrapeForge. No geo surcharges, clean API, country and city targeting without thinking about proxy types. If you're building a price comparison tool that needs to check prices across 10 countries, you can do it without watching your credit consumption spike.

For enterprise geo requirements: Bright Data or Oxylabs if you need 195+ countries, mobile proxies, or ASN-level targeting. The cost is higher but the coverage is unmatched.

For budget geo scraping: ScraperAPI with country codes is the simplest entry point. You'll pay more per geo-targeted request, but the API is dead simple.

Get started with SearchHive — 500 free credits, geo-targeting on all plans, no credit card required.

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Updated April 2026.