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Documentation Index

Fetch the complete documentation index at: https://docs.scrapellm.com/llms.txt

Use this file to discover all available pages before exploring further.

ScrapeLLM routes each request through infrastructure in the country you target via the country parameter. This page explains how to verify routing worked, how language interacts with country, and per-scraper region support.

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How country routing works

Pass any ISO 3166-1 alpha-2 country code to the country parameter. ScrapeLLM routes your request through infrastructure in that region so the AI provider sees it as a local user. 
# Get ChatGPT's response as seen by users in Germany
curl "https://api.scrapellm.com/scrapers/chatgpt" \
  -H "X-API-Key: YOUR_API_KEY" \
  -G \
  --data-urlencode "prompt=Best CRM software?" \
  --data-urlencode "country=DE"
This is essential for localised brand research — AI responses vary significantly by region.

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Language behaviour

country controls geo-routing. It does not force a response language. AI providers infer language primarily from the prompt itself.
  • Write the prompt in the target language for the most consistent localised response
  • Mixed-language prompts (English prompt + non-English country) often work but may produce inconsistent localisation

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Per-scraper region support

Most scrapers support a broad set of countries. Exceptions:
ScraperUnsupported countries
ChatGPTNone known
PerplexityNone known
GrokJP, TW
CopilotJP, TW
GeminiJP, TW
Google AI ModeJP, TW
Amazon RufusOnly supports: US, GB, DE, ES, FR, IT, JP, AU, IN, MX, BR
For Amazon Rufus, the country parameter maps directly to Amazon marketplace:
Country codeMarketplace
USamazon.com
GBamazon.co.uk
DEamazon.de
ESamazon.es
FRamazon.fr
ITamazon.it
JPamazon.co.jp
AUamazon.com.au
INamazon.in
MXamazon.com.mx
BRamazon.com.br
Unknown country codes for Amazon Rufus fall back to amazon.com.

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Verifying the proxy was applied

A common question is: “I targeted country X but the response references country Y — is the routing broken?” The proxy almost always applied correctly. What you’re seeing is AI model behaviour, not a routing failure:
  1. Pre-trained bias: If a model was trained heavily on US English content, it may default to US-centric references even when served from a different region. The proxy was applied; the model just didn’t fully incorporate the regional context.
  2. Prompt overrides geography: A prompt like “best pizza in Cincinnati” returns Cincinnati results from any proxy — the geography parameter affects the infrastructure routing, not what the user asked for.
  3. Check the cited sources: The strongest signal that routing worked is links[], sources[], or citations[] — if these contain .de, .fr, or other country-specific domains, the proxy was applied correctly. Response language being US-centric while sources are regional is a model bias, not a routing bug.
If sources, language, and all other signals point to the wrong region, contact [email protected] with the affected job_id.

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Common questions

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Why did my US-targeted request return UK prices?

This is typically model bias from training data, not a routing failure. The AI provider processed your request from US infrastructure but generated an answer that references UK content. Check the links[] or sources[] field — if URLs are .com (not .co.uk), routing was correct.

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What countries are supported for ChatGPT?

ChatGPT supports a broad range of countries including US, GB, DE, FR, AU, CA, JP, and many more. Pass any ISO 3166-1 alpha-2 code and ScrapeLLM will route through infrastructure in that region.

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Can I get responses in a specific language without translating my prompt?

Not reliably. The AI provider determines the response language based on the prompt. Write your prompt in the target language for the most consistent results.