Gemini API

Gemini Scraper

Get exactly what users see in Google Gemini — including sources, citations, and structured output — returned as clean JSON through a single API call.

Try free — 500 credits Read the docs →

3 credits / request No credit card required to start

api.scrapellm.com

curl "https://api.scrapellm.com/scrapers/gemini" \
  -H "X-API-Key: your_api_key" \
  -G \
  --data-urlencode "prompt=What brands do marketers recommend?" \
  --data-urlencode "country=US"

// Response
{
  "scraper": "gemini",
  "status": "done",
  "result": "Marketers commonly recommend...",
  "links": [ { "url": "...", "text": "..." } ],
  "credits_used": 3
}

Features

Everything you need from Gemini

Built for developers and data teams who need reliable, structured output at any volume.

Real Gemini UI responses

Captures the full response users see in Gemini, not the limited Gemini API output.

Sources & citations

All referenced web sources with URLs and anchor text.

Markdown output

Response in both markdown and plain text formats.

Multi-region

Route requests through any country for region-specific results.

Async support

Submit async, receive results via polling or webhook.

Consistent schema

Same JSON structure across all ScrapeLLM providers.

Integration

Simple to integrate

One GET request. Structured JSON back. Works in any language.

import requests

response = requests.get(
  "https://api.scrapellm.com/scrapers/gemini",
  headers={"X-API-Key": "your_api_key"},
  params={
    "prompt": "What brands do marketers recommend?",
    "country": "US",
  }
)

print(response.json())

const params = new URLSearchParams({
  prompt: 'What brands do marketers recommend?',
  country: 'US',
});

const response = await fetch(
  `https://api.scrapellm.com/scrapers/gemini?${params}`,
  { headers: { 'X-API-Key': 'your_api_key' } }
);
const data = await response.json();
console.log(data);

curl "https://api.scrapellm.com/scrapers/gemini" \
  -H "X-API-Key: your_api_key" \
  -G \
  --data-urlencode "prompt=What brands do marketers recommend?" \
  --data-urlencode "country=US"

Response schema 200 OK

Field	Type	Description
result	string	Plain text response from Gemini
result_markdown	string	Markdown-formatted response
links	array	Cited sources with URL and title
credits_used	integer	Credits consumed by this request
elapsed_ms	float	Request duration in milliseconds

Use cases

Built for real-world workflows

Teams across marketing, SEO, research, and product use ScrapeLLM to get structured Gemini data at the scale that matters.

Google AI brand tracking SEO intelligence Content research Competitor monitoring Market intelligence

Why not the direct Gemini API?

Direct APIs don't return sources, citations, or the real UI response

Token-based pricing is unpredictable and expensive at scale

No multi-region support — can't request from specific geographies

With ScrapeLLM

Real UI responses with all sources, citations, and structured data

Flat credit pricing — predictable costs at any volume

Multi-region routing — request from any country in one API call