Gemini Scraper

Pull Gemini answers as structured data.

Submit a prompt, get a parsed response: answer text, sources, code blocks, and tables, all returned as typed JSON. Handles 2.5 Pro, 2.5 Flash, and Deep Research.

Try in playground Read the docs

credits / call

3.4s

p50 latency

2.5 Pro/Flash

models

GET /gemini

GET /gemini
  ?prompt=summarize+Q4+2025+earnings+for+top+5+cloud+providers

→ 200 OK · 15 credits · 3.4s
{
  "recipe": "Gemini",
  "conversation": {
    "messages": [
      { "role": "user",      "content": "summarize Q4 2025 earnings..." },
      { "role": "model",     "content": "AWS led with $28.8B, growing 19%...",
        "sources": [
          { "url": "https://...", "title": "AWS Q4 earnings" },
          ...
        ] }
    ],
    "total_messages": 2
  }
}

Live playground

See it work, before you sign up.

Drop in a URL, run a real call against the live API, and watch the JSON come back in about a second. No API key required.

All current models

Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash, and Deep Research mode. We route to the right family and stay current as Google ships updates.

Structured output

Set format:"structured" and the response splits cleanly into answer text, sources, code blocks, and tables. No HTML scraping required.

Search-grounded answers

search:true enables real-time grounding. Returns the actual URLs Gemini consulted with snippets, perfect for citation-backed AI products.

Deep Research mode

Multi-step research that produces report-grade output. Pass mode:"deep_research" and we manage the long-running session.

Streaming

Set stream:true for token-level streaming. Same shape as Gemini's native streaming API, drop-in compatible.

No Google account, no rate limits

You don't need a Google AI Studio key or Vertex project. We pool capacity and bill per-success only.

Drop-in code

Copy. Paste. Ship.

import { Ujeebu } from "ujeebu";
const uj = new Ujeebu(process.env.UJEEBU_KEY);

const { data } = await uj.gemini({
  prompt: "summarize Q4 2025 cloud earnings",
  model:  "gemini-2.5-pro",
  format: "structured",
  search: true,
});

console.log(data.answer);
data.sources.forEach(s => console.log(s.url));

from ujeebu import Ujeebu
uj = Ujeebu(api_key=os.environ["UJEEBU_KEY"])

result = uj.gemini(
    prompt="summarize Q4 2025 cloud earnings",
    model="gemini-2.5-pro",
    format="structured",
    search=True,
)
print(result["answer"])

curl -G https://api.ujeebu.com/gemini \
  -H "ApiKey: $UJEEBU_KEY" \
  --data-urlencode "prompt=summarize Q4 2025 cloud earnings"

const { data } = await uj.gemini({
  prompt: "comprehensive market analysis: linen arc lamps",
  model:  "gemini-2.5-pro",
  mode:   "deep_research",
});

console.log(data.report);    // multi-section markdown
console.log(data.sources);   // ~30-50 sources

What people build with it

Real things real teams shipped this quarter.

AI answer monitoring

Track Gemini's answers for your brand and competitor queries on Google. Daily cron, alert on cited-source shifts.

GEO / AEO tracking

Generative Engine Optimization for Google's AI surfaces. Measure which sources Gemini cites for buyer-intent prompts.

Research automation

Deep Research mode at scale. Kick off 50 multi-step research jobs and harvest the structured reports overnight.

In-app AI features

Power chat or Q&A in your product against Gemini without managing Vertex projects, quotas, or model deprecations.

Pricing

15 credits per Gemini Scraper call. Here's what that buys.

One credit pool covers every endpoint. Failed calls cost 0. No per-feature upcharges, no premium-proxy tax. See full pricing →

Start free

Small per month

$49

20k

Gemini Scraper calls / month

300k credits · used flexibly across all endpoints

Choose Small

Ship Gemini Scraper tonight.

5,000 credits free. No card. Real residential proxies on the free tier.

Get API key Try in playground