Gemini Scraper API

Gemini Scraper API

Google Gemini Answers, Grounded and Parsed

Ask Gemini a question through the API and read the answer as data. The reply keeps its Markdown structure, carries the web pages Gemini based the answer on, and names the model that wrote it. Nothing to sign in to, nothing to keep alive between calls.

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Gemini Scraper API
Rich Answers That Keep Their Structure

Rich Answers That Keep Their Structure

Gemini formats comparison tables, ranked lists, and code blocks into its answers, and `output.text` keeps all of that as Markdown. Frontend-only widgets are stripped out, so what remains renders cleanly anywhere.

A flat 25 credits buys the whole answer, with no render fee on top and nothing charged for failed calls. Fire prompts in parallel for brand monitoring, answer tracking, or eval pipelines; every call stands alone.

See What Gemini Cited, Not Just What It Said

See What Gemini Cited, Not Just What It Said

Web-grounded answers arrive with a `sources[]` array: the external pages behind the answer, deduplicated, ordered by appearance, capped at 30. Track which sites Gemini surfaces for the questions your market asks.

Alongside the sources you get the model label Gemini reports (such as `3.5 Flash`) and an echo of your prompt, so stored responses stay auditable without extra bookkeeping on your side.

How It Works

1

Select a Target

Prompt to Reply screenshot
2

Send API Request

import requests
import json

token = "<SDO-token>"

url = f"https://api.scrape.do/plugin/gemini/chat?token={token}&q=Explain+quantum+entanglement+in+one+sentence"

response = requests.request("GET", url)

print(json.dumps(response.json(), indent=2))
3

Get Structured JSON

JSON
{
  "prompt": "Latest developments in AI with sources",
  "output": {
    "text": "The AI landscape is rapidly evolving from passive assistant models toward **autonomous agentic workflows, domain-specific scientific acceleration, and physical embodiment**.\n\n## 1. Shift to Autonomous Agents\n..."
  },
  "sources": [
    "https://openai.com/news/",
    "https://research.google/blog/",
    "https://news.mit.edu/topic/artificial-intelligence2"
  ],
  "model": "3.5 Flash"
}
Plans & pricing

How many Gemini Scraper API calls per plan?

Every Gemini Scraper API call costs 25 credits. Here's what each plan buys you.

Free
$0
Credits
1,000
Gemini Scraper API
40
calls / month
Hobby
$29/mo
Credits
250,000
Gemini Scraper API
10,000
calls / month
Most popular
Pro
$99/mo
Credits
1,250,000
Gemini Scraper API
50,000
calls / month
Business
$249/mo
Credits
3,500,000
Gemini Scraper API
140,000
calls / month
Advanced
$699/mo
Credits
10,000,000
Gemini Scraper API
400,000
calls / month
Enterprise
Custom
Credits
Unlimited
Gemini Scraper API
Unlimited
calls / month

All plans include automatic anti-bot bypass, residential proxies, and a 99.98% success rate. See full plan details.

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Frequently Asked Questions

They answer different questions. AI Studio gives you programmatic model access with per-token billing, a Google Cloud account, and your own system prompts. This plugin returns what the public Gemini web app actually answers, including its web grounding and formatting, at a flat 25 credits per successful call. If you care about what real Gemini users see, for brand tracking, answer monitoring, or research, the web product is the ground truth, and that is what this endpoint captures.

Whichever model the Gemini web app assigns to anonymous sessions at that moment; there is no model picker. The model field carries the label when Gemini exposes it (for example "3.5 Flash") and is simply absent otherwise, so treat it as optional when parsing.

Not as separate turns. Each call opens a fresh conversation, so fold whatever context matters into the prompt itself. A pattern like "Given that X, now answer Y" works well within the 4000-character limit.

Whatever language you ask in. A Turkish prompt gets a Turkish answer, a German prompt a German one. Write the prompt in the language you want back; there is no separate language switch.

For questions Gemini answers from the live web (news, prices, recent events), sources[] lists the external pages behind the answer, deduplicated and capped at 30. Questions Gemini answers from its own knowledge come back without the field entirely, which is normal, not an error.

Prompts cap at 4000 characters. Anything longer is rejected up front, before the call runs, so an oversized prompt never costs credits.

Markdown. When Gemini writes a comparison table or a step-by-step list, that structure survives into output.text intact. Pipe it through any Markdown renderer, or parse the structure directly if you are extracting tables.

Failures are free and retryable. A cold session pool or an upstream hiccup returns a 502 with a JSON body naming the cause; waiting a few seconds and retrying normally succeeds. Calls time out at 45 seconds, and only successful answers consume the 25 credits.

Head to the Gemini Scraper API documentation for every parameter, the exact response schema, all error bodies, and worked curl examples.