# Quickgpt - Unlimited Lightweight Ai Api (`scravitylab/quickgpt`) Actor

Unlimited, fast, and affordable AI API for web scraping and text extraction.
Run GPT-4 prompts for automation, summarization, and data analysis with no token limits.

- **URL**: https://apify.com/scravitylab/quickgpt.md
- **Developed by:** [Scravity Lab](https://apify.com/scravitylab) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$12.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## QuickGPT – Unlimited & Lightweight AI API

Run AI prompts easily for **web scraping, summarization, data analysis, and automation** with no token limits. QuickGPT makes AI cheap, fast, and simple to integrate into your workflows.

🚀 **Why use QuickGPT?**

- **Unlimited & Lightweight** – Pay per request, not per token. No hidden limits.
- **Perfect for Automation** – Use AI inside web scraping, crawling, or pipelines.
- **Data Extraction & Analysis** – Summarize pages, clean up text, generate insights.
- **Multiple Models** – Choose between **GPT-4** (fast & reliable) and **DeepSeek** (coming soon).
- 🌐 **Online Search** – Experimental web access feature coming soon.

⚡ **Free for a limited time** – Try it while it’s under active development!

***

### Features

- **Models available now**:
  - GPT-4 | Fast – No web access
  - DeepSeek | Coming soon
- **Flexible outputs**: Text or JSON format
- **Web access mode**: Coming soon (fetch online information directly)
- **Simple setup**: Just provide your prompt, select a model, and get results instantly

***

### Input Parameters

| Parameter         | Type    | Description                                                                 |
|-------------------|---------|-----------------------------------------------------------------------------|
| `model`           | string  | AI model to use (`gpt4` or `deepseek`). Default: `gpt4`.                    |
| `prompt`          | string  | Your instruction or text to process. **Required**.                          |
| `online`          | boolean | Enable web search (coming soon). Default: `false`.                          |
| `response_format` | string  | Output format: `"text"` or `"json"`. Default: `"text"`.                     |

***

### Example Usage

#### Run with GPT-4

````
```json
{
  "model": "gpt4",
  "prompt": "Summarize this article into key points for SEO.",
  "response_format": "text"
}
````

JSON Output Example

```
{
  "model": "gpt4",
  "prompt": "Extract product names and prices from this text.",
  "response_format": "json"
}
```

### Coming Soon

- ✅ DeepSeek model integration

- 🌐 Online search mode

- 📊 More advanced response formats

***

### Notes

- **Free for a limited time** – get early access now.

- Actor is **under development** – expect frequent updates.

# Actor input Schema

## `model` (type: `string`):

Choose which AI model to run your prompt with.

## `prompt` (type: `string`):

Enter your question, instruction, or text for QuickGPT to process.

## `online` (type: `boolean`):

Allow QuickGPT to fetch online information (experimental). If disabled, runs offline only.

## `response_format` (type: `string`):

Choose how you want QuickGPT to format its response.

## Actor input object example

```json
{
  "model": "gpt4",
  "prompt": "Hello what are you ?",
  "online": false,
  "response_format": "text"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scravitylab/quickgpt").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("scravitylab/quickgpt").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scravitylab/quickgpt --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scravitylab/quickgpt"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/BeRp7XjceZcUGKC41/builds/aNb6PAvu0zUacLJfG/openapi.json