# Vehis Discovery Extractor (`getdataforme/vehis-discovery-extractor`) Actor

The Vehis Discovery Extractor efficiently extracts detailed vehicle data from Vehis, offering insights into car models, specifications, and pricing....

- **URL**: https://apify.com/getdataforme/vehis-discovery-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## 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

***

### README.md

## Vehis Discovery Extractor

Welcome to the Vehis Discovery Extractor! This tool is designed to efficiently extract detailed vehicle data from Vehis, providing comprehensive insights into car models, specifications, and pricing. By leveraging this extractor, users can gain valuable information for market analysis, competitive intelligence, and more.

### Features

- **Comprehensive Data Extraction**: Retrieve full details on vehicles including brand, model, generation, and specifications.
- **High-Quality Data**: Ensures data accuracy and reliability with up-to-date information.
- **Performance Efficiency**: Fast extraction process to handle large datasets seamlessly.
- **Customizable Outputs**: Export results in various formats such as JSON, CSV, or Excel.
- **User-Friendly Interface**: Easy configuration and operation for users of all technical levels.

### Input Parameters

| Parameter | Type   | Required | Description                                      | Example                          |
|-----------|--------|----------|--------------------------------------------------|----------------------------------|
| `brand`   | String | No       | The brand of the vehicle to search                | `"BMW"`                          |
| `model`   | String | No       | Specific model of the vehicle                     | `"X2"`                           |
| `year`    | Number | No       | Production year range                             | `[2023, 2026]`                   |
| `priceMin`| Number | No       | Minimum price filter                              | `15000000`                       |
| `priceMax`| Number | No       | Maximum price filter                              | `30000000`                       |

### Example Usage

#### Input JSON

```json
{
  "brand": "BMW",
  "model": "X2",
  "year": [2023, 2026],
  "priceMin": 15000000,
  "priceMax": 30000000
}
```

#### Output JSON

```json
{
  "data": [
    {
      "uuid": "80822343-f91c-4845-b329-a19240151f1d",
      "imageUrl": "https://cdn.imagin.studio/getImage/?make=bmw&modelFamily=x2&...",
      "brand": "BMW",
      "model": "X2",
      ...
    }
  ]
}
```

### Use Cases

- **Market Research and Analysis**: Analyze market trends and vehicle specifications.
- **Competitive Intelligence**: Gain insights into competitor pricing and offerings.
- **Price Monitoring**: Track price changes over time for specific models.
- **Content Aggregation**: Aggregate data for automotive content platforms.
- **Academic Research**: Use detailed vehicle data for research projects.
- **Business Automation**: Automate data collection processes in business workflows.

### Installation and Usage

1. Search for "Vehis Discovery Extractor" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output data is structured with key fields such as `uuid`, `imageUrl`, `brand`, `model`, `generation`, `variant`, `fuelType`, `transmission`, `driveType`, `bodyType`, `color`, `price`, and more. Each entry provides comprehensive details about a vehicle, making it easy to analyze and utilize the data.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

***

# Actor input Schema

## `SearchKeys` (type: `array`):

The search keys for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "item_limit": 10
}
```

# 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("getdataforme/vehis-discovery-extractor").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("getdataforme/vehis-discovery-extractor").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 getdataforme/vehis-discovery-extractor --silent --output-dataset

```

## MCP server setup

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

```

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/qnwKSZefgSlzXSCL6/builds/4Zkxg9WSWZTuS8VvM/openapi.json