# Autodesk Search Results Extractor (`getdataforme/autodesk-search-results-extractor`) Actor

The Autodesk Search Results Extractor is an Apify tool designed for scraping and extracting detailed search result data from Autodesk's website. It captures product information like URLs, titles, descriptions, and more, offering customizable item limits and structured JSON output....

- **URL**: https://apify.com/getdataforme/autodesk-search-results-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce, Automation, Lead generation
- **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/platform/actors/running/actors-in-store#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

### Autodesk Search Results Extractor

#### Introduction

The Autodesk Search Results Extractor is a powerful tool designed to efficiently scrape and extract search result data from Autodesk's website. This Apify Actor enables users to gather comprehensive information about various Autodesk products, facilitating market research, competitive analysis, and content aggregation.

#### Features

- **Comprehensive Data Extraction**: Captures detailed product information including URLs, titles, descriptions, and more.
- **Customizable Item Limits**: Allows setting a maximum number of items to scrape per run for tailored data collection.
- **High-Quality Output**: Ensures reliable and accurate data extraction with structured JSON output.
- **User-Friendly Configuration**: Simple setup with intuitive input parameters for easy customization.
- **Versatile Applications**: Supports diverse use cases from market research to business automation.

#### Input Parameters

| Parameter    | Type   | Required | Description                                                                                   | Example |
|--------------|--------|----------|-----------------------------------------------------------------------------------------------|---------|
| item\_limit   | integer| No       | Maximum items to scrape per actor run. Set to 0 for no limit.                                | `10`    |

#### Example Usage

##### Input JSON

```json
{
  "item_limit": 5
}
```

##### Output JSON

```json
[
  {
    "url": "https://www.autodesk.com/products/fusion-360/overview",
    "title": "Autodesk Fusion | 3D CAD, CAM, CAE, & PCB Cloud-Based Software | Autodesk",
    "description": "Explore Fusion for PDM and PLM...",
    "published_date": "2021-01-08",
    "last_updated_date": "2026-07-21",
    "product_line": [
      "Fusion", "Fusion Design Extension", ...
    ],
    "category": ["Product information"],
    "content_type": ["Product overviews"],
    "language": "ENU",
    "media_type": "Text Only",
    "is_best_bet": true,
    "input_source_key": "start_url:https://beehive.autodesk.com/community/service/rest/uh/v1/search?q=fusion&l=en-US&max=10&start=0",
    "actor_id": "dmIrb5fk4OHSfE4jM",
    "run_id": "fyfqfzuctqYTvjy8h"
  },
  ...
]
```

#### Use Cases

- **Market Research and Analysis**: Gather data on Autodesk products for strategic insights.
- **Competitive Intelligence**: Monitor competitor offerings and pricing strategies.
- **Price Monitoring**: Track changes in product prices over time.
- **Content Aggregation**: Compile comprehensive datasets of product information.
- **Academic Research**: Support studies related to CAD software and technology trends.
- **Business Automation**: Integrate with workflows for automated data collection.

#### Installation and Usage

1. Search for "Autodesk Search Results 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 is a JSON array containing objects with fields such as `url`, `title`, `description`, `published_date`, `last_updated_date`, `product_line`, `category`, `content_type`, `language`, `media_type`, `is_best_bet`, `input_source_key`, `actor_id`, and `run_id`. Each field provides specific details about the extracted search results.

#### 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

## `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
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped data items from dataset

# 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/autodesk-search-results-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/autodesk-search-results-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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/autodesk-search-results-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/autodesk-search-results-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/dmIrb5fk4OHSfE4jM/builds/kcbla5XyXbcAK0sRD/openapi.json