# Builtwith Discovery Results Export

**Use case:** 

Export BuiltWith discovery results from BuiltWith trends pages. Enter a search keyword and get one record per entry: name, detail link, description, categories, category links, icon, live sites, live and expired sites and expired sites. Use it for technology market research and lead lists. Download JSON, CSV or Excel, or schedule it. Run it once or on a schedule. No coding needed.

## Input

```json
{
  "SearchKey": "Platform",
  "item_limit": 3
}
```

## Output

```json
{
  "name": {
    "label": "Name",
    "format": "string"
  },
  "detail_url": {
    "label": "Detail url",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "categories": {
    "label": "Categories",
    "format": "array"
  },
  "total_live": {
    "label": "Total live",
    "format": "integer"
  },
  "live_and_expired": {
    "label": "Live and expired",
    "format": "integer"
  },
  "expired": {
    "label": "Expired",
    "format": "integer"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Builtwith Discovery Extractor Actor is ready to run with the inputs already set for "Builtwith Discovery Results Export". [Sign up or log in](https://console.apify.com/create-task-from-example/TNNabQMUcw92I6CL1) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Builtwith Discovery Results Export" task

The Builtwith Discovery Extractor Actor will start running based on the input automatically. You can also change all the input fields, like search key and item limit, to match your specific use case.

### 3. Receive the "Builtwith Discovery Results Export" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, detail url, description, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Builtwith Discovery Results Export" task via API](https://apify.com/getdataforme/builtwith-discovery-extractor.md).

## FAQ

### What data does this task return?

One record per entry: name, detail link, description, categories, category links, icon, live sites and live and expired sites. Other fields are included in the export.

### Which input fields can I change?

Change SearchKey to set what is scraped, and item_limit to cap how many entrys are collected.

### How many entrys can I collect?

Set item_limit to the number you need. This task is set to 3 to keep runs short; the Actor default is 10.

### Which formats can I export the results in?

The dataset can be downloaded as JSON, CSV, Excel, HTML, XML or RSS, or read through the Apify API.

### Do I need an account or a proxy?

No account or login details are needed in the input. The input has no proxy setting.

## About this Actor

This example demonstrates how to use [Builtwith Discovery Extractor](https://apify.com/getdataforme/builtwith-discovery-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getdataforme/builtwith-discovery-extractor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getdataforme/builtwith-discovery-extractor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).