# Compare Website Technologies with a Saved Baseline

**Use case:** 

Recheck two public example websites against technology-name evidence collected on 6 November 2026. Replace both URLs and previousResults with your own matched baseline to review changes. The saved baseline does not advance automatically.

## Input

```json
{
  "urls": [
    "https://www.wordpress.org/",
    "https://www.shopify.com/"
  ],
  "previousResults": [
    {
      "key": "https://www.wordpress.org/",
      "technologyNames": [
        "Nginx",
        "WordPress"
      ]
    },
    {
      "key": "https://www.shopify.com/",
      "technologyNames": [
        "Cloudflare",
        "Shopify"
      ]
    }
  ],
  "maxResults": 10
}
```

## Output

```json
{
  "url": {
    "label": "url",
    "format": "link"
  },
  "title": {
    "label": "title",
    "format": "text"
  },
  "technologyNames": {
    "label": "technologyNames",
    "format": "text"
  },
  "technologyCount": {
    "label": "technologyCount",
    "format": "text"
  },
  "comparison": {
    "label": "comparison",
    "format": "text"
  },
  "checkedAt": {
    "label": "checkedAt",
    "format": "text"
  }
}
```

## How it works

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

The Website Tech Stack Detector with Evidence Actor is ready to run with the inputs already set for "Compare Website Technologies with a Saved Baseline". [Sign up or log in](https://console.apify.com/create-task-from-example/XXzuaqKer5gSjVU4S) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare Website Technologies with a Saved Baseline" task

The Website Tech Stack Detector with Evidence Actor will start running based on the input automatically. You can also change all the input fields, like website urls, previous results (optional), and more, to match your specific use case.

### 3. Receive the "Compare Website Technologies with a Saved Baseline" 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 url, title, technologynames, 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 "Compare Website Technologies with a Saved Baseline" task via API](https://apify.com/kirozhang/website-tech-stack-evidence.md).

## FAQ

### Where did the sample baseline come from?

The comparison task uses technology names from actual checks of wordpress.org and shopify.com on 6 November 2026. It is a dated reference, not a live or universal baseline.

### Does the task remember the previous scheduled run?

The comparison task uses the explicit previousResults input. To compare against the preceding run, your workflow must pass that run’s rows into the next input.

### What is compared?

The comparison task matches each result key and compares technologyNames. It does not claim to detect every software change or execute client-side JavaScript.

## About this Actor

This example demonstrates how to use [Website Tech Stack Detector with Evidence](https://apify.com/kirozhang/website-tech-stack-evidence.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kirozhang/website-tech-stack-evidence.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/kirozhang/website-tech-stack-evidence.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`).