# Track a competitor's pricing page history

**Use case:** 

Pulls every archived capture of a competitor's pricing page from the Internet Archive, so you can see exactly when the price changed and open the snapshot it changed in. Returns one row per capture with the date, HTTP status, content digest and a direct link to view it.

## Input

```json
{
  "urls": [
    "stripe.com/pricing"
  ],
  "matchType": "exact",
  "collapseDuplicates": false,
  "maxSnapshotsPerUrl": 2000,
  "maxItems": 50000
}
```

## Output

```json
{
  "capturedAt": {
    "label": "Captured At",
    "format": "string"
  },
  "statusCode": {
    "label": "Status Code",
    "format": "integer"
  },
  "mimeType": {
    "label": "Mime Type",
    "format": "string"
  },
  "length": {
    "label": "Length (bytes)",
    "format": "integer"
  },
  "digest": {
    "label": "Content Digest",
    "format": "string"
  },
  "original": {
    "label": "Original",
    "format": "string"
  },
  "snapshotUrl": {
    "label": "Snapshot Url",
    "format": "string"
  }
}
```

## How it works

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

The Wayback Machine Scraper — Website History & Snapshots Actor is ready to run with the inputs already set for "Track a competitor's pricing page history". [Sign up or log in](https://console.apify.com/create-task-from-example/mR0xYifXFS3EEah3B) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track a competitor's pricing page history" task

The Wayback Machine Scraper — Website History & Snapshots Actor will start running based on the input automatically. You can also change all the input fields, like URLs, match type, and more, to match your specific use case.

### 3. Receive the "Track a competitor's pricing page history" 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 captured at, status code, mime type, 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 "Track a competitor's pricing page history" task via API](https://apify.com/alaudinburki/wayback-machine-snapshots.md).

## About this Actor

This example demonstrates how to use [Wayback Machine Scraper — Website History & Snapshots](https://apify.com/alaudinburki/wayback-machine-snapshots.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/alaudinburki/wayback-machine-snapshots.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/alaudinburki/wayback-machine-snapshots.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`).