# outbid.lol Marketing Bids: Competitor Spend Tracker

**Use case:** 

Track competitor spend in the outbid.lol marketing and advertising category. You get every listing with its bid, click count, cost per click, and overtake price, which shows how much rival marketing tools pay for rank and whether that spend earns traffic. Run it on a schedule to watch bids move over time, or switch the category to follow another market.

## Input

```json
{
  "mode": "board",
  "categories": [
    "marketing-advertising"
  ],
  "products": [
    "outrank.so"
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "displayName": {
    "label": "Listing",
    "format": "string"
  },
  "categorySlug": {
    "label": "Category",
    "format": "string"
  },
  "bidUsd": {
    "label": "Bid ($)",
    "format": "number"
  },
  "claimPriceUsd": {
    "label": "Claim for ($)",
    "format": "number"
  },
  "clickCount": {
    "label": "Clicks",
    "format": "number"
  },
  "costPerClickUsd": {
    "label": "$/Click",
    "format": "number"
  },
  "clicksPerDollar": {
    "label": "Clicks/$",
    "format": "number"
  },
  "listingUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [outbid.lol Scraper: Bids, Clicks & Rank Changes](https://apify.com/getascraper/outbid-lol-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/outbid-lol-scraper.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/getascraper/outbid-lol-scraper.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`).