# Outbid Leaderboard Scraper (`scraper_guru/outbid-leaderboard-scraper`) Actor

Scrape Outbid leaderboard rankings, bids, clicks, project descriptions, claim prices, and cost-per-click metrics for market and advertising research.

- **URL**: https://apify.com/scraper\_guru/outbid-leaderboard-scraper.md
- **Developed by:** [LIAICHI MUSTAPHA](https://apify.com/scraper_guru) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/actors/running/actors-in-store.md#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

<p align="center">
  <img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/FLeKbYIKjUnkcAaFx-actor-bBQgLhXiogFxQRh4H-oFw8gsjvbu-outbid-leaderboard-scraper-logo.png" alt="Outbid Leaderboard Scraper logo" width="180">
</p>

<p align="center"><strong>Turn a fast-moving pay-to-rank leaderboard into structured market and advertising data.</strong></p>

Extract ranked projects from [outbid.lol](https://outbid.lol/) with their bid amounts, clicks, descriptions, destination URLs, listing times, and claim prices. The Actor also calculates cost per click so you can compare visibility and advertising efficiency without manually copying the leaderboard.

### Features

- Extracts rank, project name, description, destination URL, bid, clicks, and listing time
- Calculates the observed cost per click for every listing with clicks
- Captures the price required to claim each visible rank
- Removes Outbid's `utm_source` parameter while preserving the original tracked URL separately
- Scans up to 1,000 ranks using Outbid's server-rendered pagination
- Filters by keywords, rank range, bid range, and minimum clicks
- Sorts results by rank, bid, clicks, or lowest cost per click
- Stores online users, visitors since launch, top bid, extraction counts, and warnings in run statistics
- Uses lightweight HTTP requests instead of a browser for faster, lower-cost runs

### Use Cases

- **Advertising research:** compare bid amounts against recorded clicks and estimate placement efficiency
- **Competitive intelligence:** monitor which products hold the highest positions and how the leaderboard changes
- **Product discovery:** build a structured directory of products receiving attention on Outbid
- **Market analysis:** analyze bid distribution, category language, landing-page domains, and leaderboard concentration
- **Lead generation:** discover actively promoted startups, agencies, tools, and independent creators
- **Monitoring:** schedule snapshots and compare ranks, bids, or clicks in your own database

### Input

The Store-ready prefill scans the first 25 ranks and saves at most 25 records, keeping automated tests fast.

```json
{
  "keywords": ["AI", "SEO"],
  "maxRank": 100,
  "minBidUsd": 10,
  "maxBidUsd": 0,
  "minClicks": 25,
  "sortBy": "cost-per-click",
  "maxItems": 100
}
```

| Field | Type | Default | Description |
|---|---:|---:|---|
| `keywords` | string\[] | `[]` | Match project names, descriptions, or destination URLs |
| `maxRank` | integer | `50` | Scan from rank 1 through this rank |
| `minBidUsd` | number | `0` | Minimum accepted bid in USD |
| `maxBidUsd` | number | `0` | Maximum accepted bid; `0` disables the ceiling |
| `minClicks` | integer | `0` | Minimum recorded click count |
| `sortBy` | string | `rank` | `rank`, `bid`, `clicks`, or `cost-per-click` |
| `maxItems` | integer | `50` | Maximum records saved to the dataset |
| `proxyConfiguration` | object | direct | Optional Apify Proxy settings |
| `failOnEmpty` | boolean | `false` | Fail the run when no listing matches |

### Output

Each dataset item follows a stable normalized structure:

```json
{
  "rank": 1,
  "project_name": "Example AI",
  "description": "Automate useful work with AI.",
  "identity_type": "website",
  "destination_url": "https://example.com/",
  "tracked_url": "https://example.com/?utm_source=outbid",
  "image_url": "https://example.com/logo.png",
  "bid_usd": 14013,
  "claim_price_usd": 14018,
  "clicks": 781,
  "cost_per_click_usd": 17.9424,
  "listed_at": "2026-08-21T19:52:11.016Z",
  "listed_ago": "28 minutes ago",
  "leaderboard_page": 1,
  "source": "outbid.lol",
  "scraped_at": "2026-08-21T20:00:00.000Z"
}
```

The default dataset includes two views:

- **Leaderboard overview:** rank, project, bid, clicks, description, listing time, and website
- **Advertising performance:** bid, clicks, observed cost per click, and rank claim price

`cost_per_click_usd` is calculated as `bid_usd / clicks`. It is `null` when the listing has no recorded clicks. This is an observed ratio, not a guarantee that every click was generated after the current bid.

### How to Use

1. Open the Actor input page.
2. Choose how deep into the leaderboard to scan with **Maximum leaderboard rank**.
3. Add optional keyword, bid, and click filters.
4. Select the output sort order.
5. Run the Actor and open the **Leaderboard listings** or **Performance view** output.
6. Export the dataset as JSON, CSV, Excel, XML, or RSS, or connect it to an integration.

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("YOUR_USERNAME/outbid-leaderboard-scraper").call(run_input={
    "maxRank": 100,
    "minClicks": 50,
    "sortBy": "cost-per-click",
    "maxItems": 100,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rank"], item["project_name"], item["cost_per_click_usd"])
```

#### JavaScript

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('YOUR_USERNAME/outbid-leaderboard-scraper').call({
    maxRank: 100,
    minClicks: 50,
    sortBy: 'cost-per-click',
    maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### Integrations

Use Apify integrations to send leaderboard snapshots to Google Sheets, Slack, webhooks, Make, Zapier, n8n, Airtable, or a data warehouse. For rank-change alerts, schedule the Actor and compare `rank`, `bid_usd`, and `clicks` using `destination_url` as the stable project key.

### Pricing

The Actor is configured for pay-per-result billing at **$5 per 1,000 saved listings**. Input filters are applied before records are saved, so you pay only for matching dataset items. The pricing shown in Apify Console is authoritative.

### Limitations

- Outbid is a rapidly evolving website, so available fields and pagination can change.
- Click counts are figures published by Outbid; this Actor does not independently verify traffic quality.
- Cost per click is a simple observed ratio based on the current bid and click count, not an attribution model.
- Project categories are not currently published as structured fields by the source.
- The Actor reads public leaderboard pages only. It does not place bids, open tracked destination links, or interact with checkout.

### FAQ

#### Does this Actor place bids or make payments?

No. It only reads public leaderboard pages. It never submits forms, opens checkout, or sends payment information.

#### Can I scrape more than the first 50 listings?

Yes. Increase `maxRank`. Outbid currently exposes 50 ranked listings per page, and the Actor handles pagination automatically.

#### How can I monitor rank changes?

Schedule recurring runs and compare snapshots using `destination_url` as the project key. Store previous datasets externally if you need a long-term history.

#### Why is cost per click sometimes `null`?

The source reports zero clicks for that listing. Dividing by zero would be misleading, so the Actor returns `null`.

#### Why can the calculated cost per click differ from an advertiser's actual acquisition cost?

The field divides the published bid by published clicks. It does not account for bid changes, click timing, conversions, refunds, or traffic quality.

#### Is this Actor affiliated with outbid.lol?

No. This is an independent data-extraction tool for public information.

### Responsible Use

Use the Actor in accordance with applicable laws and the source website's terms. Keep run frequency reasonable, respect the public site, and do not use extracted project data for spam, harassment, or deceptive outreach.

# Actor input Schema

## `keywords` (type: `array`):

Keep listings whose project name, description, or destination URL contains at least one keyword.

## `maxRank` (type: `integer`):

Scan listings from rank 1 through this rank. Outbid currently exposes 50 listings per page.

## `minBidUsd` (type: `number`):

Keep listings with a bid at or above this USD amount.

## `maxBidUsd` (type: `number`):

Keep listings at or below this USD amount. Use 0 for no maximum.

## `minClicks` (type: `integer`):

Keep listings with at least this many recorded clicks.

## `sortBy` (type: `string`):

Choose the order used in the output dataset.

## `maxItems` (type: `integer`):

Maximum number of matching listings saved to the dataset.

## `proxyConfiguration` (type: `object`):

Optional proxy settings. Direct requests are used by default.

## `failOnEmpty` (type: `boolean`):

Stop with an error when no records match. Useful for scheduled monitoring runs.

## Actor input object example

```json
{
  "keywords": [],
  "maxRank": 25,
  "minBidUsd": 0,
  "maxBidUsd": 0,
  "minClicks": 0,
  "sortBy": "rank",
  "maxItems": 25,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "failOnEmpty": false
}
```

# Actor output Schema

## `listings` (type: `string`):

The dataset containing normalized Outbid projects, bids, clicks, and performance metrics.

## `performance` (type: `string`):

A dataset view focused on bid efficiency and cost per click.

## `runStats` (type: `string`):

Extraction counts, source snapshot, active filters, and warnings.

# 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 = {
    "maxRank": 25,
    "maxItems": 25,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraper_guru/outbid-leaderboard-scraper").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 = {
    "maxRank": 25,
    "maxItems": 25,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("scraper_guru/outbid-leaderboard-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxRank": 25,
  "maxItems": 25,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scraper_guru/outbid-leaderboard-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraper_guru/outbid-leaderboard-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bBQgLhXiogFxQRh4H/builds/LNd4frNQofdjPIqEz/openapi.json