# Skinport Sales History Scraper (`apt_marble/skinport-sales-history-scraper`) Actor

Skinport sold-price history for CS2, Dota 2, Rust and TF2 items over 24 hours, 7, 30 and 90 days.

- **URL**: https://apify.com/apt_marble/skinport-sales-history-scraper.md
- **Developed by:** [Hamza](https://apify.com/apt_marble) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Skinport Sales History Scraper

Check what skins really sold for on Skinport. For every item you list you get the minimum, maximum, average and median sold price and the number sold in the last 24 hours, 7, 30 and 90 days.

### What you get

One row per item with sold-price statistics for four time windows.

### Input

- **Item names** - Exact Skinport item names, including wear.
- **Game** - Counter-Strike 2, Dota 2, Rust or Team Fortress 2.
- **Currency** - Price currency.
- **Maximum results** - Upper limit on rows.

Example input:

```json
{
  "itemNames": [
    "AK-47 | Redline (Field-Tested)",
    "AWP | Asiimov (Field-Tested)"
  ],
  "currency": "EUR"
}
```

### Output

Each result is one row in the dataset. You can download it as JSON, CSV, Excel or HTML, or read it through the Apify API.

- `marketHashName, version, currency` - Item
- `last24h / last7d / last30d / last90d + Min, Max, Avg, Median, Volume` - Sold price spread and number sold for each period
- `itemUrl, marketUrl` - Skinport links

Example result:

```json
{
  "marketHashName": "AK-47 | Redline (Field-Tested)",
  "currency": "EUR",
  "last24hAvg": 24.8,
  "last7dAvg": 27.96,
  "last7dVolume": 91,
  "last30dMedian": 24.35,
  "last90dVolume": 956
}
```

### Good to know

- Runs are fast and need no cookies, logins or proxies from you.
- A search with no matches, or an input that is not valid, does not fail the run. It finishes as Succeeded with a short message and an example input.
- You pay per result row. Set **Maximum results** to control cost.
- Item names must match Skinport exactly, including the wear in brackets.

# Actor input Schema

## `itemNames` (type: `array`):

Exact item names, one per line, including the wear, for example AK-47 | Redline (Field-Tested).

## `game` (type: `string`):

Which game the items belong to.

## `currency` (type: `string`):

Currency for all prices.

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

Stop after this many results. Lower numbers finish faster and cost less.

## Actor input object example

```json
{
  "itemNames": [
    "AK-47 | Redline (Field-Tested)",
    "AWP | Asiimov (Field-Tested)"
  ],
  "game": "730",
  "currency": "EUR",
  "maxItems": 50
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "itemNames": [
        "AK-47 | Redline (Field-Tested)",
        "AWP | Asiimov (Field-Tested)"
    ],
    "game": "730",
    "currency": "EUR",
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("apt_marble/skinport-sales-history-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 = {
    "itemNames": [
        "AK-47 | Redline (Field-Tested)",
        "AWP | Asiimov (Field-Tested)",
    ],
    "game": "730",
    "currency": "EUR",
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("apt_marble/skinport-sales-history-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 '{
  "itemNames": [
    "AK-47 | Redline (Field-Tested)",
    "AWP | Asiimov (Field-Tested)"
  ],
  "game": "730",
  "currency": "EUR",
  "maxItems": 50
}' |
apify call apt_marble/skinport-sales-history-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apt_marble/skinport-sales-history-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/yyY6NgqtN9qfq3MWo/builds/6AYnL1Otb7KGlvbk8/openapi.json