# Vinted Universal Scraper (`scrapifier/vinted-universal-scraper`) Actor

⚡ Scrape Vinted by filters or just by pasting a URL! Search any keyword; filter by brand, category, size, colour, condition, price & currency on any Vinted country. Enrich items with the seller's profile, beat the 960-per-search cap with deep scrape, export clean data with photos — CSV/JSON/Excel.

- **URL**: https://apify.com/scrapifier/vinted-universal-scraper.md
- **Developed by:** [Scrapifier](https://apify.com/scrapifier) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.02 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use 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

## 🕸️ Vinted Scraper

Extract Vinted listings by keyword, brand, category or URL — and export them as structured JSON, CSV or Excel. No code required.

[![Apify Actor](https://apify.com/actor-badge?actor=scrapifier/vinted-universal-scraper)](https://apify.com/scrapifier/vinted-universal-scraper)

### 📋 Contents

- [Overview](#-overview)
- [How to use](#-how-to-use)
- [Input](#-input)
- [Output](#-output)
- [Pricing](#-pricing)
- [Proxy and performance](#-proxy-and-performance)
- [Integrations](#-integrations)
- [Related Actors](#-related-actors)
- [FAQ](#-faq)
- [Support](#-support)

### 📖 Overview

Search Vinted the easy way — by filters or by URL — and collect every matching item. For each listing you get the title, price (plus total price with Buyer Protection), brand, size, condition, favourites, views, all photos, the seller, and a direct link.

- Works on **any Vinted country** (fr, com, de, it, es, co.uk, and 17 more).
- Search by keyword, brand, category, size, colour, condition, price and currency — or just paste a Vinted URL.
- Optionally enrich every item with the **seller's full profile** (feedback, location, sales, followers).
- Exports to JSON, CSV, Excel, or the Apify dataset API.
- Pay per result — no subscription.

### 🚀 How to use

1. Choose how to search: type one or more **keywords**, pick a **brand** by name, choose colour/condition, set a price range and country — **or** paste a Vinted search/brand/category URL into **Vinted URLs**.
2. Set **Max results** (how many items to collect), and turn on **Deep scrape** to go beyond a single search's limit.
3. Start the run.
4. Download your data from the **Storage** tab, or fetch it from the API.

> 💡 Easiest of all: filter however you like on Vinted, copy the address bar, and paste that URL — every filter is kept.

### 📥 Input

| Field | Key | Type | Default | Description |
|---|---|---|---|---|
| Vinted URLs | `urls` | array of strings | — | Catalog/search, brand or category URLs. Empty = use the filters below. |
| Keywords | `search_text` | array of strings | `["nike"]` | One or more keywords — each searched separately (one per line). |
| Vinted country | `country` | select | `fr` | Which marketplace (sets domain + default currency). |
| Brands | `brands` | array of strings | — | Brand names (e.g. Nike, Zara) — matched automatically. |
| Condition | `conditions` | select (multi) | — | New with tags / New without tags / Very good / Good / Satisfactory / Not fully functional. |
| Colour | `colors` | select (multi) | — | 29 colours. Empty = any. |
| Min / Max price | `price_from` / `price_to` | integer | — | Price range, in the country's currency. |
| Sort by | `order` | select | `newest_first` | Newest · Relevance · Price low→high · Price high→low. |
| Swap-only items | `only_swappable` | boolean | `false` | Only items open to swapping. |
| Max results | `max_results` | integer | `100` | Items to collect per keyword / per URL. `0` = as many as possible. |
| Deep scrape | `deep_scrape` | boolean | `false` | Collect far more than a single search's ~960-item limit. |
| Include seller details | `include_seller_details` | boolean | `false` | Add each seller's feedback, location, items, followers. |
| Flat columns | `flatten` | boolean | `false` | Add flat `seller_login` / `seller_id` / `photo_url` columns for CSV/Excel. |
| Category / Brand / Size / Material IDs | `catalog_ids` / `brand_ids` / `sizes` / `material_ids` | array of strings | — | Advanced numeric IDs (easiest via a pasted URL). |
| Proxy configuration | `proxyConfiguration` | object | Apify Proxy | Proxy settings (recommended for large runs). |

<details>
<summary>Example input</summary>

```json
{
  "search_text": ["nike"],
  "country": "fr",
  "brands": ["Nike"],
  "conditions": ["6"],
  "price_from": 10,
  "price_to": 60,
  "order": "newest_first",
  "max_results": 200,
  "include_seller_details": true
}
````

</details>

### 📤 Output

Each item is stored as one dataset item. Export it as JSON, CSV or Excel, or read it from the API.

| Field | Description |
|---|---|
| `id` | Vinted item ID |
| `url` | Direct link to the item |
| `title` | Listing title |
| `price` | Item price (seller's asking price) |
| `currency` | Currency code |
| `total_price` | Total price incl. Buyer Protection |
| `service_fee` | Buyer Protection fee |
| `brand` | Brand name |
| `size` | Size label |
| `condition` | Item condition |
| `is_new_with_tags` | Whether the item is brand new with tags |
| `favourites` | Number of favourites (likes) |
| `views` | View count |
| `is_for_swap` | Whether the seller is open to swap |
| `photo` / `photos[]` | Main photo + all photo URLs (full size) |
| `dominant_color` | Main photo dominant colour |
| `seller{}` | `login`, `profile_url`, `is_business` (+ feedback, city, country, items, followers with **Include seller details**) |
| `scraped_at` | Extraction timestamp |
| `search_url` | The search this item came from |

<details>
<summary>Example output</summary>

```json
{
  "id": 9453626155,
  "url": "https://www.vinted.fr/items/9453626155-nike-w-ld1000",
  "title": "Nike W LD_1000",
  "price": 45.0,
  "currency": "EUR",
  "total_price": 46.85,
  "service_fee": 1.85,
  "brand": "Nike",
  "size": "39",
  "condition": "New with tags",
  "is_new_with_tags": true,
  "favourites": 3,
  "views": 41,
  "is_for_swap": false,
  "photo": "https://images1.vinted.net/.../f800/....jpeg",
  "photos": ["https://images1.vinted.net/...", "..."],
  "dominant_color": "#1467B7",
  "seller": {
    "login": "jornas59",
    "profile_url": "https://www.vinted.fr/member/26154389-jornas59",
    "is_business": false,
    "city": "Napoli",
    "country": "Italia",
    "feedback_count": 23,
    "feedback_reputation": 1.0,
    "item_count": 60,
    "followers_count": 12
  },
  "scraped_at": "2026-07-21 14:58:00"
}
```

</details>

### 💰 Pricing

From **$1.50 per 1,000 items**, with automatic volume discounts down to **$1.02** at higher tiers. No subscription — you pay only for the results you extract. New Apify users can try the Actor with their free monthly platform credits.

### 🛡️ Proxy and performance

- A proxy is recommended for large or frequent runs — Apify Residential works best and lets you pick the country.
- Each search returns up to ~960 items; turn on **Deep scrape** to collect far more from the same query.
- Start with a small **Max results** to validate your filters, then increase it.
- Give one or more **keywords** (bulk, one per line) to cover several searches in a single run.

### 🔌 Integrations

Run the Actor from the [Apify API](https://docs.apify.com/api/v2), the [JavaScript](https://docs.apify.com/sdk/js) or [Python](https://docs.apify.com/sdk/python) clients, or connect it to Make, Zapier, n8n, Google Sheets and Slack through Apify integrations. Each run's data is available as JSON or CSV via the dataset API.

### 🔗 Related Actors

- [Leboncoin Universal Scraper](https://apify.com/scrapifier/leboncoin-universal-scraper) — listings from Leboncoin.fr.
- [SeLoger Universal Scraper](https://apify.com/scrapifier/seloger-universal-scraper) — French real-estate listings.

Need another marketplace? Open an issue.

### ❓ FAQ

**How do I search a specific country?**

Set **Vinted country** (e.g. `com` for international/USD, `de` for Germany). Pasted URLs keep their own domain.

**Can I collect a whole category?**

Yes. Leave the keywords empty, paste a category URL (or pick filters), and turn on **Deep scrape** for large pulls.

**How fresh is the data?**

It is collected live at runtime.

### 💬 Support

Questions or issues? Post them in the **Issues** tab and I will respond quickly. If the Actor is useful to you, a review is appreciated.

# Actor input Schema

## `urls` (type: `array`):

Paste one or more Vinted URLs — a catalog/search URL (all its filters are kept), a brand URL (e.g. /brand/53-nike) or a category URL (e.g. /catalog/1904-women). Leave empty to build a search with the filters below instead.

## `search_text` (type: `array`):

One or more keywords — each is searched separately (bulk), one keyword per line (e.g. "nike air", "robe zara", "vintage jacket"). Do NOT put several keywords on one line. Empty = the whole category.

## `country` (type: `string`):

Which Vinted marketplace to search. Sets the domain and default currency.

## `brands` (type: `array`):

Filter by brand name (e.g. Nike, Zara, Levi's) — resolved automatically to Vinted brand IDs. For exact control, use 'Brand IDs' below.

## `conditions` (type: `array`):

Item condition. Empty = any.

## `colors` (type: `array`):

One or more colours. Empty = any.

## `price_from` (type: `integer`):

Lowest price to include (in the selected country's currency).

## `price_to` (type: `integer`):

Highest price to include.

## `order` (type: `string`):

Result ordering.

## `only_swappable` (type: `boolean`):

Only items the seller is open to swapping.

## `catalog_ids` (type: `array`):

Vinted category IDs (e.g. 1904 = Women, 5 = Men). Easiest to get by pasting a category URL above. Empty = all categories.

## `brand_ids` (type: `array`):

Exact Vinted brand IDs (e.g. 53 = Nike, 2703 = Jordan). Combined with 'Brands' above.

## `sizes` (type: `array`):

Vinted size IDs (size IDs depend on the category — get them from a filtered catalog URL).

## `material_ids` (type: `array`):

Vinted material IDs (e.g. cotton, leather) — get them from a filtered catalog URL.

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

ISO currency code (e.g. EUR, GBP). Defaults to the selected country's currency.

## `max_results` (type: `integer`):

How many items to collect per keyword / per URL (0 = as many as possible). A single search reaches up to 960; turn on 'Deep scrape' to go further.

## `deep_scrape` (type: `boolean`):

A single search returns at most ~960 items. Turn this on to collect far more from the same query.

## `include_seller_details` (type: `boolean`):

Add each seller's profile to every item: feedback score & count, city, country, number of items, followers, last seen. (Slightly slower.)

## `flatten` (type: `boolean`):

Add flat seller\_login / seller\_id / photo\_url columns for CSV/Excel exports.

## `emit_input_status` (type: `boolean`):

Add an input\_status report to the run's OUTPUT record.

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

Recommended for large runs — a proxy (Apify Residential works best) keeps big jobs reliable and lets you pick the country.

## Actor input object example

```json
{
  "search_text": [
    "nike"
  ],
  "country": "fr",
  "order": "newest_first",
  "only_swappable": false,
  "max_results": 100,
  "deep_scrape": false,
  "include_seller_details": false,
  "flatten": false,
  "emit_input_status": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `items` (type: `string`):

All Vinted items extracted by this run.

# 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 = {
    "search_text": [
        "nike"
    ],
    "max_results": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapifier/vinted-universal-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 = {
    "search_text": ["nike"],
    "max_results": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapifier/vinted-universal-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "search_text": [
    "nike"
  ],
  "max_results": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapifier/vinted-universal-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapifier/vinted-universal-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Vinted Universal Scraper",
        "description": "⚡ Scrape Vinted by filters or just by pasting a URL! Search any keyword; filter by brand, category, size, colour, condition, price & currency on any Vinted country. Enrich items with the seller's profile, beat the 960-per-search cap with deep scrape, export clean data with photos — CSV/JSON/Excel.",
        "version": "0.1",
        "x-build-id": "d0qL9gimyxO0Uaea8"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapifier~vinted-universal-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapifier-vinted-universal-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapifier~vinted-universal-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapifier-vinted-universal-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapifier~vinted-universal-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapifier-vinted-universal-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "urls": {
                        "title": "Vinted URLs",
                        "type": "array",
                        "description": "Paste one or more Vinted URLs — a catalog/search URL (all its filters are kept), a brand URL (e.g. /brand/53-nike) or a category URL (e.g. /catalog/1904-women). Leave empty to build a search with the filters below instead.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "search_text": {
                        "title": "Keywords",
                        "type": "array",
                        "description": "One or more keywords — each is searched separately (bulk), one keyword per line (e.g. \"nike air\", \"robe zara\", \"vintage jacket\"). Do NOT put several keywords on one line. Empty = the whole category.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "country": {
                        "title": "Vinted country",
                        "enum": [
                            "fr",
                            "com",
                            "de",
                            "it",
                            "es",
                            "co.uk",
                            "be",
                            "nl",
                            "lu",
                            "at",
                            "pt",
                            "pl",
                            "cz",
                            "sk",
                            "lt",
                            "ro",
                            "hu",
                            "se",
                            "fi",
                            "dk",
                            "hr",
                            "gr",
                            "ie"
                        ],
                        "type": "string",
                        "description": "Which Vinted marketplace to search. Sets the domain and default currency.",
                        "default": "fr"
                    },
                    "brands": {
                        "title": "Brands (by name)",
                        "type": "array",
                        "description": "Filter by brand name (e.g. Nike, Zara, Levi's) — resolved automatically to Vinted brand IDs. For exact control, use 'Brand IDs' below.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "conditions": {
                        "title": "Condition",
                        "type": "array",
                        "description": "Item condition. Empty = any.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "6",
                                "1",
                                "2",
                                "3",
                                "4",
                                "7"
                            ],
                            "enumTitles": [
                                "New with tags",
                                "New without tags",
                                "Very good",
                                "Good",
                                "Satisfactory",
                                "Not fully functional"
                            ]
                        }
                    },
                    "colors": {
                        "title": "Colour",
                        "type": "array",
                        "description": "One or more colours. Empty = any.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "1",
                                "3",
                                "12",
                                "20",
                                "4",
                                "21",
                                "11",
                                "22",
                                "7",
                                "23",
                                "5",
                                "24",
                                "6",
                                "25",
                                "26",
                                "9",
                                "27",
                                "17",
                                "30",
                                "10",
                                "28",
                                "16",
                                "2",
                                "29",
                                "8",
                                "13",
                                "14",
                                "15",
                                "32"
                            ],
                            "enumTitles": [
                                "Black",
                                "Grey",
                                "White",
                                "Cream",
                                "Beige",
                                "Apricot",
                                "Orange",
                                "Coral",
                                "Red",
                                "Burgundy",
                                "Fuchsia",
                                "Pink",
                                "Purple",
                                "Lilac",
                                "Light blue",
                                "Blue",
                                "Navy",
                                "Turquoise",
                                "Mint",
                                "Green",
                                "Dark green",
                                "Khaki",
                                "Brown",
                                "Mustard",
                                "Yellow",
                                "Silver",
                                "Gold",
                                "Multicolour",
                                "Transparent"
                            ]
                        }
                    },
                    "price_from": {
                        "title": "Min price",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Lowest price to include (in the selected country's currency)."
                    },
                    "price_to": {
                        "title": "Max price",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Highest price to include."
                    },
                    "order": {
                        "title": "Sort by",
                        "enum": [
                            "newest_first",
                            "relevance",
                            "price_low_to_high",
                            "price_high_to_low"
                        ],
                        "type": "string",
                        "description": "Result ordering.",
                        "default": "newest_first"
                    },
                    "only_swappable": {
                        "title": "Swap-only items",
                        "type": "boolean",
                        "description": "Only items the seller is open to swapping.",
                        "default": false
                    },
                    "catalog_ids": {
                        "title": "Category IDs (advanced)",
                        "type": "array",
                        "description": "Vinted category IDs (e.g. 1904 = Women, 5 = Men). Easiest to get by pasting a category URL above. Empty = all categories.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "brand_ids": {
                        "title": "Brand IDs (advanced)",
                        "type": "array",
                        "description": "Exact Vinted brand IDs (e.g. 53 = Nike, 2703 = Jordan). Combined with 'Brands' above.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sizes": {
                        "title": "Size IDs (advanced)",
                        "type": "array",
                        "description": "Vinted size IDs (size IDs depend on the category — get them from a filtered catalog URL).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "material_ids": {
                        "title": "Material IDs (advanced)",
                        "type": "array",
                        "description": "Vinted material IDs (e.g. cotton, leather) — get them from a filtered catalog URL.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "currency": {
                        "title": "Currency override (advanced)",
                        "type": "string",
                        "description": "ISO currency code (e.g. EUR, GBP). Defaults to the selected country's currency."
                    },
                    "max_results": {
                        "title": "Max results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "How many items to collect per keyword / per URL (0 = as many as possible). A single search reaches up to 960; turn on 'Deep scrape' to go further.",
                        "default": 100
                    },
                    "deep_scrape": {
                        "title": "Deep scrape (beyond 960)",
                        "type": "boolean",
                        "description": "A single search returns at most ~960 items. Turn this on to collect far more from the same query.",
                        "default": false
                    },
                    "include_seller_details": {
                        "title": "Include seller details (slower)",
                        "type": "boolean",
                        "description": "Add each seller's profile to every item: feedback score & count, city, country, number of items, followers, last seen. (Slightly slower.)",
                        "default": false
                    },
                    "flatten": {
                        "title": "Flat columns (CSV-friendly)",
                        "type": "boolean",
                        "description": "Add flat seller_login / seller_id / photo_url columns for CSV/Excel exports.",
                        "default": false
                    },
                    "emit_input_status": {
                        "title": "Report empty searches",
                        "type": "boolean",
                        "description": "Add an input_status report to the run's OUTPUT record.",
                        "default": true
                    },
                    "proxyConfiguration": {
                        "title": "Proxy",
                        "type": "object",
                        "description": "Recommended for large runs — a proxy (Apify Residential works best) keeps big jobs reliable and lets you pick the country.",
                        "default": {
                            "useApifyProxy": true
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```