# Allegro.pl Polish Marketplace Scraper (`parseforge/allegro-scraper`) Actor

Scrape product listings from Allegro.pl, Poland's largest e-commerce marketplace. Get titles, prices (PLN), sellers, ratings, review counts, shipping info, and images. Search by keyword with sorting by relevance, price, newest, or best selling.

- **URL**: https://apify.com/parseforge/allegro-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** E-commerce, Automation, Other
- **Stats:** 58 total users, 13 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.00 / 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.
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.md):

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

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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🛒 Allegro.pl Polish Marketplace Scraper

> 🚀 **Pull product listings from Allegro.pl in minutes.** Titles, prices, sellers, ratings, shipping. No login, no API key, no manual CSV wrangling.

> 🕒 **Last updated:** 2026-05-08 · **📊 12+ fields** per product · **🇵🇱 Allegro Poland** · **🚫 No auth** required


<table><tr>
<td style="border-left:4px solid #0F766E;padding:12px 16px;font-weight:600">Pull structured records from Allegro — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.</td>
</tr></table>

##### Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

````

parseforge/allegro-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/allegro-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: startUrl (string, default "https://allegro.pl/listing?string=laptop"), maxItems (integer, default 10), searchQuery (string), sortBy (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~allegro-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

````

Pull live product listings from Allegro.pl, Poland's largest e-commerce marketplace. The actor accepts any Allegro listing URL (you build it on allegro.pl with the filters you want) or a free-text search query, paginates through results, and returns one structured record per product ready for price monitoring, competitor research, market entry analysis, or marketplace seller intelligence.

Every run fetches data live so you get the current state of Allegro at run time, not a stale dump. Records include the product title, image, price, currency (PLN), seller name and rating, review count, free shipping flag, and a back-reference URL to the canonical Allegro page.

| 👥 Built for | 🎯 Primary use cases |
|---|---|
| Price intelligence teams | Track Allegro prices vs other channels |
| Marketplace sellers | Benchmark competitors in your category |
| Brand and trade marketing | Monitor MAP/MSRP compliance in Poland |
| Procurement | Source verified suppliers from Allegro |
| E-commerce analysts | Build Polish market dashboards |
| Researchers | Study CEE e-commerce trends |

---

### 📋 What the Allegro Scraper does

- 🛒 **Product listings.** Title, image, price, currency, and direct product URL.
- 👤 **Seller info.** Seller name and seller rating where Allegro exposes it.
- ⭐ **Ratings and reviews.** Per-product rating and review count.
- 🚚 **Shipping flags.** Free-shipping indicator.
- 🔍 **Search and URL inputs.** Pass a free-text query or paste an Allegro listing URL with your filters.
- 🔄 **Sort options.** Best-selling, price ascending or descending, newest, or default relevance.

The scraper accepts a search query OR a listing URL. When given a URL, it inherits all filters and sort settings already encoded in the URL. It walks the result pages, fetches each product card, and pushes structured records to the dataset.

> 💡 **Why it matters:** Allegro is the largest marketplace in Poland with over 14M active buyers, but its UI is paginated and lacks bulk export. A live, structured pull beats manual scraping for price monitoring, competitor benchmarking, and market entry research.

---

### 🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.

---

### ⚙️ Input

| Field | Type | Name | Description |
|---|---|---|---|
| startUrl | string | Start URL | Allegro listing or search page URL. Browse allegro.pl with your filters and paste the URL here. |
| searchQuery | string | Search Query | Free-text product keyword (e.g. laptop, `iPhone 15`, `Nike buty`). Overrides Start URL. |
| maxItems | integer | Max Items | Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000. |
| sortBy | enum | Sort By | qd (Best Selling), p (Price asc), pd (Price desc), n (Newest), or empty (Relevance). |

Example 1. Search for laptops, sorted by price ascending.

```json
{
  "searchQuery": "laptop",
  "sortBy": "p",
  "maxItems": 50
}
````

Example 2. Direct URL with category filters already applied.

```json
{
  "startUrl": "https://allegro.pl/kategoria/laptopy-491?bmatch=baseline-product-cl-eyesa2-engag-dict48-ele-1-3-0218&parameter%5B11323%5D=11323_2",
  "maxItems": 100
}
```

> ⚠️ **Good to Know:** when searchQuery is set, it overrides startUrl. Use startUrl when you need to apply complex Allegro filters that would not fit in a simple keyword search.

***

### 📊 Output

The dataset returns one structured record per product. Each record carries identifiers, title, image, price, currency, seller, rating, review count, shipping flag, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

#### 🧾 Schema

| Field | Type | Example |
|---|---|---|
| 🖼️ imageUrl | string (url) | `https://a.allegroimg.com/original/abc/laptop.jpg` |
| 📝 title | string | `Laptop Lenovo IdeaPad 5 14" Ryzen 7 16GB SSD 512GB` |
| 🔗 url | string (url) | `https://allegro.pl/oferta/laptop-lenovo-ideapad-5-14-...` |
| 💰 price | number | `2899.0` |
| 💱 currency | string | PLN |
| 👤 seller | string | MediaExpert |
| ⭐ sellerRating | number or null | `4.9` |
| 📊 rating | number or null | `4.8` |
| 💬 reviewCount | number or null | `127` |
| 🚚 freeShipping | boolean | true |
| 📦 available | boolean | true |
| 📅 scrapedAt | ISO datetime | `2026-05-08T12:00:00.000Z` |

#### 📦 Sample records

##### 1. Typical record (laptop with full detail)

```json
{
  "imageUrl": "https://a.allegroimg.com/original/abc/laptop.jpg",
  "title": "Laptop Lenovo IdeaPad 5 14\" Ryzen 7 16GB SSD 512GB",
  "url": "https://allegro.pl/oferta/laptop-lenovo-ideapad-5-14-ryzen-7-16gb-ssd-512gb-12345678",
  "price": 2899.0,
  "currency": "PLN",
  "seller": "MediaExpert",
  "sellerRating": 4.9,
  "rating": 4.8,
  "reviewCount": 127,
  "freeShipping": true,
  "available": true,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}
```

##### 2. Marketplace seller record (no rating)

```json
{
  "imageUrl": "https://a.allegroimg.com/original/def/shoes.jpg",
  "title": "Buty Nike Air Max 90 Białe Skórzane Rozm. 42",
  "url": "https://allegro.pl/oferta/buty-nike-air-max-90-bialej-skorzane-rozm-42-23456789",
  "price": 449.99,
  "currency": "PLN",
  "seller": "Sklep_Sportowy_PL",
  "sellerRating": 4.7,
  "rating": null,
  "reviewCount": null,
  "freeShipping": false,
  "available": true,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}
```

##### 3. Sparse record (out of stock)

```json
{
  "imageUrl": "https://a.allegroimg.com/original/xyz/phone.jpg",
  "title": "iPhone 15 Pro 256GB Naturalny Tytan",
  "url": "https://allegro.pl/oferta/iphone-15-pro-256gb-naturalny-tytan-99999999",
  "price": null,
  "currency": "PLN",
  "seller": "AppleAuthorizedReseller",
  "available": false,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}
```

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 🎯 | **Built for the job.** Scoped specifically to Allegro.pl so you skip the parser engineering entirely. |
| 🔖 | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| ⚡ | **Fast.** Optimized request patterns return results in seconds, not minutes. |
| 🔁 | **Always fresh.** Every run pulls live data, so the dataset reflects Allegro as of run time. |
| 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. |
| 🛡️ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. |
| 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |

> 📊 Production-grade structured marketplace data without the engineering overhead of building and maintaining your own scraper.

***

### 📈 How it compares to alternatives

| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| **⭐ Allegro Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full Allegro catalog | **Live per run** | Source-native filters via URL or search | ⚡ 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐢 Days to weeks |
| Paid live APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | ⏳ Hours |
| Manual price monitoring | Hours per check | Limited | Stale | Manual | 🕒 Variable |

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

***

### 🚀 How to use

1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes).
2. 🌐 **Open the Actor.** Go to the Allegro Scraper page on the Apify Store.
3. 🎯 **Paste a URL or query.** Either paste an Allegro listing URL or set searchQuery, then set maxItems.
4. 🚀 **Run it.** Click **Start** and let the Actor collect your data.
5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML.

> ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required.

***

### 💼 Business use cases

<table>
<tr>
<td width="50%" valign="top">

#### 📊 Price intelligence

- Track Allegro prices vs Amazon, Ebay, retailer DTC
- Monitor price drops and promotional pricing
- Build comp sets across SKUs and brands
- Alert on competitor undercutting

</td>
<td width="50%" valign="top">

#### 🏢 Brand and trade marketing

- Monitor MAP/MSRP compliance from authorized sellers
- Spot grey-market resellers in Poland
- Track shelf share by category
- Build assortment dashboards by brand

</td>
</tr>
<tr>
<td width="50%" valign="top">

#### 🎯 Sourcing and procurement

- Source suppliers from Allegro merchant catalog
- Validate supplier pricing across products
- Build approved-vendor lists for Polish purchases
- Source contingent inventory for spikes

</td>
<td width="50%" valign="top">

#### 🛠️ Engineering and product

- Prototype price-comparison products without owning a crawler
- Replace fragile in-house Allegro scrapers
- Wire datasets into your apps via the Apify API or webhooks
- Skip the proxy, retry, and parsing maintenance entirely

</td>
</tr>
</table>

***

### 🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

<table>
<tr>
<td width="50%">

#### 🎓 Research and academia

- Empirical datasets for papers, thesis work, and coursework
- Longitudinal studies tracking changes across snapshots
- Reproducible research with cited, versioned data pulls
- Classroom exercises on data analysis and ethical scraping

</td>
<td width="50%">

#### 🎨 Personal and creative

- Side projects, portfolio demos, and indie app launches
- Data visualizations, dashboards, and infographics
- Content research for bloggers, YouTubers, and podcasters
- Hobbyist collections and personal trackers

</td>
</tr>
<tr>
<td width="50%">

#### 🤝 Non-profit and civic

- Transparency reporting and accountability projects
- Advocacy campaigns backed by public-interest data
- Community-run databases for local issues
- Investigative journalism on public records

</td>
<td width="50%">

#### 🧪 Experimentation

- Prototype AI and machine-learning pipelines with real data
- Validate product-market hypotheses before engineering spend
- Train small domain-specific models on niche corpora
- Test dashboard concepts with live input

</td>
</tr>
</table>

***

### 🔌 Automating Allegro Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

- **Node.js** - call it via the [Apify JS SDK](https://docs.apify.com/sdk/js).
- **Python** - call it via the [Apify Python SDK](https://docs.apify.com/sdk/python).
- **REST** - hit it directly through the [Apify v2 API](https://docs.apify.com/api/v2).

**Schedules.** Use Apify Scheduler to capture daily price snapshots. Combine with the Apify dataset diff tools to alert on price changes between runs.

***

### ❓ Frequently Asked Questions

<details>
<summary><b>💳 Do I need a paid Apify plan to run this actor?</b></summary>

No. You can start right now on the free Apify plan, which includes **$5 in monthly credit**. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp).

</details>

<details>
<summary><b>🚨 What happens if my run fails or returns no results?</b></summary>

Failed runs are not charged. If Allegro changes its DOM, proxies get rate-limited, or your filters match nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will look into it.

</details>

<details>
<summary><b>📏 How many items can I scrape per run?</b></summary>

Free users are limited to **10 items per run** so you can preview the output. Paid users can raise maxItems up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.

</details>

<details>
<summary><b>🕒 How fresh is the data?</b></summary>

Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Allegro returned at run time. Schedule the actor to maintain a rolling snapshot.

</details>

<details>
<summary><b>🧑‍💻 Can I call this actor from my own code?</b></summary>

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines.

</details>

<details>
<summary><b>📤 How do I export the data?</b></summary>

Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream into BigQuery, S3, and other destinations through built-in integrations.

</details>

<details>
<summary><b>📅 Can I schedule the actor to run automatically?</b></summary>

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

</details>

<details>
<summary><b>🏪 Can I use the data commercially?</b></summary>

Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to the terms of service of the source site. The Apify dataset itself has no extra licensing on top.

</details>

<details>
<summary><b>💼 Which plan should I pick for production use?</b></summary>

Apify's Starter and Scale plans are designed for production workloads. They give you faster instances, more concurrent runs, and higher proxy quotas. Pick the plan that matches your dataset size and refresh cadence; the in-app pricing calculator will help you size it.

</details>

<details>
<summary><b>🛠️ The data I need is not in the output. Can you add it?</b></summary>

Most likely yes. Open the [contact form](https://tally.so/r/BzdKgA) and tell us which field you need. We add fields all the time when there is a clear use case and the source page exposes the data.

</details>

<details>
<summary><b>⚖️ Is scraping Allegro legal?</b></summary>

This Actor only collects data from publicly accessible Allegro pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with the source site's Terms of Service and applicable law.

***

</details>

### 🔌 Integrate with any app

Allegro Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

***

### 🔗 Recommended Actors

- [**🛒 Amazon Scraper**](https://apify.com/parseforge/amazon-scraper) - Amazon product listings with prices, ratings, and details
- [**🛍️ eBay Scraper**](https://apify.com/parseforge/ebay-scraper) - eBay listings with prices and seller info
- [**🛒 Mercari Scraper**](https://apify.com/parseforge/mercari-scraper) - Marketplace listings with values and seller information
- [**🛒 Idealo Scraper**](https://apify.com/parseforge/idealo-de-scraper) - German price comparison aggregator
- [**🛒 Walmart Scraper**](https://apify.com/parseforge/walmart-scraper) - Walmart product catalog with prices and availability

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers.

***

**🆘 Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom project, or report an issue.

***

> ⚠️ **Disclaimer.** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Allegro.pl or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.

# Actor input Schema

## `startUrl` (type: `string`):

Allegro.pl listing or search page URL. Browse allegro.pl, apply your filters, and paste the URL here.

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

Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000

## `searchQuery` (type: `string`):

Search for products by keyword (e.g., 'laptop', 'iPhone 15', 'Nike shoes'). Overrides Start URL.

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

Sort results order.

## Actor input object example

```json
{
  "startUrl": "https://allegro.pl/listing?string=laptop",
  "maxItems": 10
}
```

# Actor output Schema

## `overview` (type: `string`):

Overview of products with key fields

## `fullData` (type: `string`):

Complete dataset with all scraped fields

# 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 = {
    "startUrl": "https://allegro.pl/listing?string=laptop",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/allegro-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 = {
    "startUrl": "https://allegro.pl/listing?string=laptop",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/allegro-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 '{
  "startUrl": "https://allegro.pl/listing?string=laptop",
  "maxItems": 10
}' |
apify call parseforge/allegro-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Allegro.pl Polish Marketplace Scraper",
        "description": "Scrape product listings from Allegro.pl, Poland's largest e-commerce marketplace. Get titles, prices (PLN), sellers, ratings, review counts, shipping info, and images. Search by keyword with sorting by relevance, price, newest, or best selling.",
        "version": "1.0",
        "x-build-id": "dHKFzErOUGP15tAcn"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~allegro-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-allegro-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~allegro-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-allegro-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~allegro-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-allegro-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "startUrl": {
                        "title": "Start URL",
                        "type": "string",
                        "description": "Allegro.pl listing or search page URL. Browse allegro.pl, apply your filters, and paste the URL here."
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
                    },
                    "searchQuery": {
                        "title": "Search Query",
                        "type": "string",
                        "description": "Search for products by keyword (e.g., 'laptop', 'iPhone 15', 'Nike shoes'). Overrides Start URL."
                    },
                    "sortBy": {
                        "title": "Sort By",
                        "enum": [
                            "",
                            "qd",
                            "p",
                            "pd",
                            "n"
                        ],
                        "type": "string",
                        "description": "Sort results order."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
