[Blog](https://scrapfly.io/blog)   /  [beautifulsoup](https://scrapfly.io/blog/tag/beautifulsoup)   /  [How to Scrape Allegro.pl in 2026](https://scrapfly.io/blog/posts/how-to-scrape-allegro)   # How to Scrape Allegro.pl in 2026

 by [Ziad Shamndy](https://scrapfly.io/blog/author/ziad) May 23, 2026 11 min read [\#beautifulsoup](https://scrapfly.io/blog/tag/beautifulsoup) [\#python](https://scrapfly.io/blog/tag/python) [\#requests](https://scrapfly.io/blog/tag/requests) [\#scrapeguide](https://scrapfly.io/blog/tag/scrapeguide) 

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Allegro.pl is Poland's largest e-commerce marketplace. It has millions of product listings across every category. For price monitoring, market research, or competitive analysis in Poland, scraping Allegro is a valuable data source.

The catch is that Allegro sits behind DataDome, a strict commercial anti-bot system. Plain HTTP requests get a 403 before they reach a parser. In this guide, we'll use [Scrapfly's Web Scraping API](https://scrapfly.io/web-scraping-api) to handle the DataDome bypass. We'll route through Polish residential IPs and parse listings and product detail pages from JSON in Allegro's script tags. Let's get started.

[**Latest Allegro Scraper Code**github.com/scrapfly/scrapfly-scrapers/allegro-scraper](https://github.com/scrapfly/scrapfly-scrapers/tree/main/allegro-scraper)

## Key Takeaways

- Allegro embeds its product data twice on every page. Listings live in a `__listing_StoreState` JSON blob and product detail pages expose `formattedPrice`, `sellerName`, `gallery`, and `aggregateRating` in separate `<script data-serialize-box-id>` tags. Parsing those JSON payloads is more stable than scraping the obfuscated CSS classes Allegro rotates between deploys.
- DataDome blocks plain HTTP requests fast. The first request from a non-Polish IP usually returns 403 or a CAPTCHA challenge, and even well-formed Polish headers will not carry a session through multiple listing pages without TLS fingerprint parity and IP rotation.
- The `searchMeta` payload inside Allegro's listing pages reports the real `lastAvailablePage`, so you can paginate concurrently without guessing how many pages exist or hitting empty result pages.
- Scrapfly's `asp=True` handles DataDome's TLS, behavior, and cookie checks in a single API call, and `proxy_pool="public_residential_pool"` routes the request through a Polish residential IP that Allegro treats as a real visitor.
- For production-scale Allegro scraping, [Scrapfly's DataDome bypass](https://scrapfly.io/bypass/datadome) returns clean HTML so the `parse_search` and `parse_product` functions in this guide drop straight into a concurrent crawl loop without maintaining proxy pools or fingerprint logic in-house.

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## Why Is Allegro.pl Hard to Scrape?

Allegro uses [DataDome](https://datadome.co/), one of the most common commercial anti-bot systems on the web today. A plain `requests.get()` to an Allegro category page will almost always return a 403 response or CAPTCHA challenge. You will not get the actual page content.

There are a few reasons scraping Allegro is harder than most e-commerce sites:

- DataDome analyzes your request fingerprint. It checks your TLS signature, HTTP headers, and behavior patterns. A simple Python request does not look like a real browser, so DataDome catches it right away.
- Allegro is a Polish marketplace, so non-Polish IP addresses raise suspicion. Without a Polish residential proxy, your success rate drops a lot.
- Listing and search pages are more aggressively protected than product detail pages. You might get lucky scraping a single product URL, but category pages with pagination are where most scrapers fail.

For a deeper look at how DataDome works and how to get around it, check out our dedicated guide.

[How to Bypass Datadome Anti Scraping in 2026Learn how Datadome detects web scrapers using TLS, IP, and ML analysis, and discover practical bypass techniques and tools for 2026.](https://scrapfly.io/blog/posts/how-to-bypass-datadome-anti-scraping)



## How to Set Up Scrapfly for Allegro

The whole setup runs through the Scrapfly Python SDK. Install it first, then configure a base request profile that handles DataDome and Polish geolocation in one place.

bash```bash
pip install scrapfly-sdk
```



The SDK wraps the Scrapfly Web Scraping API and exposes the `ScrapflyClient` and `ScrapeConfig` you need to send requests. Get an API key from the [Scrapfly dashboard](https://scrapfly.io/dashboard) and export it as `SCRAPFLY_KEY`.

python```python
import os
import json
import urllib.parse
from scrapfly import ScrapeConfig, ScrapflyClient

SCRAPFLY = ScrapflyClient(key=os.environ["SCRAPFLY_KEY"])

BASE_CONFIG = {
    "asp": True,                              # bypass DataDome
    "proxy_pool": "public_residential_pool",  # residential IPs
    "render_js": True,                        # Allegro is a SPA in places
    "retry": True,                            # auto-retry on transient blocks
}
```



`asp=True` turns on Anti-Scraping Protection, which solves DataDome's TLS, behavior, and JavaScript challenges automatically. `proxy_pool="public_residential_pool"` keeps the request on a residential IP, and `render_js=True` waits for Allegro's client-side JavaScript before returning the HTML. Every snippet below reuses this `BASE_CONFIG`.



Scrapfly

#### Extract structured data automatically?

Scrapfly's Extraction API uses AI to turn any webpage into structured data — no selectors needed.

[Try Free →](https://scrapfly.io/register)## How Do You Scrape Allegro Product Listings?



The most common scraping target on Allegro is the category listing page. We'll use the smartphone category as our example.

When you open a category page like `https://allegro.pl/listing?string=smartfon`, you see a grid of product cards. Each card contains the product title, price, product link, seller, and thumbnail. Allegro renders those cards on the client side. It also embeds the full listing dataset as JSON inside two `<script>` tags. `searchMeta` holds page metadata, total count, and last page. `__listing_StoreState` holds the product array. Parsing that JSON is faster and more stable than scraping obfuscated CSS classes that Allegro rotates between deploys.

python```python
def parse_search(result):
    """Parse Allegro search page from embedded JSON state."""
    search_meta_json = result.selector.xpath(
        '//script[@data-serialize-box-id and contains(text(), "searchMeta")]/text()'
    ).get()
    search_meta = json.loads(search_meta_json) if search_meta_json else {}
    last_page = search_meta.get("props", {}).get("searchMeta", {}).get("lastAvailablePage", 1)

    listing_json = result.selector.xpath(
        '//script[contains(text(), "__listing_StoreState")]/text()'
    ).get()
    products = []
    if listing_json:
        elements = json.loads(listing_json)["__listing_StoreState"]["items"]["elements"]
        for item in elements:
            if item.get("context") == "PROMOTED":
                continue
            price = item.get("price", {}).get("mainPrice", {})
            products.append({
                "product_id": item.get("id"),
                "title": item.get("alt"),
                "price": price.get("amount"),
                "currency": price.get("currency", "PLN"),
                "url": f"https://allegro.pl/oferta/{item.get('eventData', {}).get('offer_id', '')}",
                "image": item.get("mainThumbnail"),
                "seller": item.get("seller", {}).get("login"),
            })
    return {"products": products, "total_pages": last_page}


async def scrape_search(query: str):
    """Fetch a single search page through Scrapfly and parse it."""
    url = f"https://allegro.pl/listing?string={urllib.parse.quote(query)}"
    result = await SCRAPFLY.async_scrape(ScrapeConfig(url, **BASE_CONFIG))
    return parse_search(result)
```



The parser skips promoted items (`context == "PROMOTED"`), so the output matches the natural listing order. Title, price, currency, image, and seller all come from the JSON. The offer ID resolves into a full product URL for the detail scraper below.

 Example Outputjson```json

COUNT=14 TOTAL_PAGES=100
{
  "product_id": "b4c19645-7c11-48a5-bfbe-c2ea5fbe9bc3",
  "title": "Smartfon Motorola Moto G15 8 GB / 128 GB 4G (LTE) niebieski",
  "price": "424.00",
  "currency": "PLN",
  "url": "https://allegro.pl/oferta/18529923195",
  "image": "https://a.allegroimg.com/s180/296de1/...",
  "seller": "Elektromaniak_"
}
{
  "product_id": "043bbadf-5f57-45aa-939a-44ee901360e5",
  "title": "Smartfon Samsung Galaxy S23 8 GB / 128 GB 5G czarny",
  "price": "1199.00",
  "currency": "PLN",
  "url": "https://allegro.pl/oferta/17341423435",
  "image": "https://a.allegroimg.com/s180/113308/...",
  "seller": "luxtrade-pl"
}
  
```



### How Does Allegro Handle Pagination?

Allegro uses a simple `p` query parameter for pagination. Page 1 loads without it, and every page after that increments the number.

```
https://allegro.pl/listing?string=smartfon       # page 1
https://allegro.pl/listing?string=smartfon&p=2   # page 2
https://allegro.pl/listing?string=smartfon&p=3   # page 3
```



The `searchMeta` payload from the first page tells you the real `lastAvailablePage`, so you can pre-build all the remaining requests and fire them concurrently through `SCRAPFLY.concurrent_scrape`:

python```python
async def scrape_all_pages(query: str, max_pages: int = 3):
    """Scrape the first N pages of a search concurrently."""
    base_url = f"https://allegro.pl/listing?string={urllib.parse.quote(query)}"
    first = await SCRAPFLY.async_scrape(ScrapeConfig(base_url, **BASE_CONFIG))
    first_page = parse_search(first)
    all_products = first_page["products"]

    pages = min(max_pages, first_page["total_pages"])
    other_configs = [
        ScrapeConfig(f"{base_url}&p={p}", **BASE_CONFIG)
        for p in range(2, pages + 1)
    ]
    async for response in SCRAPFLY.concurrent_scrape(other_configs):
        all_products.extend(parse_search(response)["products"])
    return all_products
```



Each Allegro page returns up to 60 listings, so three pages give you roughly 180 products. `concurrent_scrape` runs the remaining pages in parallel. A multi-page crawl then finishes in roughly one page's worth of wall time.

## How Do You Scrape Allegro Product Detail Pages?

Product detail pages are where the real depth is. A single product URL like `https://allegro.pl/oferta/18529923195` gives you structured pricing, seller reputation, aggregate ratings, the full specifications table, and the image gallery. This is the data that matters for price monitoring and competitive analysis.

Like listing pages, Allegro embeds detail data inside JSON `<script>` tags rather than visible HTML. Three blocks are worth pulling: `formattedPrice`, `sellerName`, and `aggregateRating`. They hold the current price, seller identity and reputation, and review summary. The specifications table is the only field where parsing HTML pays off. Allegro renders it as a plain `<ul><li><b>key</b> value</li></ul>` list that stays stable across deploys.

python```python
def parse_product(result):
    """Parse an Allegro product detail page from embedded JSON."""
    sel = result.selector

    price_json = sel.xpath(
        '//script[@data-serialize-box-id and contains(text(), "formattedPrice")]/text()'
    ).get()
    price_data = json.loads(price_json) if price_json else {}
    price_info = {
        "formatted": price_data.get("price", {}).get("formattedPrice"),
        "currency": price_data.get("price", {}).get("currency"),
    }

    seller_json = sel.xpath(
        '//script[@data-serialize-box-id and contains(text(), "sellerName")]/text()'
    ).get()
    seller = json.loads(seller_json) if seller_json else {}

    review_script = sel.xpath('//script[contains(text(), "aggregateRating")]/text()').get()
    review_data = json.loads(review_script) if review_script else {}
    rating = review_data.get("aggregateRating")

    specifications = []
    for li in sel.xpath("//ul/li[b]"):
        key = li.xpath(".//b/text()").get()
        value = li.xpath("./text()").get()
        if key and value:
            specifications.append({"key": key.strip().rstrip(":"), "value": value.strip()})

    return {
        "title": sel.xpath('//meta[@property="og:title"]/@content').get(""),
        "price": price_info,
        "seller": {
            "name": seller.get("sellerName"),
            "rating": seller.get("sellerRating"),
            "is_super_seller": seller.get("isSuperSeller"),
        },
        "rating": rating,
        "specifications": specifications,
    }


async def scrape_product(urls: list[str]):
    """Scrape multiple product detail pages concurrently."""
    configs = [ScrapeConfig(url, **BASE_CONFIG) for url in urls]
    products = []
    async for response in SCRAPFLY.concurrent_scrape(configs):
        products.append(parse_product(response))
    return products
```



`og:title` gives you the canonical product title that Allegro uses for SEO and sharing, which sidesteps the rotating CSS classes on the visible `<h1>`. The seller block exposes the `isSuperSeller` flag (Allegro's trust badge), and `aggregateRating` carries the average score plus the review count.

 Example Outputjson```json

{
  "title": "Smartfon Motorola Moto G15 8 GB / 128 GB 4G (LTE) niebieski",
  "price": {
    "formatted": "424,00 zł",
    "currency": "PLN"
  },
  "seller": {
    "name": "Elektromaniak_",
    "rating": "97,6%",
    "is_super_seller": true
  },
  "rating": {
    "value": 4.9,
    "label": "Rewelacyjny",
    "count": {
      "total": 181,
      "deleted": 0,
      "reviews": 49
    }
  },
  "specifications": [
    {"key": "Przekątna ekranu", "value": "17,1 cm (6.72\")"},
    {"key": "Typ matrycy", "value": "LCD"},
    {"key": "Wersja Gorilla Glass", "value": "Gorilla Glass 3"}
  ]
}
  
```



The product detail scraper pulls everything from a single page in one pass. Combine it with the listing scraper by feeding each listing `url` into `scrape_product`. That gives you a two-stage pipeline: cheap listing pulls for discovery, then full detail pulls for products you want to track.

## Powering Allegro Scraping with Scrapfly



Scrapfly provides web scraping, screenshot, and extraction APIs for data collection at scale. For Allegro, the [Web Scraping API](https://scrapfly.io/web-scraping-api) handles the DataDome bypass, Polish geolocation, and TLS fingerprinting. Those layers block DIY scrapers at production volume. With Scrapfly handling them, the parsers above keep working as the marketplace changes.

- [Anti-Scraping Protection bypass](https://scrapfly.io/docs/scrape-api/anti-scraping-protection) solves DataDome's TLS, behavior, and cookie checks automatically with `asp=True`.
- [Smart proxy rotation](https://scrapfly.io/docs/scrape-api/proxy) routes Allegro traffic through Polish residential IPs through `proxy_pool="public_residential_pool"`.
- [JavaScript rendering](https://scrapfly.io/docs/scrape-api/javascript-rendering) waits for Allegro's client-side hydration before returning HTML, so the embedded JSON blocks contain data.
- [Smart caching](https://scrapfly.io/docs/scrape-api/getting-started#api_param_cache) keeps repeat scrapes cheap during selector development.
- [Python SDK](https://scrapfly.io/docs/sdk/python) with `concurrent_scrape` for parallel pagination and detail crawls.

For more on anti-bot strategies in general, see our guide on bypassing anti-bot protection.

[How to Bypass Anti-Bot Protection When Web ScrapingLearn how anti-bot systems detect scrapers and 5 universal bypass techniques including proxy rotation, fingerprinting, and fortified headless browsers.](https://scrapfly.io/blog/posts/how-to-bypass-anti-bot-protection-when-web-scraping)

### Web Scraping API

Scrape any website with our powerful API. Anti-bot bypass, JavaScript rendering, and rotating proxies built-in.



[Try Web Scraping API](https://scrapfly.io/docs/scrape-api/getting-started)





## FAQ

Does Allegro use Cloudflare or DataDome?Allegro uses DataDome for its anti-bot protection, not Cloudflare. You can confirm this by checking the network requests in your browser's developer tools when visiting Allegro.







Do you need Polish proxies to scrape Allegro?Polish proxies improve your success rate a lot because Allegro's anti-bot system treats non-Polish traffic with more suspicion. Scrapfly's `proxy_pool="public_residential_pool"` routes through Polish residential IPs automatically.







Can you use the Allegro API instead of scraping?Allegro offers a REST API for registered developers, but it requires OAuth authentication and has strict rate limits aimed at sellers and integrators. For price monitoring or competitive analysis, direct scraping gives you more flexibility and access to the full page content.









## Summary

Scraping Allegro comes down to two jobs: get past DataDome, then parse the JSON Allegro ships inside script tags. The listing JSON lives under `__listing_StoreState`. Product page JSON lives in `formattedPrice`, `sellerName`, and `aggregateRating` blocks. The `searchMeta` payload tells you how many pages exist before you start paginating.

[Scrapfly's DataDome bypass](https://scrapfly.io/bypass/datadome) handles the anti-bot layer. Polish residential proxies handle geolocation. These parsers fit into a concurrent crawl loop. You do not need proxy pools, TLS fingerprint tuning, or CSS selector repairs after each Allegro deploy.



Legal Disclaimer and PrecautionsThis tutorial covers popular web scraping techniques for education. Interacting with public servers requires diligence and respect:

- Do not scrape at rates that could damage the website.
- Do not scrape data that's not available publicly.
- Do not store PII of EU citizens protected by GDPR.
- Do not repurpose *entire* public datasets which can be illegal in some countries.

Scrapfly does not offer legal advice but these are good general rules to follow. For more you should consult a lawyer.

 

   Table of Contents















 

  Table of Contents- [Key Takeaways](#key-takeaways)
- [Why Is Allegro.pl Hard to Scrape?](#why-is-allegro-pl-hard-to-scrape)
- [How to Set Up Scrapfly for Allegro](#how-to-set-up-scrapfly-for-allegro)
- [How Do You Scrape Allegro Product Listings?](#how-do-you-scrape-allegro-product-listings)
- [How Does Allegro Handle Pagination?](#how-does-allegro-handle-pagination)
- [How Do You Scrape Allegro Product Detail Pages?](#how-do-you-scrape-allegro-product-detail-pages)
- [Powering Allegro Scraping with Scrapfly](#powering-allegro-scraping-with-scrapfly)
- [Web Scraping API](#web-scraping-api)
- [FAQ](#faq)
- [Summary](#summary)
 
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