Allegro Scraper

Allegro reflects the everyday habits of millions of buyers from Poland and Central Europe. With our Allegro scraper, you get detailed data on demand, pricing, seller strategies, and market response. We export the data in a format tailored to your specific needs. You’ll see what people actually buy, who sells it, and how it’s presented.

Allegro Scraper
Solutions

Allegro Data Scraper

We don’t give you a tool — we work as your personal scraper. First, we define exactly what you need: products from a specific brand, category, seller, or filtered by keywords. Then we extract only what matters — no unnecessary clutter. The result is a clean, structured file in CSV, Excel, or JSON format — ready for analysis, database import, or integration with your internal tools.

Our goal is to remove all technical barriers. No configuration, no APIs, no reliance on SaaS platforms. Just ready-to-use data from Allegro, with the right depth and scale. We know how this market works, and we’ll quickly find the best way to scrape Allegro for your needs.

The Core Data Our Allegro Scraper Delivers

Allegro’s layout is transparent — which allows us to extract key information directly from the product page using our Allegro data scraper:

  • Product title and short description
  • Current price, old price, currency, and discount amount
  • Images (main and gallery), previews, and image quality
  • Seller info: store name, rating, total number of reviews
  • Product availability, stock status, shipping details
  • Category, subcategory, brand, and listing type (new/used)
  • Available options: color, size, configuration
  • Product rating (stars), number and content of reviews, review dates

This is the data that shapes product visibility, conversion rate, and customer behavior on the platform.

The Core Data Our Allegro Scraper Delivers
Additional Data from Allegro

Additional Data from Allegro

If you need more, we can extract extended product data using our custom extractor:

  • Shipping methods: courier, pickup point, Allegro Smart!
  • Return policy and warranty terms
  • Badges and labels: “Bestseller,” “Allegro Smart!,” “Promotion”
  • Number of units sold (if displayed)
  • View count and number of watchers
  • Product’s appearance in related sections: “Recommended,” “Customers also bought”
  • Delivery estimates by region
  • Links to the same product offered by other sellers

This helps you understand buyer behavior, seasonal demand, competitive dynamics, and pricing strategies more deeply.

What to Know About Allegro

Allegro is Poland’s largest e-commerce platform, with over 20 million active users. Founded in 1999, it is now one of the top online retail ecosystems in Central Europe. Its main domain is allegro.pl, but following the acquisition of Mall Group in 2021, the company has expanded into the Czech and Slovak markets. The platform supports both Polish and Czech languages and operates in PLN and CZK.

What makes Allegro.pl unique is its deep local integration. It’s strongly tied to Polish brands, popular categories like home goods, cars, and electronics, and localized delivery methods and features like the Allegro Smart! subscription. That makes it a particularly rich source of insights for both international sellers and local businesses.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Price

Pricing for Allegro Data Scraping

Customized scraping setup for Allegro — faster and cheaper than building a solution from scratch.

Plans:
Plan:
Airplane
Helicopter
Helicopter Pro
Glasses
Glasses Pro
Best Choice
Microscope
DNA
Fee 1st month ?Fee includes setup and a data sample
199 €
499€
499€
499€
499€
499€
799€
Fee 2nd month ?Fee starting from the 2nd month onward.
-
169€
199€
229€
289€
349€
549€
Free project assessment
+
+
+
+
+
+
+
Custom requirements
+
+
+
+
+
+
+
Prescrape sourse filtering ?The range of scraped data will be narrowed down based on the requirements.
+
+
+
+
+
+
+
Test data ?"Data example" is a pre-generated dataset, usually not up-to-date, intended to showcase what parameters can be scraped, its format, final file structure, etc. It is refreshed once a quarter and provided "as-is". The cost is not subtracted from the first month's fee.

"Sample dataset" is a bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs. The sample dataset is included in most plans, with its cost deducted from the first month's fee.
data example
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
Frequency ?The number of times the dataset is to be delivered during the billing period (month).
one-time
monthly
bi-monthly
weekly
3 times weekly
daily
3 times daily
Data limits(rows) ?The maximum number of unique data rows covered by the plan.
100 000
250 000
500 000
1 000 000
1 500 000
2 000 000
3 000 000
Data quality checks?The forms of quality assurance implemented to ensure data accuracy and quality standards.
manual
automated
automated
automated
automated
automated and manual
automated and manual
Scraping session duration ?The time frame (working days) designated for dataset acquisition.
up to 5 days
up to 5 days
up to 5 days
up to 3 days
same day
same day
same day
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
paid separately
+
+
+
+
+
+
Output formats
CSV, JSON, XLSX
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
Delivery options
e-mail, FTP pick up
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
any
any
Data storing period ?The retention period for clients' datasets on the Service's servers after the delivery.
7 days
14 days
14 days
30 days
30 days
60 days
90 days
Issue response time ?The regulated period for the support team to acknowledge and address a customer's issue or inquiry.
72h
72h
72h
48h
48h
24h
18h
Scraping / data delivery scheduling ?The possibility to scrape data within a predefined dates and time intervals.
-
-
-
+
+
+
+
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
-
paid separately
paid separately
paid separately
paid separately
paid separately
+
Image storing ?The option to retain images associated with the scraped data.
paid separately
paid separately
paid separately
paid separately
paid separately
paid separately
+
Translation integration ?The option to integrate external services for automated data translation.
paid separately
included
included
included
included
included
included
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
paid separately
paid separately
+
Free Scraper maintenance ?Any structural or naming adjustments in data sources are resolved under free maintenance, without additional fees.
-
+
+
+
+
+
+
Free change requests ?Free adjustments to the scraping requirements or data structure available within a billing period (month).
-
1
1
1
1
3
5
Benefits
Quotitive discounts ?Discounts that are available for the number of scrapers being operated concurrently under subscription.
-
Season, Sixer, Duz
Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Commitment discounts ?Discounts that are available for the number of billing periods (months) paid upfront.
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Dedicated PM
-
-
-
+
+
+
+
Dedicated Slack channel ?A dedicated guest Slack channel is provided for the client's team to facilitate seamless communication and efficient issue resolution.
-
-
-
-
-
+
+
Integration with client's infrastructure ?Automatic data delivery and integration with the client’s system.
-
+
+
+
+
+
+
SLA ?A Service Level Agreement (SLA) can be signed upon clients' requests.
-
+
+
+
+
+
+
Extra Costs
Sample dataset ?A bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs.
50€
50€
50€
50€
50€
50€
50€
Extra data (100K rows) ?The cost of extra data beyond the volume provided by the plan.
12€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
8€ / 100K
7€ / 100K
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
79€
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
included
Translation integration ?The option to integrate external services for automated data translation.
25€
+
+
+
+
+
+
Translation(100K symbols) ?The cost of usage of translation integration option.
0,8€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,6€ / 100K
0,6€ / 100K
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
79€ - 1st month | 59€ - 2+ month
79€ - 1st month | 59€ - 2+ month
included
Image Storing (100 GB / month) ?The cost of usage of image storing option.
5€ / 100GB
4€ / 100GB
4€ / 100GB
3,5€ / 100GB
3,5€ / 100GB
3€ / 100GB
3€ / 100GB
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
10€
included
included
included
included
included
included
Extra change request rate ?The cost of each change request is determined individually based on the working hours required multiplied by the service rate.
-
30€/h
30€/h
30€/h
30€/h
30€/h
30€/h
Analytical dashboard ?The basic analytical dashboard can contain up to 6 metrics.
-
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month

Get samples:

Data Example

9.99 (14.99)
/ source
icon-check

Data limits (rows): a 100+ row piece

icon-check

Iterations: 1

icon-check

Custom requirements: No

icon-check

Data lifetime: up to 3 month old

icon-check

Data quality checks: No

icon-check

Delivery deadline: 1 working day

icon-check

Output formats: CSV, JSON, XLSX

icon-check

Delivery options: e-mail

Sample Dataset

50
/ source
icon-check

Data limits (rows): up to 10%

icon-check

Iterations: up to 3

icon-check

Custom requirements: Yes

icon-check

Data lifetime: up-to-date

icon-check

Data quality checks: Yes

icon-check

Delivery deadline: 1-2 working days

icon-check

Output formats: CSV, JSON, XLSX

icon-check

Delivery options: e-mail

Get data sample

Why You Need an Allegro Web Scraper

Allegro’s standard API has many limitations, and the website’s filters don’t give the full picture. That’s where our Allegro scraper comes in. With data parsing, you can:

  • Compare how different sellers present the same product
  • Track which listings are getting purchased or saved the most
  • Identify growing brands and price segments
  • Spot high-performing headlines and visual layouts
  • Analyze shipping strategies: delivery times, methods, promotional offers

This is especially useful for suppliers, marketers, category managers, and resellers who want to understand not just what’s listed — but what actually works on the market.

Our Blog

Reads Our Latest News & Blog

Learn how to use web scraping to solve data problems for your organization

How to Use Real Estate Web Scraping to Gain Valuable Insights

How to Use Real Estate Web Scraping to Gain Valuable Insights

December 12, 2023

Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping

How to Scrape Amazon Data: Benefits, Challenges & Best Practices

How to Scrape Amazon Data: Benefits, Challenges & Best Practices

September 27, 2022

Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.

What is the Scraping Web Data for Sentiment Analysis & How it Helps Marketers and Data Scientists

What is the Scraping Web Data for Sentiment Analysis & How it Helps Marketers and Data Scientists

September 13, 2022

The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.

scrapeit logo

About ScrapeIt

At ScrapeIt, we turn marketplace data into actionable insights. We’re not just collecting — we deliver clean, structured product information that helps businesses see what works and what doesn’t. Our services are designed for e-commerce analysts, suppliers, and investors who need accurate data without the hassle. Whether it’s a one-time export or weekly updates, our Allegro web scraper adapts to your workflow.

FAQ

What can I learn from Allegro data?

Our scraper shows you which products sell best, how sellers structure their listings, and what pricing patterns are most common in your niche.

How often can you update Allegro data?

It depends on your goals. We can deliver fresh data daily, weekly, or on demand.

I want to compare Allegro data with my own online store. Is that possible?

Absolutely. We’ll format the data so it aligns with your system — making it easy to see where you're ahead and where adjustments might help.

Can I filter products by delivery time or shipping method?

Yes. If the listing includes shipping details, we can extract info like estimated delivery time, courier service, or free shipping — and filter results accordingly.

Is it possible to track how product availability changes over time?

Yes. We can monitor whether items go out of stock, come back, or change in quantity.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
scrapiet

Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582