Pyszne.pl sorts Poland by postcode: each XX-XXX code opens a list of restaurants and shops with their own fees, minimum orders, stamp cards and menus priced in zloty.
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You name the postcodes, towns, voivodeships or chains, the fields and the cadence. We build the Pyszne.pl scraper, run it, watch it and repair it when the storefront changes. To scrape Pyszne.pl across a city we turn the location directory into a postcode plan, keep one row per restaurant and postcode, dedupe branches on restaurant ID and join Polish and English menus item by item. The storefront sits behind bot protection, so anti-bot handling, proxy rotation and CAPTCHA solving are part of the service. We extract Pyszne.pl data as CSV, JSON, XLSX, a Google Sheet, a database load or an API we host, delivered over email, S3, SFTP or webhook.
Fields come in layers, from the postcode list down to the single dish, and we keep the labels the English storefront uses.
Promotions have their own filter, Deals in the English storefront and Promocje in the Polish one, and each restaurant's promotions tab spells out the running offers with their thresholds. Stamp cards, Pieczatki in Polish, follow one rule everywhere: five orders at the same place earn a discount worth 10% of what those five orders cost.
Pyszne.pl+ is the membership. The help centre describes a one-off 90-day free delivery pass with no automatic renewal: orders from PLN 50 at participating places get free delivery, the pass covers up to PLN 13 of the delivery fee, and orders paid in cash or with Pyszne Pay do not qualify. For employers, Pyszne.pl for Business runs employee meal allowances on the Pyszne Pay card, promoted in the site header as Karty Lunchowe.
The catalogue has also outgrown food. Tabs next to Restaurants cover Groceries, Pharmacy, Alcohol, Flowers, Pet Supplies, Health and Beauty and Gifts; Zakupy online is the grocery tag, with Carrefour, Zabka Jush and Lisek among the stores, and a chain of phone accessory shops joined in 2026. The yearly Pyszne.pl Awards add a curated layer: the 2025 edition named Jaga Pizza from Bialystok restaurant of the year.
Pyszne.pl is the Polish food delivery marketplace of Just Eat Takeaway.com. A Pyszne.pl scraper has to follow the way the site cuts the country: every restaurant list is built for one five-digit postcode, such as 03-450 in Warsaw's Praga district, and the fee and minimum order a place quotes belong to that code. Next to restaurants, the same lists now carry supermarkets, pharmacies, florists and phone accessory shops.
Who owns Pyszne.pl? Just Eat Takeaway.com, which Prosus bought in 2025. The site was founded in Wroclaw in 2010, became part of Takeaway.com in 2014 and is still operated from Wroclaw by sto2 Sp. z o.o.
Above the postcode lists sit town pages, city pages for Warsaw, Krakow, Wroclaw, Poznan, Gdansk and other large cities, 16 voivodeship pages and 274 brand pages, from McDonald's and KFC to Carrefour and Auchan. The location directory is the best map of coverage: in September 2026 it listed more than 1,300 towns and about 1,800 postcodes with a count of places for each - 2,554 for Warsaw, 1,306 for Krakow, 1,112 for Wroclaw, 896 for Poznan - down to 332 localities with a single place. The homepage currently advertises 14,000 places to choose from. Pyszne.pl in English is a full second storefront, and many restaurants publish their menus in both languages.
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Most of what a Pyszne.pl basket costs sits outside the dish price. On the Praga list for postcode 03-450, which held about 540 places in September 2026, the most common Pyszne.pl delivery fee was PLN 11.99, 29 places were free and the top was PLN 49; the Pyszne.pl minimum order sat at PLN 40 or 45 for almost half the list, and 82 places used two fee bands, nearly all free above a basket of PLN 60 to 450. A Pyszne.pl service fee can come on top at checkout.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed web scraping agency, not a tool you configure. We build the collectors, run them on your schedule, monitor them and fix them when a list, a label or a menu field moves, so what you keep is a Pyszne.pl dataset with stable columns rather than code. A sample comes first, so you can hold its prices, fees and deal tags against live restaurant pages before anything is scheduled. Every row carries the postcode and the capture time. We have no affiliation with Pyszne.pl or Just Eat Takeaway.com.
Yes. The ScrapeIt Pyszne.pl API returns postcode lists and restaurant records as JSON: restaurant ID, name, chain, address and postcode, cuisines, rating and review count, delivery time, delivery fee bands, minimum order, deal and stamp card tags, the Delivered by Pyszne.pl label and opening hours, plus full menus with categories, sizes, option groups, prices in zloty, deposits and Lowest price notes. It runs on your schedule, from hourly deal checks to weekly menu passes, and every delivery is also available as CSV and XLSX.
All of Poland, from Warsaw and Krakow to villages with a single listed place, but the site lists restaurants per postcode rather than per city. So we scrape it postcode by postcode: we take towns and postcodes from its location directory, choose enough codes to cover every district of a city, and store the postcode and capture time on every row. A place that delivers to many codes becomes one record with the codes it serves, and the city and voivodeship pages act as a completeness check.
Three facts show on their public pages. Reach: the Pyszne.pl location directory lists more than 1,300 towns, while Glovo's Poland city map has about 175 cities and Wolt's Poland page 24 cities and areas. Delivery: many Pyszne.pl restaurants use their own drivers and the Delivered by Pyszne.pl label marks the rest, while Wolt tells Polish merchants it handles delivery itself. Membership, the clearest Pyszne.pl vs Wolt contrast: Pyszne.pl+ is a one-off 90-day pass, Wolt+ a monthly subscription at PLN 12.99.
Deals, open status and delivery times are the volatile fields, so we check them daily or hourly; late in the evening most places on a Warsaw list show as closed, and a lunch pass and a dinner pass tell different stories. Menus and prices suit a weekly pass, with Lowest price lines flagging recent cuts. Fees are read per postcode, since one restaurant quotes different fees to different codes. Output comes as CSV, JSON, XLSX, a Google Sheet or a database load, as full snapshots or change-only deltas.
We collect only publicly available data - everything a visitor can see on Pyszne.pl - and we collect it legally. No logins, no paywalls: postcode lists, restaurant pages and menus open without an account, and that is the whole source. Baskets, checkout and order tracking stay out of scope, reviewer names and courier details are never collected, and anything personal that turns up in a record is handled under GDPR.
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Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
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