Norwegian Price Comparison Actor
Pricing
from $1.20 / 1,000 results
Norwegian Price Comparison Actor
Scrape prices by GTINs (EAN‑13/EAN‑8) for the Norwegian market. Get up‑to‑date lowest prices and merchant offers from leading retailers such as Elkjøp, Zalando, Komplett, POWER, Temu, Maxbo, Jernia, Sport1... Exports two formats: product summaries and merchant rows for developers and BI teams.
Pricing
from $1.20 / 1,000 results
Rating
0.0
(0)
Developer
M3Web
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
14 hours ago
Last modified
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Overview
Track product and shop prices in the Norwegian market using GTINs (EAN‑13/EAN‑8), covering major retailers such as Elkjøp, Zalando, Komplett, POWER, Temu, Maxbo, Jernia, Sport1, Intersport...
Built for eCommerce teams, marketers, and analysts who need clear, reliable price data.
No coding required — this Actor is designed to be no‑code friendly, so anyone can run it and export results without technical setup.
✨ Features
- Input: List of GTINs (8 or 13 digits, usually EAN‑13 or EAN‑8).
- Tracks the lowest price and saves product details with a timestamp for each item.
- Optionally collects all available merchant offers for competitor comparison.
- Produces:
- Default dataset → product summary with
shopdictionary of merchant prices. - Offers CSV file → one row per merchant, ready for Excel or BI analysis (download link is logged after the run).
- Default dataset → product summary with
⚙️ How it works
-
Enter GTINs (EAN‑13/EAN‑8 numbers)
Paste one or more 8‑ or 13‑digit codes. Each GTIN (EAN) identifies a product you want to track. -
Include all shop offers
Switch ON to collect all available merchant prices.
Switch OFF to save only the lowest price for each product. -
Generate Offers CSV file
Switch ON the Generate Offers CSV file input.
After scraping, the Actor saves the file!OFFERS-DATASET.csvinto the run’s Apify Key-Value Store.
At the bottom of Log, you’ll see a message with a Console link like:
📂 Offers CSV file saved to Key-Value Store: https://console.apify.com/storage/key-value-stores/<STORE_ID>
Open that page in the Apify Console and download the record!OFFERS-DATASET.csv.
The file contains merchant‑level rows for Excel/BI analysis, structured differently than the Default dataset. -
Run the Actor
It gathers product details and prices, then saves results into the default dataset and (optionally) the offers CSV file.
📊 Example Outputs
Default dataset (JSON): → product summary with shop dictionary of merchant prices.
{"ean": "0195950643589","category": "Mobiltelefoner","productId": "3431242036","name": "Apple iPhone 17, 256GB Black","lowestPrice": 11799,"currency": "NOK","outOfStock": false,"images": "https://owp.klarna.com/product/3239000223/Apple-iPhone-17-256GB-Black.jpg","productUrl": "https://www.klarna.com/no/shopping/pl/cl1/3431242036/Mobiltelefoner/Apple-iPhone-17-256GB-Black/","scrapedAt": "2026-10-01T17:45:40.544Z","shop": {"CDON": 12533,"CS_MEGASTORE": 11982,"Elkjøp": 12490,"Eplehuset": 12490,"Ice": 12490,"Komplett": 12490,"Multicom": 13710,"NetOnNet": 12490,"POWER": 12490,"Talkmore": 12490,"Telia": 11990,"Telenor.no": 12490,"homeit.no": 11799}}
Offers dataset (CSV): → merchant rows for Excel or BI analysis, created only if the checkbox is ON (direct download link is logged after the run).
| ean | merchant | price | name | category | productId |
|---|---|---|---|---|---|
| 195950643589 | CDON | 12533 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | CS_MEGASTORE | 11982 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Elkjøp | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Eplehuset | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Ice | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Komplett | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Multicom | 13710 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | NetOnNet | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | POWER | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Talkmore | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Telenor.no | 12490 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | Telia | 11990 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
| 195950643589 | homeit.no | 11799 | iPhone 17 256GB Black | Mobiltelefoner | 3431242036 |
💡 Use Cases
- Monitor prices for your product catalog.
- Compare competitors’ pricing.
- Feed BI dashboards with shop‑level data.
- Support affiliate or SEO content with verified prices.
📌 Notes
- This Actor is GTIN‑based (EAN‑13/EAN‑8) and built for the Norwegian market.
- Data is sourced from klarna.com/no/shopping/.
- Designed to respect the klarna.com robots.txt file as of 26.05.2026.
🇳🇴 Norsk versjon (Norwegian)
Oversikt
Spor produkt- og butikkpriser på det norske markedet ved hjelp av GTIN (EAN‑13/EAN‑8), inkludert store forhandlere som Elkjøp, Zalando, Komplett, POWER, Temu, Maxbo, Jernia, Sport1, Intersport...
Bygget for e‑handelsteam, markedsførere og analytikere som trenger tydelige og pålitelige prisdata.
Ingen koding nødvendig — denne Actoren er laget for å være no‑code‑vennlig, slik at alle kan kjøre den og eksportere resultater uten teknisk oppsett.
✨ Funksjoner
- Input: Liste med GTIN‑koder (8 eller 13 sifre, vanligvis EAN‑13 eller EAN‑8).
- Sporer den laveste prisen og lagrer produktdetaljer med tidsstempel for hver vare.
- Henter valgfritt alle tilgjengelige tilbud fra forhandlere for konkurrentanalyse.
- Produserer:
- Standarddatasett → produktsammendrag med
shop‑ordbok over butikkpriser. - Tilbuds‑CSV‑fil → én rad per forhandler, klar til Excel‑ eller BI‑analyse (nedlastingslenke logges etter kjøringen).
- Standarddatasett → produktsammendrag med
📌 Merknader
- Denne Actoren er GTIN‑basert (EAN‑13/EAN‑8) og bygget for det norske markedet.
- Data hentes fra klarna.com/no/shopping/.
- Utformet for å respektere klarna.com robots.txt per 26.05.2026.