Allegro Product Details Scraper
Pay $6.00 for 1,000 products
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsAllegro Product Details Scraper
Pay $6.00 for 1,000 products
The Allegro Product Details Scraper enables precise data extraction from individual product pages on allegro.pl, allegro.cz, and allegro.sk, capturing all product parameters, detailed descriptions, pricing, seller details, and customer reviews for in-depth market research and competitor analysis.
You can access the Allegro Product Details Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "searchUrls": ["https://allegro.pl/oferta/halogen-reflektor-naswietlacz-led-50w-4500k-slim-zewnetrzny-wodoodporny-7650689262"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("piotrv1001/allegro-product-details-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startAllegro Product Details Scraper API in Python
The Apify API client for Python is the official library that allows you to use Allegro Product Details Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Piotr VassevActor Metrics
7 monthly users
-
1 bookmark
>99% runs succeeded
Created in Feb 2025
Modified 3 days ago
