Ulta Review Extractor
Pay $3.00 for 1,000 results
Ulta Review Extractor
Pay $3.00 for 1,000 results
Extract Ulta beauty product reviews from URLs, capturing - Author name, Review Rating, input_url, publishdate, text, title. Export organized data to CSV/JSON format.
You can access the Ulta Review Extractor 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 = { "start_urls": [{ "url": "https://www.ulta.com/p/b-goldi-bright-drops-with-niacinamide-pimprod2039887?sku=2610310" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("scrapercoder/ulta-review-extractor").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-startUlta Review Extractor API in Python
The Apify API client for Python is the official library that allows you to use Ulta Review Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
wallnut.aiActor Metrics
1 monthly user
-
0 No stars yet
>99% runs succeeded
Created in Feb 2025
Modified 4 days ago
