Ulta Review Extractor

by scrapercoder

Extract Ulta product reviews into clean CSV/JSON. Get reviewer names, ratings, dates, and full text automatically—perfect for market research and brand analysis.

284 runs
14 users
Try This Actor

Opens on Apify.com

About Ulta Review Extractor

Need to pull real customer opinions from Ulta for your beauty brand or market research? This actor is built to do exactly that. You give it Ulta product page URLs, and it goes to work extracting the review data you actually care about. It grabs the reviewer's name, their star rating, the review title and full text, and the date it was published, all while keeping track of the source URL. No more copying and pasting or dealing with messy spreadsheets. It neatly packages everything into a structured CSV or JSON file that's ready for analysis in your favorite tool. I use it to track sentiment for competitor products or gather authentic testimonials. It's straightforward, reliable, and saves hours of manual work. Just set it up, run it, and get clean data you can use to make informed decisions about product development, marketing, or customer insights.

What does this actor do?

Ulta Review Extractor is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Ulta Review Extractor

An Apify Actor built with Python and Playwright for scraping product reviews from Ulta.com. It's designed for e-commerce data automation, handling pagination and extracting structured review data into a dataset.

Key Features

  • Built on Apify SDK for Python: Provides the scaffolding for Actor development, including built-in storage and queue management.
  • Playwright Integration: Uses browser automation to reliably scrape Ulta's web pages, including JavaScript-rendered content.
  • Structured Data Output: Saves all scraped reviews into an Apify Dataset, where each item has consistent fields (like rating, text, author, date).
  • Request Queue: Manages the crawling process, efficiently handling product URLs and review pagination.
  • Input Schema: Validates run configuration (like start URLs and max pages) before execution.

Input/Output

Input (Configured via Actor input):
* startUrls: (Required) An array of URLs for Ulta product pages to scrape reviews from.
* maxReviewsPerProduct: (Optional) A limit on the number of reviews to extract per product.
* proxyConfiguration: (Optional) Apify proxy settings for the run.

Output:
The Actor stores results in an Apify Dataset. Each record is a review containing structured fields, typically including:
* productName
* rating
* reviewText
* author
* date
* reviewUrl
* ...and other relevant metadata.

Data can be retrieved via the Apify API, downloaded as JSON, CSV, or other formats, or pushed to integrations like Google Drive, Make, or Zapier.

How to Use

Running on the Apify Platform

  1. Configure the Actor input with your target Ulta product URLs and any limits.
  2. Start the run. The Actor will navigate, scrape, and store the reviews.
  3. Fetch your data from the Dataset tab of the run console.

Local Development

To modify or run the Actor locally, use the Apify CLI to pull the code:

  1. Install the Apify CLI:
    ```bash
    # Using Homebrew
    brew install apify-cli

    Using NPM

    npm -g install apify-cli
    2. Pull the Actor using its unique name or ID (found on the Actor's page in Apify Console):bash
    apify pull
    ```

Resources & Documentation

For a general guide on building Actors: see this article.

Categories

AUTOMATION ECOMMERCE

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Ulta Review Extractor now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
scrapercoder
Pricing
Paid
Total Runs
284
Active Users
14

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