Need to pull real customer feedback from Influenster at scale? I built this scraper because manually copying reviews is a pain, and generic tools often miss the specific data points that actually matter for e-commerce analysis. It grabs the essentials—Brand, SKU, reviewer info, ratings, dates, likes, and the full review text—directly from the product URLs you feed it. You get clean, structured data ready to export as CSV or JSON, perfect for dropping into your own spreadsheets or analysis scripts. I use it to track sentiment on competitor products, spot trends in what customers love or complain about, and gather authentic quotes for market research. It handles multiple URLs in one go, saving you the hassle of running everything individually. Just configure your list, run it, and you've got a tidy dataset without any of the usual formatting headaches. It's straightforward and does exactly what you need for informed decision-making.

What does this actor do?

Influenster Review Scraper 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