Trusted Shops Reviews Scraper (Pay-per-event)
by bucil
Extract Trusted Shops reviews, including ratings, dates, and text. Export to JSON, CSV, or Excel for easy analysis. Pay only for what you scrape.
Opens on Apify.com
About Trusted Shops Reviews Scraper (Pay-per-event)
Need to pull reviews from Trusted Shops for a project? This scraper is what I use. It's built to handle the job cleanly, letting you gather exactly what you need: the full review text, when it was posted, direct links back to the source, the star ratings, and some basic details about the reviewer. Once you've got the data, you can pull it down in JSON, CSV, or Excel. I usually go for CSV to pop it straight into a spreadsheet for sorting and analysis. It's perfect for when you're comparing seller reputations, tracking customer sentiment over time, or building a dataset for a research project. The pay-per-event model is great because you only run it when you have a specific list of shops to check, so you're not locked into a subscription. Just plug in the shop URLs you need, let it run, and get your structured data without dealing with the manual copy-paste hassle.
What does this actor do?
Trusted Shops Reviews Scraper (Pay-per-event) 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
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Trusted Shops Reviews Scraper (Pay-per-event)
Overview
This is an Apify Actor built with Crawlee and CheerioCrawler to scrape review data from Trusted Shops. It's a JavaScript-based scraper that parses HTML using Cheerio, designed for e-commerce and social media data extraction.
Key Features
- Built on Apify SDK and Crawlee for reliable web scraping.
- Uses CheerioCrawler for fast HTML parsing without a browser.
- Includes input schema for validating run parameters.
- Stores structured results in an Apify Dataset.
- Pay-per-event pricing model.
How It Works
The Actor starts scraping from URLs provided in startUrls. For each page, it uses Cheerio to parse the HTML and extract review data. The number of pages crawled can be limited using maxPagesPerCrawl. Extracted data is saved to a dataset and logged during the run.
Input/Output
Input Configuration (via input schema):
- startUrls: Array of URLs to scrape.
- maxPagesPerCrawl: (Optional) Limit total pages scraped.
Output:
The Actor outputs structured data to an Apify Dataset. Each item typically includes:
- Review text
- Rating
- Author
- Date
- Product/service details
- Page URL
Usage
Run locally:
apify run
Deploy to Apify:
1. Log in with your API token:
apify login
- Push the Actor:
apify push
Alternatively, connect a Git repository directly from the Actor creation page.
Resources
- Apify SDK for JavaScript documentation
- Crawlee documentation
- Apify Platform documentation
- Join our developer community on Discord
For detailed tutorials on building Cheerio scrapers, see the original README.
Categories
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 Trusted Shops Reviews Scraper (Pay-per-event) now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- bucil
- Pricing
- Paid
- Total Runs
- 179
- Active Users
- 14
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