Tire Reviews Web Scraping

We are looking for a freelancer with experience in web scraping (preferably using Apify) to collect and structure tire reviews at a brand level.

https://www.loom.com/share/25fc7d6e29684e29b3053496dddd7f5b

The goal is to collect approximately 100 reviews per brand across ~200 tire brands (around 20,000 total reviews).

Scope of work:

Identify 3–5 relevant tire product pages per brand (prefer products with existing reviews)
Use Apify or similar tools to extract ~20 reviews per product
Run scraping efficiently in batches
Deliver a clean and structured dataset

Sources may include:

Walmart
Amazon

Each review should include:

Brand
Product title
Product URL
Source
Reviewer name (if available)
Rating (stars)
Review title (if available)
Review text
Review date (if available)

Data quality requirements:

Remove duplicates
Exclude non-tire products
Exclude empty or irrelevant reviews
Ensure consistent formatting

Deliverable:

Final dataset in CSV or Excel format
Clean, structured, and ready for analysis

We are looking for someone who:

Has experience with Apify or similar scraping tools
Understands how to scrape dynamic websites (Amazon, Walmart)
Can work efficiently with large datasets
Can deliver clean, high-quality data (not raw dumps)