🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-15 🟢

🔹 Web Scraping Tire Reviews
👤 Client: 🇺🇸 Las vegas, United States Member since 2019-04-02
💰 Price: $397 Average bid
🚩 Problem: Collect and structure tire reviews from multiple e-commerce platforms.
📦 Existing: Not specified

Specifications:

[Target] Identify relevant product pages with existing reviews for ~200 tire brands.
[Method] Use Apify or similar tools to scrape approximately 20 reviews per product page, aiming for a total of around 20,000 reviews.
[UI/UX] Not applicable
[Stack] Apify, Python (Scrapy), BeautifulSoup, Pandas
[Security] Ensure data privacy and compliance with scraping policies. Use secure storage methods for datasets.
[Format] Deliver final dataset in CSV or Excel format

Workflow:

1. Research and identify 3–5 relevant product pages per brand on Walmart and Amazon.
2. Set up Apify actors to scrape reviews, ensuring efficient batch processing.
3. Extract required fields: Brand, Product title, Product URL, Source, Reviewer name (if available), Rating (stars), Review title (if available), Review text, Review date (if available).
4. Clean and structure the dataset by removing duplicates, non-tire products, and irrelevant reviews.
5. Ensure consistent formatting of the data.
6. Deliver final clean, structured dataset in CSV or Excel format.