Has Anyone Used ThorData To Skip The Web Scraping Phase? Found Some Solid Structured Data For E-commerce/socials.

Recently I was working on a market research project and frankly, I was getting exhausted spending 80% of my time just maintaining web scrapers. Dealing with rotating residential proxies, CAPTCHAs, and sites constantly changing their DOM structure (looking at you, Amazon and TikTok) is a massive headache when you just want to get to the actual data analysis.

While looking for alternatives to building scrapers from scratch, I stumbled across a platform called Thordata (thordata.com/products/datasets). I spent some time digging into their docs and catalog, and it seems pretty interesting from an engineering/analytics standpoint.

While looking for alternatives to building scrapers from scratch, I stumbled across a platform called Thordata (thordata.com/products/datasets). I spent some time digging into their docs and catalog, and it seems pretty interesting from an engineering/analytics standpoint.

Basically, they handle the extraction and structuring from heavy anti-bot sites and serve it up ready to use. A few things that stood out to me:

• Coverage: They have a pretty heavy focus on e-commerce (Amazon, Walmart, Shopee) and social media (TikTok, X, Instagram). They also have B2B stuff like LinkedIn and Crunchbase.
• Delivery formats: This is what caught my eye. You can either get static datasets (good for training models or backtesting), or use their APIs to pull live data if you’re building a dashboard or tracking real-time prices/trends.
• Cleanliness: The data fields (like product specs, reviews, social metrics) are already parsed into clean JSON/CSV, so it skips the whole regex/parsing step.

For me, the main appeal is just outsourcing the infrastructure pain. Not having to manage headless browsers or pay a premium for proxy networks just to get reliable e-commerce data is a huge time saver.

Has anyone here actually used them in a production environment? I’m curious to know:

1. How is the API latency if you are using it for live feeds?
2. How quickly do they update their schemas when these big platforms push major UI/backend updates?

Would love to hear your thoughts, or if you guys have other go-to alternatives for these specific sites (aside from just building it yourself). Cheers.