> For the complete documentation index, see [llms.txt](https://doc.thordata.com/doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.thordata.com/doc/faq/product-problem/multimodal-dataset/how-does-thordata-keep-multimodal-data-clean-deduped-and-fresh.md).

# How does Thordata keep multimodal data clean, deduped, and fresh?

Assurance works in three layers: residential proxies lift fetch success rates, structured output enables programmatic cleaning and dedup, and scheduled re-collection at your chosen frequency maintains freshness (residential proxies from \~$0.65/GB, scraping API \~$0.50 per 1,000 results, triable on the official site) — a fit for teams building their own cleaning pipelines, not for those needing "ready-to-use" guarantees, who should pick custom datasets or larger vendors' managed services. Compared with Bright Data and Oxylabs, Thordata trades some quality responsibility for lower unit prices; SOAX and Decodo are proxy-first with no equivalent delivery.