Covering four core domains: e-commerce, social media, audio-visual content, and industry-specific data. All datasets are professionally cleaned, standardized, and quality-validated. No need to build your own crawling infrastructure or manage proxies-get ready-to-use data instantly to power AI training, market analysis, and strategic business decisions.
Trusted by 4,000+ enterprises
No more rate limits, blocks or yt-dlp failures. Just stable, petabyte-scale video data extraction for AI training
Structured real time data for market tracking, audience insights, and data driven growth
Comprehensive ecommerce datasets covering products, pricing, reviews, and stock to fuel market insights and competitive analysis.
Comment ID, content, like count, publication date, reply data and more
Real-time social media datasets capturing interactions, topics, and trends to help brands understand sentiment and audience behavior.
See Product Supply, Price Changes, and Market Competition Clearly
Combine public e-commerce data across products, prices, inventory, sellers, and reviews to build a structured foundation for retail analysis, competitor research, and market observation.
Track Brand Conversations, Audience Feedback, and Content Trends
Cover posts, engagement, topics, and audience signals to identify trend shifts, brand discussions, and audience feedback.
From short videos to long podcasts, from monolingual to multilingual, we provide structured and well-annotated multimodal audio and video data.
In the four core areas of finance, healthcare, law, and education, data annotation was conducted with the participation of field experts to ensure the professionalism and accuracy of the data.
Every record goes through rigorous compliance collection, structured parsing, deduplication, and multi-dimensional validation, delivered in standard formats to your storage.
We only collect public web data, fully adhering to GDPR, CCPA, and target platform policies.
Deeply parse HTML/API responses to automatically build normalized records.
Unify formats, remove duplicates, noise, and outliers, then standardize field values for consistency.
Automated and manual checks for completeness, coverage, freshness, and accuracy to ensure data reliability.
Deliver data to your cloud storage, data warehouse, or API endpoints in your preferred format and frequency.
Business-ready data validated for quality and regulation.
Track prices, inventory, and marketing on 120+ e-commerce platforms globally, adjusting prices as needed.
Keywords: Global coverage, dynamic pricing, competitor monitoring, consumer analysis
Analyze user behavior on social platforms to improve brand exposure and ad effectiveness.
Keywords: Public opinion monitoring, consumer insights, KOL identification, ad effectiveness
Provide multilingual and multimodal datasets to speed up AI model training and fine-tuning.
Keywords: Multimodal data, large model training, data annotation, AI implementation
Analyze financial market trends to aid investment decisions and risk management.
Keywords: Market analysis, credit assessment, risk warning, fraud detection
Standard data packs for general scenarios: schemas and fields are pre-built. After ordering, you can use them immediately-ideal for quick validation and small-to-medium scale adoption.
Data engineering for specific business/industry/training goals: customize fields, scope, filtering rules, and delivery cadence so the data fits your needs and constraints.
Thordata's dataset is a multimodal collection of text, image, and video data from various fields, designed to support AI model training and development.
Datasets are used for e-commerce monitoring, social media analysis, AI model training, financial risk control, and vertical industry research.
The dataset is typically provided in formats like CSV, JSON, NDJSON, image files (e.g., JPEG, PNG), and video files (e.g., MP4), depending on the data type.
Users can choose to fill in missing values, delete missing data, or use algorithms to handle outliers; Thordata provides relevant suggestions.
Yes, the Thordata dataset supports multiple languages, suitable for global users.
