Diffbot provides a universal database of structured information by utilizing advanced web crawling and natural language processing to transform unstructured web content into actionable data. This enables businesses to access and analyze vast amounts of information, including organizations, news articles, retail products, and discussions, enhancing their applications with reliable and up-to-date insights.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TFounders
Product
Problem
Accessing structured data from the web is challenging due to the unstructured nature of websites and the need for sophisticated crawling and natural language processing techniques. Extracting specific information like product details, news articles, or company data requires significant effort and expertise.
Solution
Diffbot provides a platform that transforms unstructured web content into structured, actionable data. By employing advanced web crawling and natural language processing, Diffbot extracts and organizes information from billions of web pages into a comprehensive knowledge graph. This allows businesses to access and analyze vast amounts of data, including organizations, news articles, retail products, discussions, and events, without needing to build and maintain their own web scraping infrastructure. The platform offers various tools for searching, enhancing, extracting, and crawling web data, enabling users to integrate reliable and up-to-date insights into their applications and workflows.
Target Audience
Diffbot's primary customers are businesses in finance, consumer goods, news, and risk management that require structured web data for AI applications, data enrichment, and competitive analysis.
Features
- Knowledge Graph Search: Find and build accurate data feeds of news, organizations, and people.
- Knowledge Graph Enhance: Enrich existing datasets of people and accounts.
- Natural Language Processing: Infer entities, relationships, and sentiment from raw text.
- Extract API: Analyze articles, products, discussions, and more without custom rules.
- Crawl API: Turn any site into a structured database of products, articles, and discussions.
- Organization Data: Access over 246M companies and non-profits with 50+ data fields.
- News & Articles Data: Extract entity matching, topic-level sentiment from over 1.6B articles.
- Retail Products Data: Access 3M+ pre-crawled retail products with 20+ data fields.
- Discussions Data: Extract insights from forums and reviews with entity matching and sentiment analysis.
- Events Data: Access complete descriptions and normalized start and end date times for over 23k events.