Diffbot
Overview
Diffbot is a technology company that specializes in transforming the web into a structured database through its AI-powered data extraction and knowledge graph services. It offers a suite of APIs that allow businesses to extract, analyze, and enhance data from the web, turning unstructured information into structured data that can be used for various applications such as market intelligence, business development, and data analysis.
Industry: Data Extraction
Ideal Customer Profiles: Diffbot's ideal customers are businesses and organizations that require large-scale data extraction and analysis from the web. This includes companies in finance, consumer goods, news, and risk management sectors, as well as startups and enterprises looking to enhance their datasets with structured web data for applications in AI, machine learning, and business intelligence.
Website: diffbot.com
LinkedIn: http://linkedin.com/company/diffbot
Twitter: http://twitter.com/diffbot
Products
Knowledge Graph
Diffbot's Knowledge Graph is the largest in the world, containing over 10 billion entities including people, companies, products, and articles. It provides structured data with detailed provenance, allowing users to search and find linked information across the web.
Features
Comprehensive Entity Coverage
Description: The Knowledge Graph includes a vast array of entities such as people, organizations, products, and articles, providing a comprehensive dataset for users.
Benefit: Users can access a wide range of structured data for various applications, reducing the need for manual data collection.
Powerful Query Language
Description: The Diffbot Query Language (DQL) allows users to perform complex searches and filtering on the Knowledge Graph, enabling precise data retrieval.
Benefit: Users can efficiently find and analyze specific data points, enhancing their data-driven decision-making processes.
Data Enrichment
Description: The Knowledge Graph provides over 50 fields for data enrichment, allowing users to enhance their existing datasets with additional information.
Benefit: Users can improve the quality and depth of their data, leading to better insights and business outcomes.
Automated Data Extraction
Description: Diffbot's AI continuously extracts and infers data from the web, ensuring the Knowledge Graph is always up-to-date with the latest information.
Benefit: Users benefit from having access to the most current data without the need for manual updates.
Detailed Data Records
Description: Each entry in the Knowledge Graph includes detailed records with numerous fields and properties, providing comprehensive information about each entity.
Benefit: Users can gain a deeper understanding of each entity, supporting more informed analysis and decision-making.
Article Extraction API
Diffbot's Article Extraction API transforms unstructured news articles and blog posts into structured data, enabling users to automate data gathering and analysis.
Features
Entity Extraction
Description: The API extracts entities such as people, organizations, and locations from articles, providing structured data for analysis.
Benefit: Users can quickly identify key entities and relationships within articles, enhancing their ability to monitor and respond to news events.
Sentiment Analysis
Description: The API includes sentiment analysis capabilities, allowing users to gauge the sentiment of articles and discussions.
Benefit: Users can understand the tone and sentiment of content, aiding in reputation management and market analysis.
Comprehensive Data Fields
Description: The API provides detailed data fields for each article, ensuring users have access to all relevant information.
Benefit: Users can perform thorough analyses with complete data records, improving the accuracy of their insights.
Automation for Machine Learning
Description: The API automates the extraction of data for machine learning applications, reducing the need for manual data collection.
Benefit: Users can streamline their data preparation processes, allowing them to focus on model development and analysis.
Fact Extraction
Description: The API converts unstructured text into structured facts, enabling users to build structured datasets from articles.
Benefit: Users can easily create structured datasets for analysis, improving the efficiency of their data workflows.
Product Extraction API
Diffbot's Product Extraction API allows users to extract structured product data from e-commerce sites without writing custom rules, enabling the creation of comprehensive product catalogs.
Features
Rule-Free Extraction
Description: The API extracts product data from e-commerce sites without the need for custom extraction rules, simplifying the data collection process.
Benefit: Users can quickly gather product data from various sites, reducing the time and effort required for data extraction.
Structured Data Output
Description: The API returns structured datasets containing all extracted fields and attributes from product pages, providing comprehensive product information.
Benefit: Users receive complete product data in a structured format, facilitating easy integration into their systems.
Category Crawling
Description: The API can crawl entire categories of e-commerce sites to gather product inventory data, supporting competitive analysis and inventory tracking.
Benefit: Users can monitor competitor pricing and product availability, aiding in strategic decision-making.
Detailed Product Ontology
Description: The API provides a detailed ontology for each product record, ensuring users know exactly what data they are receiving.
Benefit: Users can confidently use the data for analysis, knowing they have all necessary information.
Product Catalog Creation
Description: The API supports the creation of complete product catalogs by extracting data from multiple e-commerce sites.
Benefit: Users can build comprehensive product catalogs for their business needs, enhancing their product data management.
Discussion Extraction API
Diffbot's Discussion Extraction API extracts and analyzes user discussions from forums and reviews, providing structured data and sentiment analysis for deeper insights.
Features
Structured Discussion Data
Description: The API extracts discussion data from forums and reviews, converting it into structured formats for analysis.
Benefit: Users can analyze user-generated content more effectively, gaining insights into customer opinions and trends.
Context-Specific Sentiment Analysis
Description: The API provides sentiment analysis on specific entities and topics within discussions, offering detailed insights into user opinions.
Benefit: Users can understand the sentiment around specific topics, aiding in product development and customer engagement strategies.
Comprehensive Discussion Ontology
Description: The API includes a detailed ontology for discussion records, ensuring users have access to all relevant data fields.
Benefit: Users can perform thorough analyses with complete data records, improving the accuracy of their insights.
Web-Wide Discussion Mining
Description: The API mines discussions from across the web, providing a broad dataset for analysis.
Benefit: Users can access a wide range of user-generated content, enhancing their understanding of market trends and customer feedback.
Thread-Level Sentiment Analysis
Description: The API analyzes sentiment at the thread level, providing detailed insights into user discussions.
Benefit: Users can gain a deeper understanding of user opinions and sentiments, supporting more informed decision-making.
Event Extraction API
Diffbot's Event Extraction API extracts key details from event listings across the web, providing structured data without the need for custom extraction rules.
Features
Rule-Free Event Extraction
Description: The API extracts event details from web listings without requiring custom extraction rules, simplifying the data collection process.
Benefit: Users can quickly gather event data from various sites, reducing the time and effort required for data extraction.
Detailed Event Ontology
Description: The API provides a detailed ontology for each event record, ensuring users know exactly what data they are receiving.
Benefit: Users can confidently use the data for analysis, knowing they have all necessary information.
Comprehensive Event Coverage
Description: The API mines event data from across the web, providing a broad dataset for analysis.
Benefit: Users can access a wide range of event data, enhancing their event planning and analysis capabilities.
Test Drive Capability
Description: The API offers a test drive feature, allowing users to try out the extraction capabilities before full implementation.
Benefit: Users can evaluate the API's effectiveness and suitability for their needs before committing to full use.
Integration with Diffbot Data
Description: The API integrates seamlessly with other Diffbot data products, providing a comprehensive data solution.
Benefit: Users can leverage a unified data platform for all their data extraction and analysis needs.
Quantitative Benefits
"250.7M Organizations In the Diffbot Knowledge Graph. More added weekly!"
Source: Diffbot | Organizations
"244+ Industries Represented"
Source: Diffbot | Organizations
"29.1M retailers, 18.2M hospitality companies, 7.2M software companies, and more"
Source: Diffbot | Organizations
"99.9% Employee Headcount Coverage"
Source: Diffbot | Organizations
"99.6% Revenue Coverage"
Source: Diffbot | Organizations
"87.4% Descriptor & Category Coverage"
Source: Diffbot | Organizations
"64.7% Government Classification Coverage"
Source: Diffbot | Organizations
"~46,600 software companies between 100 to 1000 employees"
Source: Diffbot | Organizations
"50 of the largest global employers of jobs in Data Science or Business Intelligence"
Source: Diffbot | Organizations
"Improving Company Data Accuracy By 50% With Zippia"
Source: Diffbot | Customer Stories
"Learn how Stephanie, data scientist at ProQuo AI, leverages Diffbot's easy to use Knowledge Graph to access over 200M organizations for predictive business development."
Source: Diffbot | Customer Stories
Testimonials
"Hear from Molham Aref, CEO of Relational AI, about how Diffbot helped their team augment their own product knowledge graph dataset with data from the entire public web."
Molham Aref, CEO at Relational AI
Source: Diffbot | Customer Stories
"Learn how Stephanie, data scientist at ProQuo AI, leverages Diffbot's easy to use Knowledge Graph to access over 200M organizations for predictive business development."
Stephanie, Data Scientist at ProQuo AI
Source: Diffbot | Customer Stories
"Learn how Javier Andrés, Head of Data Science at Zippia, identified a measurable increase in data accuracy and coverage by integrating with Diffbot's Knowledge Graph"
Javier Andrés, Head of Data Science at Zippia
Source: Diffbot | Customer Stories
"Learn how Raj Wilkhu, CTO and Co-Founder at Contingent AI, used Diffbot's millions of org and person entities to resolve entities from other data sources and increase news coverage on supply chain risk."
Raj Wilkhu, CTO and Co-Founder at Contingent AI
Source: Diffbot | Customer Stories
"An interview with Dhruv Ghulati, Founder of Factmata, on how fake news hurts advertising."
Dhruv Ghulati, Founder at Factmata
Source: Diffbot | Customer Stories
Customer Stories
Centrly
Problem: Needed market intelligence for corporate strategy and development teams
Value Add: Diffbot's external knowledge graph accelerated their product development
Outcome: Centrly was able to provide graph-powered market intelligence to their customers
Source: Diffbot | Customer Stories
Avast
Problem: Needed to develop a universal privacy score for every site on the web
Value Add: Diffbot provided automated web-scale extraction expertise
Outcome: Avast was able to ship the project in record time
Source: Diffbot | Customer Stories
Relational AI
Problem: Needed to augment their own product knowledge graph dataset
Value Add: Diffbot helped them access data from the entire public web
Outcome: Relational AI successfully built a comprehensive Product Knowledge Graph
Source: Diffbot | Customer Stories
ProQuo AI
Problem: Needed access to extensive organization data for predictive business development
Value Add: Diffbot provided easy access to over 200M organizations through their Knowledge Graph
Outcome: ProQuo AI improved their ability to predict better leads
Source: Diffbot | Customer Stories
Zippia
Problem: Needed to improve company data accuracy and coverage
Value Add: Diffbot's Knowledge Graph provided more accurate and comprehensive data
Outcome: Zippia identified a measurable increase in data accuracy by 50%
Source: Diffbot | Customer Stories
Contingent AI
Problem: Needed to improve supply chain risk insights and increase news coverage
Value Add: Diffbot provided millions of org and person entities to resolve entities from other data sources
Outcome: Contingent AI increased news coverage on supply chain risk
Source: Diffbot | Customer Stories
Factmata
Problem: Needed to address the issue of fake news hurting advertising
Value Add: Diffbot's data helped in building a better quality internet
Outcome: Factmata was able to work towards their goal of combating fake news in advertising
Source: Diffbot | Customer Stories
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