DIFFBOT
Introduction
There has been an enormous amount of unstructured data found on the web, and it is increasing at a mind-blowing rate. Therefore, many information techniques have been developed in response to this problem. These techniques were developed to automatically extract information from unstructured texts, and to populate knowledge bases. However, experts have tried many times in vain to extract relevant information and content from web pages.
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Web Scraping
Web or data scraping is a collection of techniques that ranges from manual techniques carried out by humans to automated techniques used to extract information from web pages on the internet. Scraping is not limited to websites only and can be used on a local machine or local database. Scraping can be done manually or automatically, but it is better and faster when done automatically because it will be less prone to mistakes and errors especially when large amounts of documents are involved.
There are several ways data or information can be displayed online, considering the fact that most data or text on the internet are unstructured or classified into organized content. Hence the need for web scraping techniques to facilitate the process of displaying the unstructured information through conversion to tabular data.
Web Crawling
Web or data crawling started as a movement that was more about ‘mapping out the internet,’ which involved finding out about each website structure and all the ways they are connected. This technique is majorly used by search engines such as Google or Bing to index all the pages to facilitate search and access at a later date. It can also be used to find security flaws and automate website maintenance tasks.
Knowledge Graphs
Knowledge graphs are a network or collection of real-world entities and the relationship between them which is organized and arranged as a graph. It is different from a knowledge base or a classic database of entities because the relationship between the data is just as important as the data itself, and this is why it is arranged in a graph pattern.
All knowledge graphs are primarily a knowledge base. Being able to see how all entities are and are not connected adds a whole new level of value to the data. The graph pattern makes it flexible when new types of entities or data are introduced. It is also a mathematical graph, and this opens the way for several techniques and algorithms related to graphs to be applied to knowledge graphs.
Knowledge Graph Technologies
Diffbot
Diffbot is a private company that focuses on the internet industry and has its headquarters in California. The company was founded by Michael Tung on Stanford University Campus as a startup in 2008. The goal of the company was to remodel web data extraction and make it easily accessible to everyone. The development of this company began when Tung dropped out of Stanford grad school to source funds. Later, he got funding from Stanford Venture Capital Fund called StartX. The availability of the funding made it possible for Tung to focus on Diffbot, and enable him to launch the first products based on Diffbot which generated revenue where companies paid a small amount for each URL that was processed.
Even though bigger AI industry giants such as Google have access to large amounts of data that are organized and tabbed by their data entry employees to present them in a language that can be manipulated and understood by AI software, smaller AI industries do not have access to these enormous amounts of data. Hence, Diffbot developed a ‘true knowledge graph’ called Diffbot Knowledge Graph with the aim of designing and building the ‘world’s largest database of structured knowledge,’ using AI, machine learning, and natural language.
Diffbot as a Technology
Diffbot data extraction is equipped with a comprehensive KG containing precise and detailed information about different entities found 23 on the web such as people and places. Developers can easily and precisely query this KG to bring out whatever data they need. Additionally, Diffbot identifies the connection between information and entities, which makes it easier for users to understand the data delivered by the software and use it to achieve their goals.
Diffbot product is a set of APIs that enables users to generate specific types of structured data from the web. The APIs help in the analysis of the page type, extraction of all the elements of an article, product, or discussion thread, and provide data about images and videos.
Why use Diffbot
With Diffbot, users will be able to comprehend the webpage structure even if it is not explicitly marked up. This is because machine learning algorithms that are trained on a large dataset of web pages are used. Also, these algorithms identify patterns in layout and webpages contents, and the information gotten is used in the extraction of structured data.
A key feature of Diffbot’s technology is that it can be used for content aggregation. By utilizing the Article API, users can extract the main text, images, and videos from blog posts, news articles, and other types of content. The data extracted can then be used to create a news aggregator, a personalized news feed, or a content curation platform. In addition, the Article API can be used in the extraction of data from other sources other than news articles such as FAQS and product pages.
It can also be used for e-commerce through the use of Product API which can extract structured data such as the product name, price, availability, and reviews from the product pages. The extracted data can be used to develop e-commerce applications. Also, data can be extracted from product catalogs and lists.
Diffbot consists of Crawlbot API which enables users to crawl and extract data from a whole website or a specific set of web pages. Crawlbot API is used to build data mining tools, web scraping applications, and web monitoring systems. Furthermore, the API can also be used in the extraction of data from sites that are not easily accessible. For example, sites that need to use CAPTCHAs or log in details.
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Features of Diffbot
Data Extraction
Document extraction.
Disparate data collection.
Image extraction.
IP address extraction.
Email address extraction.
Phone number extraction.
Web data extraction.
Pricing extraction.
Data Mining
Data extraction and visualization.
Machine learning.
Semantic search.
Lead Generation
Contact discovery.
Contact import and export.
Lead capture.
Lead segmentation.
Pipeline management.
Prospecting tools.
Sourcing
Collaboration.
Auction and budget management.
Global sourcing management.
Supplier management and qualification.
Rfx management.
Supplier risk management.
Supplier web portal.
How to Use Diffbot
- Sign up for a Diffbot account to obtain an API token.
- Decide on what type of Diffbot API you want to use (e.g. Image, Article, Product, etc.)
- Make a request to the appropriate API endpoint, and this request should include your API token and the URL of the webpage you want to extract the information.
- Then, Diffbot will analyze the webpage and extract the important information based on the type of API selected. The information will be received in JSON format.
- The information extracted can be used in whatever way you dim fit, such as using for data analysis or displaying it on a website.
- Also, you will have to do some additional processing on the extracted information before you use it.
Benefits of Using Diffbot
- Accuracy; advanced machine learning algorithms are usually used and this makes it easier to understand the structure of webpages and data extraction which provides high accuracy.
- Ease of Use; Diffbot uses a simple API that can be integrated into several applications and programming languages.
- Automated Data Extraction; data can be extracted from web pages without the need for manual scraping. Automated data extraction saves time and energy. It also provides several plans with large-scale data extraction features that can be used for large-scale data scraping operations.
- Customizable; with Diffbot, you can customize the data extraction process based on your specific needs.
- Multiple Languages and Platforms; Diffbot supports several languages and platforms such as JavaScript, HTML, and JSON, and this makes the company versatile and flexible.
Diffbot Limitations or Challenges
- Language Support; Diffbot’s automatic extraction feature may not support all websites, especially the ones not written in English.
- Costs; the services provided by Diffbot are not free, and the pricing can be quite expensive for large-scale data collection projects.
- Rigidity; it has limited flexibility. This means that the automatic extraction feature of Diffbot can extract certain types of data, but might not be able to extract all the data needed. Hence, you might need to use the APIs for the extraction.
- Support for static websites; Diffbot supports static websites more and might not be able to work well with dynamic websites which use a lot of AJAX or JavaScript or other dynamic elements.
- Dependence on the structure of the website; Diffbot extraction process relies so much on the website structure and if the structure changes, Diffbot might not be able to work properly with the website again.
- Insufficient Customizability; Diffbot has several limitations when it comes to customizing the extraction process even though it allows developers to define specific selectors in the extraction process.
- Privacy; there can be privacy concerns because scraping data from websites without permission may violate the site’s terms of service which can lead to legal action. Therefore, ensure that you have the necessary permissions to scrape data from a website before you make use of Diffbot.
- Internet Connection; Diffbot depends on the internet connection, and may not be able to scrape data from websites if the internet connection is poor or not available.
- Insufficient Data Storage; users who intend to extract and store large amounts of data might not be able to do so because Diffbot limits the amount of data that can be extracted and stored.
- Handling Cookies and Login Requirements; Diffbot might find it difficult to extract data from pages that require login credentials or cookies to access certain web pages.
- Handling CAPTCHAs; Diffbot might not be able to extract data from some websites, especially those that use CAPTCHAs. This is because CAPTCHAs are used to prevent automated scraping.
How safe is Diffbot?
Generally, Diffbot is a safe tool when used legally and responsibly. However, you need to be aware of the fact that scraping data from malicious websites can put your computer at risk of malware. So, only scrape data from websites that you trust. Also, scraped data can be misused if it falls into the wrong hands if not stored and used securely.
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Conclusion
Overall, Diffbot is a technology company that offers APIs that use machine learning, and computer vision algorithms to analyze web pages and extract structured data such as text, images, videos, and product information. The data can be used to create a knowledge base for market research, content aggregation, and e-commerce. This means that the company provides knowledge as a service for intelligent applications. The aim of this company is to create an independent system that can read and understand all the documents present on the public web. It provides tools that allow the users to run automated extractions on individual web pages, and sites, or search across the entire web.
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