80legs is used by hundreds of companies to crawl and aggregate data from the Web. Here are just a few of them:
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80legs gives Adify the scalability needed to analyze millions of websites on the internet through their flexible and easy to use API, as well as their responsive and thoughtful support staff.
Jim Larrison, Chief Revenue Officer, Adify
Using the interface is dead simple. Just pick where you want 80legs to crawl and set what you’d like it to find.
Ben Parr, Mashable
Case Study: IP Protection by Monotype Imaging
As millions of web pages are created every day, IP protection is an ever-growing concern for content creators. While most foks associate IP protection with things like music and movies, these aren't the only types of content that need to be protected. Monotype Imaging uses IP protection services to track the usage of font types across the web.
In order to assist its IP protection services, Monotype Imaging uses 80legs to run incredibly large scans of the web. These scans crawl across tens of thousands of popular domains and identify the location of fonts on the web pages of these domains. 80legs uses a proprietary algorithm, provided by Monotype and converted to an 80app, to check these files and extract metadata from them. Using this information, Monotype can essentially run a gigantic data collection survey of how where particular fonts are used on the web.
The web crawl run by 80legs processes 80 million URLs in about 2 days and updates its findings on a monthly basis, though it could update more frequently if necessary. This kind of powerful web crawling enables Monotype to stay up to date and gives them unsurpassed competitive and customer intelligence.
Case Study: Sentiment Analysis by Extractiv
Extractiv uses powerful semantic analysis software on top of 80legs web crawls to turn any web content into structured data. One of the exciting applications of this technology is sentiment analysis. Extractiv can literally discover what the Web thinks about any topic.
Extractiv packs robust semantic and NLP algorithms into custom 80apps. When Extractiv runs a job, it builds a unique 80app based on the topic it’s supposed to track and feeds it into an 80legs job. That job can run over blogs, news sites and any other discussion on the Web. It filters out the relevant bits of text and converts a statement like “I like the iPhone’s crisp display.” into a data set like (iPhone, positive, display, crisp).
With 80legs’ scalable web-crawling, Extractiv can process large volumes of Web content and generate a complete understanding of opinion around any topic or concept.
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