| 词条 | Diffbot |
| 释义 |
| name = Diffbot | logo = | type = Private company | traded_as = | predecessor = | successor = | founder = | defunct = | fate = | area_served = Worldwide | key_people ={{plain list|
}} | industry = Internet | genre = | products = | production = | services = Web APIs, Enterprise Search, Web Scraping, Web Crawling | revenue = | operating_income = | net_income = | aum = | assets = | equity = | owner = | num_employees = | parent = | divisions = | subsid = | footnotes = | intl = | caption = | foundation = | location_city = Mountain View, California | location_country = United States | locations = | homepage = [https://www.diffbot.com/ www.diffbot.com] }}Diffbot is a developer of machine learning and computer vision algorithms and public APIs for extracting data from web pages / web scraping. The company was founded in 2008 at Stanford University and was the first company funded by StartX (then Stanford Student Enterprises), Stanford's on-campus venture capital fund.[1] The company has gained interest from its application of computer vision technology to web pages, wherein it visually parses a web page for important elements and returns them in a structured format.[2] In 2015 Diffbot announced it was working on its version of an automated "Knowledge Graph" by crawling the web and using its automatic web page extraction to build a large database of structured web data.[3] The company's products allow software developers to analyze web home pages and article pages,[4] and extract the "important information" while ignoring elements deemed not core to the primary content.[5] In August 2012 the company released its Page Classifier API, which automatically categorizes web pages into specific "page types".[6] As part of this, Diffbot analyzed 750,000 web pages shared on the social media service Twitter and revealed that photos, followed by articles and videos, are the predominant web media shared on the social network.[7] The company raised $2 million in funding in May 2012 from investors including Andy Bechtolsheim and Sky Dayton.[8] Diffbot's customers include Adobe, AOL, Cisco, DuckDuckGo, eBay, Instapaper, Microsoft, Onswipe and Springpad.[5][6][9] References1. ^{{cite web|url=https://techcrunch.com/2008/10/27/stanfords-sse-ventures-funds-diffbot |title=Stanford's SSE Ventures Funds Diffbot |publisher=TechCrunch |date=October 27, 2008 |accessdate=March 14, 2013}} 2. ^{{cite web|url=https://thenextweb.com/apps/2011/08/25/diffbot-lets-developers-navigate-code-the-way-our-eyes-see-the-world/ |title=Diffbot Lets Developers Navigate Code the Way Our Eyes See the World |publisher=TheNextWeb |date=August 25, 2011 |accessdate=April 21, 2013}} 3. ^{{cite web|url=https://www.wired.com/2015/06/startup-shares-google-knowledge-graph-clone-everyone/ |title=Startup Unleashes Its Clone of Google’s 'Knowledge Graph' |publisher=Wired |date=June 4, 2015 |accessdate=June 15, 2015}} 4. ^{{cite web|url=http://gigaom.com/2011/08/25/diffbot-helps-apps-read-the-web-like-humans/ |title=Diffbot Helps Apps Read the Web Like Humans |publisher=GigaOm |date=August 25, 2011 |accessdate=March 14, 2013}} 5. ^1 {{cite web|url=https://blogs.wsj.com/venturecapital/2012/05/31/investors-back-diffbots-visual-learning-robot-for-web-content |title=Investors Back Diffbot's Visual Learning Robot for Web Content |publisher=The Wall Street Journal |date=May 31, 2012 |accessdate=March 14, 2013}} 6. ^1 {{cite web|url=https://venturebeat.com/2012/08/16/diffbot-api-links |title=DiffBot’s new API brilliantly reveals what’s hiding behind any link |date=August 16, 2012 |accessdate=March 14, 2013}} 7. ^{{cite web|url=http://mashable.com/2012/08/16/twitter-day-in-the-life-infographic/ |title=Twitter: A Day in the Life |date=August 16, 2012 |accessdate=March 14, 2013}} 8. ^{{cite web|url=https://www.theverge.com/2012/5/31/3054444/diffbot-raises-2-million-apps-open-web |title=Diffbot raises $2 million to help apps understand the open, unstructured web |publisher=TheVerge |date=May 31, 2012 |accessdate=March 14, 2013}} 9. ^{{cite web|url=https://www.forbes.com/sites/anthonykosner/2015/06/04/diffbot-bests-googles-knowledge-graph-to-feed-the-need-for-structured-data/ |title=Diffbot Bests Google's Knowledge Graph To Feed The Need For Structured Data |date=June 4, 2015 |publisher=Forbes |accessdate=June 15, 2015}} External links
4 : Applied machine learning|Web scraping|Web crawlers|Web archiving |
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