Worked on something similar on a local open data hackathon before, but instead I used a scraper to parse the logos. https://github.com/c0dr/LogoParser https://

Worked on something similar on a local open data hackathon before, but instead I used a scraper to parse the logos. https://github.com/c0dr/LogoParser https://github.com/c0dr/LogoParser It worked okay for like 40% of the sites, and for the rest of the sites we used Python and scikit-learn to detect the logo from the page (threw all images of the page in the script and it returned if it was a logo or not). And this actually worked quite good, irrc over 90% of the test cases worked. https://github.com/tomsrocket/image-classification https://github.com/tomsrocket/image-classification But yeah, using Twitter as a source might also be a good idea.