pynapplepy's starred repositories
hummingbot
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
The-Collection
Collection of cracked malware, and ebooks
atom-bombing
Brand New Code Injection for Windows
vector-exploit
Exploit repository
BlankCrowd
A project aiming to develop an harmless botnet able to automaticaly authenticate its kind and share data in a P2P fashion.
iworm.Universe
I-Worm.Universe by Benny/29A
arachnode.net
arachnode.net
WebVideoBot
Web crawler.
ebot
Ebot, an Opensource Web Crawler built on top of a nosql database (apache couchdb, riak), AMQP database (rabbitmq), webmachine and mochiweb. Ebot is written in Erlang and it is a very scalable, distribuited and highly configurable web cawler. See wiki pages for more details
domain-crawler
Domain cralwer for various sites/databases
fundholdings
Python web crawler to pull fund holdings from the SEC EDGAR database
dhtcrawler2
dhtcrawler is a DHT crawler written in erlang. It can join a DHT network and crawl many P2P torrents. The program save all torrent info into database and provide an http interface to search a torrent by a keyword
od-database-crawler
OD-Database Go crawler
DeepWebCrawler
Python crawler for the Deep Web
deepweb-crawler
深网爬虫工具+爬虫算法demo
DeepWebCrawler
爬虫相关的框架、组件、关键技术以及针对儿童教育相关内容的具体应用。
od-database
Distributed crawler, database and web frontend for public directories indexing
Smart-two-stage-crawler-for-harvesting-deepweb-interfaces
Deep web is termed as data present on web but inaccessible to search engine. This data must be accessed through HTML forms filling manually and get access to the deep web i.e. forms. To access deep web data automatically we need to understand search interfaces. The deep web grows at very fast pace and it is always different to manage such data and to give it for deep web crawling. Smart crawler for hidden web interfaces consist of mainly two stages first is site locating another is insite exploring. Site locating starts from seed sites and obtains relevant websites through reverse searching and obtains relevant sites through feature space of URL, anchor and text around URL. Second stage takes input from site locating and goes to find relevant link from those sites. The adaptive link learner is used to find out relevant links with help of link priority and link rank. Proposed system is contributing the searching query as per-query and post-query to obtain wider coverage is obtained through DFS and SCFS classifier.
deepweb-scappering
Discover hidden deepweb pages
ultimate-netstalking-guide
Гайд по нетсталкингу
osint-notes
Good info about DeepWeb and OSINT