Showing 4 open source projects for "php without database"

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  • 1
    Scweet

    Scweet

    Scrape tweets, profiles, followers and following from Twitter/X

    ...It is built for both local use and higher-volume runs, with support for proxies, dedicated accounts, and multi-account cookie handling to improve reliability at scale. Scweet also includes asynchronous method variants, a command-line interface, automatic credential persistence in a local database, etc.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Snoop Project

    Snoop Project

    This is the most powerful software taking into account CIS location

    ...Snoop Project is one of the most promising OSINT tools for finding nicknames. This is the most powerful software taking into account the CIS location. Is your life slideshow? Ask Snoop. Snoop project is developed without taking into account the opinions of the NSA and their friends, that is, it is available to the average user. Snoop is a research work (own database / closed bugbounty) in the field of searching and processing public data on the Internet. In terms of specialized search, Snoop is able to compete with traditional search engines.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Crawlab

    Crawlab

    Distributed web crawler admin platform for spiders management

    Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). ...
    Downloads: 7 This Week
    Last Update:
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  • 4
    Twitter Intelligence

    Twitter Intelligence

    Twitter Intelligence OSINT project performs tracking and analysis

    A project written in Python for Twitter tracking and analysis without using Twitter API. This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing.
    Downloads: 0 This Week
    Last Update:
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