Search Results for "python database project source code download"

Showing 7 open source projects for "python database project source code download"

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  • 1
    Snoop Project

    Snoop Project

    This is the most powerful software taking into account CIS location

    Snoop is an open data intelligence tool (OSINT world). 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...
    Downloads: 8 This Week
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  • 2
    Trafilatura

    Trafilatura

    Python & command-line tool to gather text on the Web

    Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text-processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats. Going from raw HTML to essential parts can alleviate many problems related to text quality, first by...
    Downloads: 0 This Week
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  • 3
    Gerapy

    Gerapy

    Distributed Crawler Management Framework Based on Scrapy

    Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t...
    Downloads: 0 This Week
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  • 4
    Scrapyd

    Scrapyd

    A service daemon to run Scrapy spiders

    Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an...
    Downloads: 0 This Week
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  • 5
    django-dynamic-scraper

    django-dynamic-scraper

    Creating Scrapy scrapers via the Django admin interface

    Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. Since it simplifies things DDS is not usable for all kinds of scrapers, but...
    Downloads: 0 This Week
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  • 6
    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. User, hashtag, and location analyzes are performed. You must write...
    Downloads: 0 This Week
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  • 7
    pyspider

    pyspider

    A powerful Spider(Web Crawler) system in Python

    pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and...
    Downloads: 0 This Week
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