Showing 6 open source projects for "query"

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  • 1
    Ferret

    Ferret

    Declarative web scraping

    A web scraping system aiming to simplify data extraction from the web. ferret has a declarative query language that makes it easy to focus on the data that you need to get. ferret has the ability to scrape JS rendered pages, handle all page events, and emulate user interactions. the ferret was designed as a library from the ground up. it can be easily embedded into any Go application. ferret helps you to focus on the data you need using an easy-to-learn declarative language. ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. ferret is extremely extensible, and creating custom functions and types is super easy. ferret allows users to focus on the data. ...
    Downloads: 0 This Week
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  • 2
    QueryList

    QueryList

    Progressive PHP web crawler framework with jQuery-like DOM parsing

    ...It provides a simple and expressive API that allows developers to collect structured information from HTML documents using familiar DOM traversal techniques. It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. QueryList supports common data extraction scenarios such as retrieving lists of titles, links, images, and other page elements from structured or semi-structured content. It also includes a powerful HTTP request system that enables complex operations such as simulated logins, proxy usage, and customized request headers. ...
    Downloads: 0 This Week
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  • 3
    go-dork

    go-dork

    Fast Go-based CLI scanner for running automated search engine dorks

    ...It allows users to run specialized queries, often referred to as “dorks,” to discover publicly exposed data, misconfigurations, or potentially vulnerable resources. It supports several major search engines and enables users to switch between them depending on the target or query requirements. go-dork can retrieve results from multiple pages of search results and process them sequentially for broader coverage during scans. go-dork also supports custom HTTP headers and proxy configuration, which can help users work around restrictions such as captchas or filtering mechanisms. Because it is a command-line tool, it can be integrated into automation pipelines or chained with other security tools to streamline reconnaissance workflows.
    Downloads: 5 This Week
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  • 4
    GoogleScraper

    GoogleScraper

    Python tool for scraping search engine results from many providers

    GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct HTTP requests that simulate browser traffic or controlling real browsers through automation frameworks. ...
    Downloads: 1 This Week
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  • 5
    WeChatSogou

    WeChatSogou

    Python library to crawl and retrieve data from WeChat accounts

    WechatSogou is an open source Python library designed to retrieve data from WeChat official accounts by using the Sogou WeChat search service as its data source. It provides developers with a programmatic way to search for public accounts and collect article information without manually browsing the search interface. It functions as a crawler interface that sends requests to the search engine, retrieves results, and converts the returned pages into structured data that can be used in...
    Downloads: 0 This Week
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  • 6
    sqliv

    sqliv

    Massive SQL injection vulnerability scanner for automated web testing

    SQLiv is a command-line security tool designed to identify SQL injection vulnerabilities in web applications through automated scanning techniques. Written primarily in Python, the project focuses on discovering potentially vulnerable web pages by analyzing URLs that contain database query parameters. It can perform large-scale scanning by using search engine queries known as SQL injection dorks to collect candidate websites and then test them for vulnerabilities. In addition to bulk scanning, SQLiv supports targeted analysis of specific domains or individual URLs, allowing security researchers to focus on particular web applications. ...
    Downloads: 0 This Week
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