Search Results for "text extract"

...It is a continuation and active fork of the original newspaper3k library, which had stopped receiving updates, with the goal of keeping the ecosystem maintained while adding improvements and bug fixes. It provides developers with tools to automatically download web pages, extract the main article content, and collect associated metadata such as titles, authors, images, and publication dates. Newspaper4k also includes natural language processing capabilities that can generate summaries and identify keywords from extracted article text. Newspaper4k supports both single-article extraction and full news site processing, allowing users to build sources representing entire publications and iterate through their articles. ...

weibo-crawler is a Python-based data collection tool designed to retrieve information from Sina Weibo user accounts. It automates the process of gathering posts, user profile details, and engagement metrics from one or more target accounts. weibo-crawler can extract comprehensive information about users, including profile attributes such as nickname, follower count, following count, and account metadata. It also captures detailed data about each post, including the content, publishing time,...

Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.

mzitu is a Python-based web crawling project designed to automatically download and organize image galleries from a specific photography site. It demonstrates how to build a scraper that navigates gallery pages, retrieves image links, and saves the images locally in a structured directory layout. It focuses on automating the collection of large sets of images by programmatically parsing page content and iterating through gallery entries. mzitu also includes a simple analysis script that...

uncaptcha is an open-source proof-of-concept system designed to demonstrate vulnerabilities in Google’s audio reCAPTCHA challenges by automatically solving them using speech recognition techniques. The project uses browser automation to navigate to CAPTCHA challenges, extract audio files, and process them through multiple speech-to-text services. By combining outputs from several transcription engines, the system increases the likelihood of correctly identifying the spoken digits or phrases required to solve the challenge. It employs signal processing techniques such as segmenting audio clips into individual components before transcription, which improves accuracy in noisy or complex audio conditions. ...

Automatic categorization of texts based on supplied controlled vocabularies. Is a php tool to extract terms from a text and use it to obtain keywords from a specific controlled vocabulary. Use the terminological web services provided by TemaTres.

TextMine is for the Perl hacker who is grappling with the problems of managing unstructured text from various sources. You can use these text mining tools to search the Web, index text, extract entities, categorize your e-mail, and summarize documents.

This is simple and tiny template framework module. It processing is speedy. And provides extract variables, dictionary reference and sequencial variable loop. Import a tinpy module and call the build function, so it became generate document with templat

Linx URL filter is a console filter used to retrieve and filter the text contents of web pages. Linx URL filter uses plugins to extract information like tags, links, mail addresses and scripts

MAD is acronym for \'Monitor, Analyse and Delivery\'. Project\'s goal is create some scripts for periodicall checkups for new messages in interested forums, extract it into portable text format without html-junk and annoying advertisments, etc.

HTMLScuff is a table extractor (text data only) written in C++. It can handle any depth of nested tables, and will display the tables in a clean text form so that you can choose the data you want to extract.

A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.