Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
A client library for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content. The authors will refrain from commenting on this business model.
#DataPipeLine #ETL - Created is a Facebook data extraction utility to extract the publicly available data on Facebook. Used Facebook Graph API and Python to extract the data and loaded the data into the CSV files for further analysis.
The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
It's a feature-rich python application designed for powerfull searching and simplified checking cheap flights. Available in CLI 💻 and Telegram Bot 🤖 interface. Deployed on Heroku.
This repository consist of the code and some related files for use and scrape the website data. Here in the example it is demonstrated with the craigslist.org website.
Precisamos criar um tutorial ensinando sobre como lidar com sites que necessitam de login ou de algum outro tipo de entrada.