Gathering data of likes on Tinder within the past 7 days

Last update: Jan 05, 2023

Overview

tinder_likes_data

Gathering data of Likes Sent on Tinder within the past 7 days.

Versions

November 25th, 2021 - Functionality to get the name and age of all of the profiles from Likes Sent.
November 27th, 2021 - Added functionality to download the profile picture (i.e., the main picture) from each profile from Likes Sent.

Non-Python Requirements

Tinder Platinum.
Google Chrome running on localhost. See this video for details.

Output

Excel workbook

Saved jpgs

Basic Data Analysis from Output data of `2,169` likes

Owner

Alex Carter

GitHub Repository

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Gathering data of likes on Tinder within the past 7 days

Related tags

Overview

tinder_likes_data

Versions

Non-Python Requirements

Output

Excel workbook

Saved jpgs

Basic Data Analysis from Output data of `2,169` likes

Owner

Alex Carter

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Gathering data of likes on Tinder within the past 7 days

Related tags

Overview

tinder_likes_data

Versions

Non-Python Requirements

Output

Excel workbook

Saved jpgs

Basic Data Analysis from Output data of 2,169 likes

Owner

Alex Carter

A collection of robust and fast processing tools for parsing and analyzing web archive data.

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Pandas and Spark DataFrame comparison for humans

Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

Flexible HDF5 saving/loading and other data science tools from the University of Chicago

Exploratory data analysis

Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day.

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors

Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List.

PyClustering is a Python, C++ data mining library.

Binance Kline Data With Python

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences

Random dataframe and database table generator

An Integrated Experimental Platform for time series data anomaly detection.

bigdata_analyse 大数据分析项目

scikit-survival is a Python module for survival analysis built on top of scikit-learn.

Toolchest provides APIs for scientific and bioinformatic data analysis.

Data pipelines built with polars

Synthetic Data Generation for tabular, relational and time series data.

A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.

Basic Data Analysis from Output data of `2,169` likes