Skip to main content

Library for scraping the top names in the United States.

Project description

top-names

Program to scrape from the most common first names (male and female) in the United States from the decades 1880s-2010s. Please note that these names are not guaranteed to be unique. Data provided by the Social Security Admnistration. If you do not want to run the program, you can view the results as of November 25th, 2021 in output.txt.

Getting Started

Installing

Simply run python3 setup.py install to install the package.

Usage

After installing, you should use the top_names.name_list.NameList class. This is a wrapper class of a list that is generated dynamically by the top_names.name_scraper.NameScraper class. Initially, the list is empty, but when trying to retrieve data from the list, it will be populated.

Running

You can run the module itself using python3 -m top_names. By default, this will output to stdout. You can specify a file to write to using the -o option. You may also see debug information with the --debug flag.

Requirements

Project built with Python 3.8.10. For modules, please read requirements.txt.

Data Source

Data scraped from the United States Social Security Administration through their Popular Baby Names by Decade form.

Authors

  • Will Ciesialka

License

This project is licensed under the MIT License. For more details, please see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

top_names-1.2.0.tar.gz (4.9 kB view hashes)

Uploaded Source

Built Distribution

top_names-1.2.0-py3-none-any.whl (6.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page