machinepack-twitter
Advanced tools
Communicate with the Twitter API to get profile data, tweets, followers, and more.
machinepack-twitter
Communicate with the Twitter API to get profile data, tweets, followers, and more.
$ npm install machinepack-twitter
For the latest usage documentation, version information, and test status of this module, see http://node-machine.org/machinepack-twitter. The generated manpages for each machine contain a complete reference of all expected inputs, possible exit states, and example return values. If you need more help, or find a bug, jump into Gitter or leave a message in the project newsgroup.
This is a machinepack, an NPM module which exposes a set of related Node.js machines according to the machinepack specification. Documentation pages for the machines contained in this module (as well as all other NPM-hosted machines for Node.js) are automatically generated and kept up-to-date on the public registry. Learn more at http://node-machine.org/implementing/FAQ.
MIT © 2015, 2017 Irl Nathan and contributors
FAQs
Communicate with the Twitter API to get profile data, tweets, followers, and more.
We found that machinepack-twitter demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 5 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.