Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • Nodes
  • Twitter Users
NodeNode / Manipulator

Twitter Users

Social Media Twitter API Streamable
Drag & drop
Like
Copy short link

Looks up user data over Twitter's API.

Twitter API accepts a determined amount of requests in a 15 minute windows. For more details see API Rate Limits and Rate Limits: Chart . The amount of request is limited to 180 (user authentication) or 60 (application authentication), respectively. See GET users/lookup .

Node details

Input ports
  1. Type: Twitter
    Twitter API Connection
    Connection to Twitter's API.
  2. Type: Table
    Table
    Table containing screen names or IDs of twitter users.
Output ports
  1. Type: Table
    Search results
    Input table with added information about the twitter users.

Extension

The Twitter Users node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
    Twitter Data Analysis
    Twitter NLP Text processing
    +4
    This workflow examines a sample of tweets from the days surrounding the scottisch referen…
    knime > Examples > 50_Applications > 19_TwitterAnalysis > 02_Analyzing_Twitter_Data
  2. Go to item
    Twitter Data Analysis
    Twitter NLP Text processing
    +4
    This workflow examines a sample of tweets from the days surrounding the scottisch referen…
    sli36 > Public > 02_Analyzing_Twitter_Data
  3. Go to item
    Twitter Data Analysis
    Twitter NLP Text processing
    +4
    This workflow examines a sample of tweets from the days surrounding the scottisch referen…
    etayaa > Public > HACKATHON > 02_Analyzing_Twitter_Data
  4. Go to item
    challenge_team11_focuson2projects
    After analyzing tweets on NFTs in general, we wanted to analyze what type of users are (r…
    team11 > Public > challenge_team11_focuson2projects
  5. Go to item
    TweetKollidR
    Twitter Visualisation Network
    +2
    A workflow to collect and visualise data from Twitter. Using the Twitter API, this workfl…
    angusveitch > Public > TweetKollidR
  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits