Twitter Program (Automatic Read & Monitor Twitter Handle and Respond based on specific Tweet Format) - repost

This project received 3 bids from talented freelancers with an average bid price of $208 USD.

Get free quotes for a project like this
Employer working
Project Budget
Total Bids
Project Description

Looking to get this done fast - 3-8 days.

Program specification: (Could be client or mobile based)

1. Monitor a specific group of twitter handles (i.e. nikeboston, nikeroosvelt, etc) for structured messages
2. Upon a specific tweet from targeted handle, send a FORMATED direct message back to the handle

A. The DM's sent must be able to attach the specific hashtag sourced from the tweet posted and formatted as #specifichastag.
B. Must attach and direct message source twitter handle with hashtag and pre-entered/formated data containing 3 dimensions. Example #hastag, FirstName, LastName, size

App Features
App should be able to include multiple names and shoe sizess and once a target twitter account post's an RSVP tweet, the software will immediately send direct messages, each from multiple twitter account, in the specific format, with the random hashtag.
Speed is a priority, direct messages should be sent within 0-5 seconds from when the tweet is posted.
Program to work on ms WINDOWS, MAC OS LION 10.7.5

Use Case:
Example of the situation: A Nike Account User will post a tweet similar to this "Twitter #RSVP is now open for the Air Jordan 8 in sizes 7-12, 13, 14. #AJ8; Once the user posts this tweet, I want to construct an app that will automatically send a Direct Message to that same user containing some pre written text as well as the random hashtag, which in the example is #AJ8. An entire example of the complete direct message I need to send back in response to the user is " #AJ8, Jon Doe, Size 10,;

For fast delivery willing to pay more

Looking to make some money?

  • Set your budget and the timeframe
  • Outline your proposal
  • Get paid for your work

Hire Freelancers who also bid on this project

    • Forbes
    • The New York Times
    • Time
    • Wall Street Journal
    • Times Online