所有软件外包项目 Gray arrow bg Tagboard auto tagging script

Tagboard auto tagging script 资金已经托管 线上项目,线下洽谈,智城安排

发包方 : Ann major 接包方 : Benversluis 状态 :完成
项目编号 : 95672
项目预算 : $1,000-5,000
开发周期 : 7 天
技能 : MySQL
发布日期 : 2010-01-20

描述

I want an application for tagboard spamming script for cbox.ws & shoutmix tagboards.

Before bidding, please ensure that you are able to inject data into tagboards using a script remotely (meaning you do not have to go to the website to be able to post into the tagboard).

This system requires user accounts, meaning each account will have their own set of adverts to post, which will be created by us. These messages can be programmed to be timed in a series of timing.

EG: Advertisement 1 is set to be posted to 300 tagboards at 8pm.
Each advertisement setup specifies:
• No of unique tags per spam
• Time to tag based on the hour specified, it can be any hour, setup for time to tag can be multiple times per day.
• Message to tag
• Report to be sent to the email specified, users can see what are the tags posted. (either web-based reporting / email reporting)
• Specify validity of advertising (set up expiry date of advertising)
• The software must support Chinese characters and special characters like heart & star shapes

Database: MySQL DB.

Any other features recommended would be open to ideas.
Administrative functions would be required too, to track customers and revenue to date. Customers can also login to see their own account information, and purchase credits to advertise per hour slot.

Another option is where users will purchase this software from us to do their own tagging. There will be a database of URLs where the spamming will take place.

• Start/ stop spamming at a click of a button
• Reports on blogs tagged successfully
• Own database of blog addresses (by Excel)
• Option to shut down after tag is successful
• Expiry date of software
• Able to state start time of tagging
• Able to change the message to tag, based on a credit system
• The client should not be extensive on memory such that it requires minimum 2GB RAM.

Any further suggestions on the software are welcome.

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