Tool/Method to find users on Twitter from a CSV file

[Motava]

I'm attempting to find users to follow and receive reciprocal follows for a client on twitter.

Through the company's newsletter database, I have a CSV file of somewhere in the range of 20,000 email addresses and names.

I've been importing them 250 at a time into an empty Gmail account then connecting that with twitter each time to find some of them.

However, a lot of the PEOPLE using the email addresses on the mailing list are not on twitter but their COMPANY is. To find the company, I can obviously drop the name@ part of the email and just search by the domain but this becomes tedious real quick since it has to be one by one and cannot be bulk imported/searched.

Are there any tools/ideas out there to more easily find twitter users based on a larger set of keywords and/or domain names?

[Motava]

Hi Keri,

No luck with any other tools, unfortunately. It's still something on the to-do list.

Ryan's comment is helpful but still a lot of manual work involved unfortunately.

• Victor

[KeriMorgret]

Hi Motava,

I'm following up on older questions. Did you find a tool for this? Can you share anything with us for others looking for a similar answer?

[RyanPurkey]

Since you're looking for users and not necessarily tweets, you can scrape the company names you're interested in via a spreadsheet, and then append this URL to each unique name: http://twitter.com/#!/search/users/

Just getting rid of duplicate company names should cut down the list some, but it's still going to be a tedious process.  At least with the spreadsheet you can add further columns to prioritize your work and go after the companies that are most applicable.

To cut the tedium, Mechanical Turk could then process the results for you fairly quickly.