Visionet is a premier technology solutions and business process management company. We provide strategic business value to an extensive and impressive list of marquee customers across a variety of industries. Visionet delivers high-impact strategies, techniques, and technologies that help our clients compete, win, and sustain growth in a hyper-competitive, digitally disruptive market. The success of our clients and delivering value to the parties they serve is our number-one goal.

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Automation Engineer

 - I've used it in a data scraping project and it worked as expected, though it would be nice to see a simpler way for configuring it and a more structured way for the entire workflow.


 - Good idea to implement!


Some minor changes can be made in order to correct the spelling mistakes.
Examples:
"Formats Address for Exctraction"
"Intialize Address Example"
"Acquriing Street and City"


Some logical changes are welcome also.
"AddressFlow" is a flowchart but it is suitable for sequence


“If there is a comma at the end of state” - an if and an assign that can be made into a single assign:
state=if(state.EndsWith(",") or state.EndsWith("."),state.Substring(0, state.Length-1) &amp; "",)


I suggest a rethinking of the solution in order to simplify and make it easier to understand for the users. Also, using a dictionary for things like “Replaces States Names to their Intials”


58692936-ff1d-4e2c-b008-8a07ec95570d.zip

This component is very useful when parsing single or multiple USA address entries into individual fields by following the steps:Check for any special mailing addresses containing PO Boxes, Rural Routes, Apartments, or Suites.Using a Regex pattern, it validates these and stores the values for the current address.Checks if a name is associated with the address.If so, it will retrieve and move it to the final step.Retrieve the Street, State, City, and Zip Code.At the end of the current address being parsed, the following outputs will be available:<ul><li>Name</li><li>Street</li><li>State</li><li>Zip</li><li>Po-box</li><li>Suite</li><li>Apt</li><li>Rural Route</li></ul>Known Inputs:This component can parse common addresses like Street, Avenue, Boulevard, Way, Road, and Drive while also being able to parse addresses with Drachman, Dragram, and addresses with no street available.Examples:<ul><li>90 Park Ave 20th floor, New York, NY 10016, USA</li><li>10900 NE 8th St Floor 4, Bellevue, WA 98004</li><li>PO Box 453 RR66 Olathe KS 66061</li><li>Mini Mart Express 435 E Drachman Tuscon AZ 58747-8756</li><li>John Smith 300 Boylston Ave E Seattle WA 98102</li></ul>Arguments:In/Out: inOut_fullAddressOut:<ul><li>out_street</li><li>out_city</li><li>out_state</li><li>out_zip</li><li>out_pobox</li><li>out_suite</li><li>out_apt</li><li>out_RR</li><li>out_name</li></ul>

A workflow that processes USA addresses regardless if they contain names and parses/splits them into individual fields.

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Visionet - USA Address Parser

Visionet - USA Address Parser

The Lazy App…

The Lazy App…

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