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I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.

I can then select from saved mappings or create a new mapping
use with other feeds in the future.

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.) You can view an example of a row of data from the feed along with how I what categories I could expect to be created from the row (http://www.groovyshoe.com/example.html).

Also The category and subcategory should have FILTER options to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field {Brand_Name} and the words for. If the Brand_Name was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.

I can then select from saved mappings or create a new mapping
use with other feeds in the future.

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.) You can view an example of a row of data from the feed along with how I what categories I could expect to be created from the row (http://www.groovyshoe.com/example.html).

Also The category and subcategory should have FILTER options to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field {Brand_Name} and the words for. If the Brand_Name was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.
I can then select from saved mappings or create a new mapping
in future uses of the script).

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

Additionally The category and subcategory should
have an option to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field Manufacturer and the words for. If the manufacturer was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

It should intergrate with my existing script (www.datafeedstudio.com.)

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.
I can then select from saved mappings or create a new mapping
in future uses of the script).

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

Additionally The category and subcategory should
have an option to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field Manufacturer and the words for. If the manufacturer was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

It should intergrate with my existing script (www.datafeedstudio.com.)

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.
I can then select from saved mappings or create a new mapping
in future uses of the script).

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

Additionally The category and subcategory should
have an option to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field Manufacturer and the words for. If the manufacturer was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

It should intergrate with my existing script (www.datafeedstudio.com.)

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.
I can then select from saved mappings or create a new mapping
in future uses of the script).

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

Additionally The category and subcategory should
have an option to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field Manufacturer and the words for. If the manufacturer was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

It should intergrate with my existing script (www.datafeedstudio.com.)

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.
I can then select from saved mappings or create a new mapping
in future uses of the script).

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

Additionally The category and subcategory should
have an option to prepend and/or append the name with a value from one of the fields combined with text. Example: The category Men could be prepended with the field Manufacturer and the words for. If the manufacturer was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

It should intergrate with my existing script (www.datafeedstudio.com.)

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parser that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The script will allow me to provide the url to the file
to be read, it will read the data and make the
conversion/data additions.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to be used in the future.
I can then select from saved mappings or create a new mapping
in future uses of the script).

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

Additionally The category and subcategory should
have an option to prepend or append the name with a value from one of the fields combined with text. Example: The category Men could be
prepended with the field Manufacturer and the words for. If the
manufacturer was Nike the category name would be Nike for Men.

It will check for duplicates of cats/subcats/items. Finally, It will write the report showing how many items were added, which items were added, and how many new cats/subcats were created,
and how many skipped. etc…

It should intergrate with my existing script (www.datafeedstudio.com.)

Payment: Scriptlance upon completion and testing
Testing: On my server to ensure it works on my server.

I need a custom parse that can parse the Shoebuy data feed located at http://extranet.shoebuy.com/affiliates/feed.txt against my database ( i am using datafeedstudio.com script) and create the categories if they do not exist and assign the products to their matching categories if they have not already been assigned.

The interface will provide Drop-downs that list my DB fields, and another set of drop downs that list all the fields in the CSV file.

For the field that I label as CATEGORY and SUB CATEGORY I will need to be able to denote whether the field may have one or more categories in it or not and the delimeter seperating the additional categories/subcategories.

For example: In the Shoebuy CSV feed the DEPARTMENT field could have
Men, Teen Guys (The categories to be created would be Dr. Martens for Men, and Dr. Martens for Teen Guys.), the CATEGORY field has Leather Sandals (The sub-category under Dr. Martens for Men would be Dr. Martens Leather Sandals for Men and Dr. Martens for Teen Guys would be Dr. Martens Leather Sandals for Teen Guys.)

I will map the DB fields with the CSV file fields once (and then the mapping will be stored in the DB to automate the task) and, the data will get parsed automatically.

This will allow me to parse other data files in the future with this script.

I am using a script called Datafeedstudio (www.datafeedstudio.com). I am importing in feeds from Comission Junction but they do not provide the category structure I need.

I need the category structure created that matches Shoebuy.com for the Shoebuy products.

TO make this happen I need some type of parser that will use my database as the product source and parse the matching individual pages of each product on the Shoebuy website (see page http://www.shoebuy.com/dr-martens-194011021-14-eyelet-steel-toe-boot/43589 and look under RELATED DR. MARTENS CATEGORIES. Those are the categories that should be created for that item) to retrieve and create the categories needed for this to work and assign the products
to those categories.

The categories to be created structure example would be like:

Gender Brand Name type

Examples: Women’s Doc Martens Sandals
WOmen’s Doc Martens Shoes
Men’s Doc Martens Boots

Alternatively you may be able to parse the shoebuy product feed directly which also provides the category structure I believe.
You can view the Shoebuy feed here (http://extranet.shoebuy.com/affiliates/feed.txt).