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Company Data Extraction

Companies data extraction from [url removed, login to view] specified category/sub-category and designated city, and save results in Excel file format.

[This project is virtually identical to others which have already been completed by quite a number of GAF service providers, and preference may be given to providers who have received positive feedback for such projects.]

Fields required are as follows:

- Category (see below)

- Sub-category (see below)

- Company Name

- Address

- City

- State

- Postcode

- Tel

- Fax (see below)

- Website

- Email (see below)

- Sponsored Listing (see below)

Category (and sub-category, if applicable) is related to the following

1) Building construction - include all building trades and professional people (a Category list will be provided)

2) Health and beauty – includes all health and beauty related including for body, mind or services.

If needed, sub-category could replace category.

Email address extraction is important in this task. Email address must included if there are shown on the original.

Must be able to extract the data from the sponsored listings as well as normal listings, and also indicate whether it is a sponsored listing or not (even better if you can include the sponsored listing ad wording).

Must automatically extract the data from the continuing pages ie. 2, 3, 4 onwards, to get the full data set.

We are recommended to visit [url removed, login to view] to make sure your script can extract data accurately from it.

Autobidders will be ignored... To prove that you've actually read this project listing, please make sure you write "Hello Landmax" in your bid and/or PM.

My budget is about $100

Kemahiran: Pemasukan Data, Pemprosesan Data, Pemasaran Internet, Penyelidikan, Memasang Skrip

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Tentang Majikan:
( 9 ulasan ) Burwood, Australia

ID Projek: #287675