Category: Software » InterNet Tools → RafaSoft Web Data Extractor 8.2

Web Data Extractor Extract targeted company contact data (email, phone, fax) from web for responsible b2b contact. Extract url, meta tag (title, desc, keyword) for website promotion, search directory creation, web research.

A powerful link extractor, email marketing utility:
URL Extractor - Meta Tag Extractor - Body Text Extractor - Email Extractor - Phone Extractor - Fax Extractor

Extract URL, meta tag (title, desc, keyword), email, phone, fax from: Web Site, Search Engine Results, Web Group or Dir, List of URLs.

A powerful email marketing, phone/fax marketing, website promotion software. High speed, multi-threaded, accurate data extraction - directly saves data to disk file. Program has numerous filters to restrict session, like - URL filter, page text filter, bulk data filter, domain filter, mass email filter, date modified, etc. Just specify a key word for your search and the extractor brings back hundreds of links, meta data, email addresses, phone/fax extracted from the web sites found. It allows user-selectable recursion levels, retrieval threads, timeout, proxy support and many other advanced options.

Proven uses of Web Data Extractor:
* I want to extract contact data of travel related companies.
* I want to extract contact data of travel related companies of Australia.
* I want to extract all data from a website http://www.mydomain.com
* I want to extract all photographers contact data from yahoo dir Photographers to send them invitation to visit my new photographer forum.
* I have a list of urls in a file and I want to extract data from those urls.
* I want to compile a list of offshore, banking, tax, accounting related websites that do link exchange with other sites.
* I want to extract real estate companies phone / fax numbers of Canada, Toronto area.
* I want to build a domain list of health/medicine related websites.
* I have url list in a SQL database. I want to extract url, title, description, keyword, plain page text of html to and merge them into database.