Data extraction is the act or process of retrieving (binary) data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another stage in the data workflow. Usually, the term data extraction is applied when (experimental) data is first imported into a computer from primary sources, like measuring or recording devices. Today's electronic devices will usually present a electrical connector (e.g. USB) through which 'raw data' can be streamed into a personal computer.

Typical unstructured data sources include web pages, emails, documents, PDFs, scanned text, mainframe reports, spool files etc. Extracting data from these unstructured sources has grown into a considerable technical challenge where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction deals with extracting data from these unstructured data sources, and from different software formats. This growing process of data extraction companies from the web is referred to as Web scraping.

Our Web Data Extractions Services:

* Data Extraction for maintaining prospective customer databases

* Data Extraction from various online databases for products/services marketing

* Data Extraction for enlarging database of business contacts

* Extracting meta-data from websites

* Extracting consumer-sensitive information from various resources

* Extracting information about competitors -firm size, practices, product details, sales and marketing networks, etc.

* Extracting data for creating networks of suppliers, vendors, retailers and other dealers

* Data Extraction for current market news related to products/services

* Data Extraction from end user websites, forums and other sources

* Data Extraction by querying Databases for successful marketing campaigns

* Or creating other databases