Data Extractor allows to extract data in a sparse format contained inside files and collect them in an internal structured table Collected data can be exported at any time in various format (CSV, TSV, HTML, Custom). Data extractor can parse thousands and thousands of file in few seconds and collect all the raw data inside. It uses simple instructions about how to recognize data, how to extract them and where to put these data inside a structured table, ready to be exported.
Features
- Transform order or data in general you receive via email in a database records (Data Extractor can parse directly emails pointing at your mailbox on your Hard Disk)
- Collect order received as server output when not directly inserted inside a database
- Extract data from files one by one, also dragging them via Drag & Drop
- Can process folders extracting from all the files inside nested to any level
- Convert data provided in one format to another when the first format uses a recognizable patter with labels to identify data fields
- Adjustable data columns positions
- Extract data from files where data are written all in one file with record separated just by a distinctive string
- Extract data from files where records are separated by newline with fields all in one line identified just by labels
- Extract data from text document with non unique, ambiguous tags , using special tags usable to instruct Data Extractor where to really start collect data
- Parse files only if they respond to certain characteristics
- Extract data only if they respond to certain characteristics
- Extract data also when it is specified by more then one label (it can put different extraction in the same destination field)
- Can use ‘Case Sensitive’ option for data tags
What’s New
Version 1.9.2:
- Optimization release
Compatibility
macOS 10.10 or later
Screenshots
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