Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Nonprofit Budgeting Software
Martus Solutions provides seamless budgeting, reporting, and forecasting tools that integrate with accounting systems for real-time financial insights
Martus' collaborative and easy-to-use budgeting and reporting platform will save you hundreds of hours each year. It's designed to make the entire budgeting process easier and create unlimited financial transparency.
Read CSV files of FMD pack data, create and print FMD DataMatrix codes for all packs in the file. Create aggregate barcode files for packs within the same batch. The Aggregate function is for labelling outer packs allowing codes to be checked without breaking a box seal and scanning packs individually
XML sendengine UTF8 in different formats Batchfunction
- Easy XML/SOAP sending for implementation tests
- Batch preview function
- Monitoring feature preview
- Support different WEB services in one application
Installer is currently not set. But you can use the Windows Application control to deinstall the Software.
The basefolder is located at \Users\<Username>\SendEngine - this Folder will not be deleted after Deinstallation of the sofware.
A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name.
* tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows.
* tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns