LSEG Messenger DataParser

DataParser brings LSEG Messenger data into any Compliance Archive or Repository

LSEG Mesenger is single gateway to chat, share news, live data, charts, and analytics, all via LSEG’s hosted network.

DataParser is connector software to bring Messenger data into any archive or eDiscovery system in use.

LSEG Messenger DataParser helps you use the technology you want while still meeting your compliance and security policy requirements.LSEG

 

 

A.Silent.Voice.-720p-.Hindi.Vegamovies.NL.mkv

Key Features of LSEG Meseenger DataParser

  • Automatically downloads data from Refinitiv Messenger.
  • Collects Messenger Chats and shared Files.
  • Maintains source transcripts from Messenger.
  • Message tagging and output options.

Tell me about license plans

A.silent.voice.-720p-.hindi.vegamovies.nl.mkv

Description: A small tool/script that parses media filenames like "A.Silent.Voice.-720p-.Hindi.Vegamovies.NL.mkv", extracts useful metadata (title, resolution, language, release group/site, container), normalizes it, and moves/renames the file into a consistent library structure while saving metadata (JSON sidecar).

Would you like a ready-to-run Python script (with guessit and optional TMDb lookup) for this? A.Silent.Voice.-720p-.Hindi.Vegamovies.NL.mkv

"original_filename": "A.Silent.Voice.-720p-.Hindi.Vegamovies.NL.mkv", "title": "A Silent Voice", "year": null, "resolution": "720p", "language": "Hindi", "release_site": "Vegamovies.NL", "container": "mkv", "sha256": "...", "moved_to": "/Media/Movies/A Silent Voice/A Silent Voice [720p][Hindi].mkv", "fetched_metadata": ... // optional API data Safety & legality note: The tool operates on local filenames and metadata only; do not use it to facilitate distribution of copyrighted content. Description: A small tool/script that parses media filenames

DataParser Supported Data Sources

DataParser is a modular connector software solution designed to meet Compliance, Legal, Security, HR and IT requirements. Chats, Meetings, Documents, Data feeds, Collaboration Platforms and Databases are supported. DataParser handles the collection from the source, formatting of the data, filtering of output and delivery to an archive, eDiscovery platform or storage repository. 17a-4 partners with all data source providers to ensure continuous support of new features.  17a-4’s software team has streamlined the development of new interfaces.  Please get in contact if you are using a platform not listed below and would like us to add it to our DataParser roadmap.