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Enrich Bright Data Reddit with Tisane Entity Extraction

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Bright Data Reddit

Collect and search for Reddit posts and post comments using URLs, keywords or subreddit.

About Tisane Entity Extraction

Detect mentions of people, organizations, locations, filenames, phone numbers, crypto addresses, and more.

Entities are elements of relevance or interest in the text. Tisane extracts both standard entities and those relevant to trust & safety/law enforcement applications.

Standard entities are names of people, their social roles, organizations, places, and so on. We also extract cryptocurrency addresses, bank accounts, credit card numbers, phone numbers, software package names, and more.

Every entity entry is an object made of:

  • type - the type of the entity
  • name - a standard name, if exists; otherwise, the string that was logged
  • subtypes - more detailed additional types
  • subtype - the first subtype (for backward compatibility purposes)
  • mentions - an array of all detected mentions, with:
    • offset
    • length
    • sentence_index
    • text
  • wikidata - a Wikidata ID, if exists

How Datastreamer works

Quickly enrich Bright Data Reddit with Tisane Entity Extraction with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Reddit

Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.

Step 2

Add Tisane Entity Extraction to enrich

Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.

Step 3

That's it! You have just connected  Bright Data Reddit and Tisane Entity Extraction

Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!