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Enrich Bright Data Glassdoor Job Listings with Tisane Topic Extraction

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

About Bright Data Glassdoor Job Listings

URL-based collection of Glassdoor jobs listing. Returns matching jobs listing that contain hiring company, company rating, job position, job location, job description, hiring company’s reported revenue, percentage of employees recommending the company to a friend and more.

About Tisane Topic Extraction

Find out the subjects the users are talking about. Classify content by topic. Intelligently deduce geographic region.

Super granular. Supports IPTC, IAB, and Wikidata IDs.

Also known as: theme identification, subject detection, or key topic recognition. Topic extraction determines the dominant topics in the text.

Tisane provides the topics at a document level.

When a particular word has multiple interpretations, the sense of the word must be determined in the current context. For example, Jupiter is a planet and a Roman deity. Whether it's the planet or the deity, depends on the text.

For example, the sentence Juno is the wife of Jupiter refers to the deity. Tisane determines the relevant topics as Roman mythologysupernatural (gods), relationship, and family (since the spousal connection is mentioned).

There are common taxonomy standards that Tisane can provide::

  • native - native Tisane topic names; based on standard English terms for the topic. The default standard.
  • iptc_code - codes of the IPTC (International Press Telecommunications Council) Media Topics classification - a standard used in the media.
  • iptc_description - English descriptions of the IPTC codes.
  • iab_code - codes of the IAB (Interactive Advertising Bureau) content taxonomy.
  • iab_description - English descriptions of the IAB codes.
  • wikidata - Wikidata codes (usually of the form Qnnnnn, e.g. Q123).

How Datastreamer works

Quickly enrich Bright Data Glassdoor Job Listings with Tisane Topic Extraction with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Glassdoor Job Listings

Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.

Step 2

Add Tisane Topic Extraction to enrich

Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.

Step 3

That's it! You have just connected  Bright Data Glassdoor Job Listings and Tisane Topic Extraction

Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.

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!