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Apply Datastreamer Spam Detection Classifier to Bright Data Instagram

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

How Datastreamer works

Quickly apply Datastreamer Spam Detection Classifier to Bright Data Instagram with a Datstreamer Pipeline.

Quickly connect Datastreamer Spam Detection Classifier and Bright Data Instagram with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Instagram

Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.

Step 2

Add Datastreamer Spam Detection Classifier with an Operation

To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.

Step 3

That's it! You have just connected  Datastreamer Spam Detection Classifier and Bright Data Instagram

With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.

About Datastreamer Spam Detection Classifier

Detect and flag likely spam or fraudulent content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.

About Bright Data Instagram

Description

Collect and extract Instagram reels and posts by using profile URLs or keyword. Further augment your job using start or end dates, and post types.

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]

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