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Enrich Bright Data Instagram with Datastreamer Intent Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Bright Data Instagram with Datastreamer Intent Classifier with a Datstreamer Pipeline.
Quickly connect Bright Data Instagram and Datastreamer Intent Classifier 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 Intent Classifier to enrich
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 Bright Data Instagram and Datastreamer Intent Classifier
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.
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.
About Datastreamer Intent Classifier
Description
A text-based classifier that analyzes media posts about future actions. It will detect whether the post intends to perform some action, such as purchasing or selling. This component can be used alongside other classifiers for smarter filtering.
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Add Datastreamer components to your data stack and explore its full capabilities