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

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Questions?

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

Join Socialgist Reviews with Bright Data LinkedIn

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

About Socialgist Reviews

Covering over 50 Chinese review platforms and over 250 English review platforms, this dataset offers insights into customer satisfaction, product feedback, and consumer trends. Whether it’s understanding how products are received, tracking competitor performance, or identifying areas for improvement, Socialgist Reviews dataset provides the real-world voice of the customer, crucial for market analysis, product development, and brand management.

About Bright Data LinkedIn

Collect and extract LinkedIn company profiles and people profiles using URLs. Returns matching company that include the location, industry, number of employee; and people profile that include the location of the user, current company, experiences, number of connections and more.

How Datastreamer works

Quickly connect Socialgist Reviews and Bright Data LinkedIn with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Socialgist Reviews

Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.

Step 2

Add Bright Data LinkedIn with Unify or another transformer to combine schemas

Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.

Step 3

That's it! You have just connected  Socialgist Reviews and Bright Data LinkedIn

Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.

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!