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]

Join Twingly Forums with Bright Data LinkedIn

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

About Twingly Forums

Twingly delivers 10 million forum posts per day from over 9,000 forums in their Forums API.

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 Twingly Forums and Bright Data LinkedIn with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Twingly Forums

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 Bright Data LinkedIn with Unify or another transformer to combine schemas

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  Twingly Forums and Bright Data LinkedIn

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!