Social Listening Platforms

Connect and enrich
social media sources

Ingest, enrich, and route social media sources, all without building or maintaining fragile pipelines.

How It Supports Social Listening

Built for platforms that monitor
the world's conversations.

Datastreamer is what engineering teams use when building social listening platforms that need to ingest, normalize, and enrich high-volume, unstructured data from social media, forums, blogs, and reviews.

1
Ingest
Any social or open web source
Pull from social media, forums, blogs, and reviews through one managed interface.
2
Enrich
Topics, sentiment, and video analysis
Apply enrichment inline so content arrives structured and ready to query.
3
Stream
Real-time into your stack
Route processed content to the destinations your product already runs on.
4
Abstract
Away ingestion complexity
No fragile scrapers or per-source glue code for your team to maintain.
By The Numbers

Why product and engineering
teams use Datastreamer.

Averages measured across social listening customers running on the platform.

6 weeks
Reduced build time per new source
$285k
Average annual benefit per customer
6,373
Average annual people hours saved
80M
Average pieces of web content monthly
7+
Average data sources per pipeline
38,000+
Ready-to-deploy capabilities
Use Cases

Data pipelines for
intelligence platforms.

Common pipelines social listening teams build on Datastreamer.

Social to Sentiment Enriched
Social Posts to Brand Health
Raw Signals to User Alerts
Niche Sources to Coverage+
Enriched Content to Analytics
Blogs to Usage Ideas
More Than Scrapers & Scripts

Built for teams that need
more than scrapers and scripts.

Datastreamer takes ingestion and enrichment work off your roadmap so your team can focus on the product your customers pay for.

Ship sources faster
Adding a new source through Datastreamer replaces weeks of connector work, so coverage keeps expanding without a build cycle each time.
Enrichment built in
Topics, sentiment, and video analysis run inside the pipeline, so content lands structured and ready for your analytics and alerting.
Handles high volume
Platforms on Datastreamer move tens of millions of pieces of web content each month, streaming in real time into their own stack.
Works Alongside Your Stack

Fits the tools your
team already runs.

Datastreamer supports customization beyond what social listening platforms offer on their own.

Social listening platforms

Works alongside Meltwater, Sprinklr, Brandwatch, Brand24, Talkwalker, and others, adding sources and enrichment beyond what those platforms provide on their own.

Data and cloud infrastructure

Delivers into the tooling your product runs on, including Databricks, Snowflake, Google Cloud, Fivetran, Socialgist, Vetric, and DarkOwl.

FAQ

Frequently asked questions

What does Datastreamer do for a social listening platform?

Datastreamer gives social listening platforms managed pipelines that ingest, enrich, and route unstructured data from social media, forums, blogs, and reviews. It handles the ingestion and enrichment work so your team can focus on the product your customers pay for. Content arrives structured and ready to query, without fragile scrapers or per-source glue code to maintain.

How does data get in and out of the pipeline?

Data comes in from social media, forums, blogs, and reviews through one managed interface, then gets enriched inline and streamed in real time to the destinations your product already runs on. Datastreamer delivers into tooling like Databricks, Snowflake, Google Cloud, and Fivetran. For an advanced path, teams can use Direct Integrations with their own API keys.

What enrichments can I apply to the content?

Enrichments such as topic detection, sentiment, and video analysis run inside the pipeline, so content lands structured and ready for your analytics and alerting. Because enrichment happens inline, you do not need a separate processing step after ingestion. This lets a platform go from raw signals to enriched, queryable content in a single flow.

How does pricing work?

Datastreamer pricing is usage-based, so cost scales with the volume of data your pipelines process. There is no fixed package to pick from up front. Talk to our sales team and we will help design the right pipeline and pricing for your platform.

Get Started

Working with social or web data?

Datastreamer is the social and web data orchestration platform loved by intelligence software companies. Talk to our team and we'll help you design the right pipeline for your platform.

Trusted by intelligence software companies working with social and web data.