Social Listening Pipelines

Connect Unstructured Data to Your Social Listening Products, 90% Faster

For social intelligence tools monitoring data from multiple web sources, Datastreamer saves you months of engineering work when integrating external data suppliers, so you can focus on ROI instead of ETL.

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The Data Opportunity

Social listening tools need
massive data streams.

We help data teams build social listening products that turn multiple web sources into consumer insights.

Dashboards & Reports
Data engineers can readily combine multiple sources into your dashboards without worrying about ETL for diverse data formats.
Real-Time Monitoring
Automated pipelines ensure a steady flow of web data from multiple vendors for real-time monitoring of your customer's brand.
Sentiment Analysis
Instantly deploy pre-integrated NLP models to get greater accuracy than filtering with keywords.
Train Predictive Models
Feed structured, high quality training data into your predictive AI models for optimal performance.
The Unstructured Data Challenge

Integrating external data
is slow and expensive.

Every new unstructured data source brings the same problems for engineering teams.

Lack of Standardization
Different sources deliver data in diverse formats. Unifying structures through custom scripts and manual normalization drains engineering time.
A Need for Contextual Understanding
Unstructured text requires NLP or other ML models to refine data for faster extraction, or expand insights with added context in the metadata.
Upfront Infrastructure Costs
Integrating massive real-time data streams takes weeks of work from technical teams, leading to a piled-up backlog of integration efforts.
Continuous API & Pipeline Maintenance
Sustaining pipelines that channel data into your product require constant maintenance and heavy infrastructure to support.
720+ hours

Building pipelines for each unstructured data source can take 720+ hours of engineering time. Datastreamer removes that build so your team can ship product instead.

The Pre-Built Solution

We handle the pipelines,
you focus on product.

Datastreamer pulls unstructured data from different sources and delivers it to your products in the structured format you need.

Unify Your Unstructured Data
With automated ingestion and schema standardization, unify data from multiple sources into a consistent, usable structure.
Integrate External Data in Minutes
Pre-built connectors to top data vendors take minutes to integrate into your product, with zero maintenance required.
Enrich Data with NLP
Instantly deploy pre-integrated NLP models to enable a greater contextual understanding and save time on analysis.
Pipelines for Complex Data
Most ETL tools don't work with unstructured data. We specialize in it. Build, host, and manage pipelines from a single API platform.
Enrich Metadata with LLMs
Based on user prompts, UnifyAI extracts and generates metadata fields to fill holes in your data schema, adding new value to your data.
The Data Backbone

Built for social listening tools.

Datastreamer is the social and web data orchestration platform loved by intelligence software companies.

Example Pipeline: Consumer Insights
User-generated content into a Fortune 500 product

This data pipeline feeds user-generated content into a consumer insights product used by Fortune 500 companies.

FAQ

Frequently asked questions

What does Datastreamer do for a social listening product?

Datastreamer builds and manages the data pipelines that feed unstructured web and social data into your social listening product. It handles ingestion, schema standardization, enrichment, and delivery, so your team can focus on product and insights instead of ETL. You get structured, consistent data from multiple sources through a single API platform.

How does data get in and out of the pipeline?

Data comes in through pre-built connectors to top data vendors, which take minutes to integrate and require no maintenance from you. Datastreamer then normalizes and enriches that data and delivers it to your product in the structured format you need. Teams that need an advanced path can use Direct Integrations with their own vendor API keys.

What enrichments can I apply to the data?

You can deploy pre-integrated NLP models for sentiment and greater contextual understanding without building them yourself. UnifyAI uses LLMs to extract and generate metadata fields based on your prompts, filling gaps in your data schema. These enrichments run inside the pipeline, so the data arrives ready for dashboards, monitoring, and model training.

Why use Datastreamer instead of building pipelines in-house?

Building a pipeline for each unstructured data source can take 720+ hours of engineering time, plus ongoing API and infrastructure maintenance. Datastreamer removes that build and upkeep so your team ships product instead of managing ETL. Pricing is usage-based, so talk to sales to design a pipeline scoped to the sources you need.

Get Started

Working with social or web data?

Talk to our team. We'll help you design the pipeline that feeds your social listening product with the sources you need, fast.

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Used by market-leading intelligence platforms. Supported by a dedicated success team.