HD
Headline data
Headlines, publication dates, source names, URLs and public article metadata.
News & media intelligence
AI-powered news & media data scraping
Turn fast-moving public news and media coverage into structured intelligence for monitoring, research, reputation and market analysis.
Important news can be spread across many sources and formats. We create targeted collection workflows that organize publicly available headlines, topics, dates and entity references around the markets and subjects your team follows.
From public pages to useful data
What is news & media data scraping?
Important news can be spread across many sources and formats. We create targeted collection workflows that organize publicly available headlines, topics, dates and entity references around the markets and subjects your team follows.
Cigma combines tailored extraction logic with AI-assisted mapping and validation where appropriate. The objective is a dependable dataset that fits your research, commercial or operational workflow—not an unstructured collection of raw pages.
Data we extract
Build the dataset your team actually needs
Every project starts with a field map. We collect only publicly available information that is relevant to your use case, then normalize it into an agreed structure.
TP
Topic data
Topics, keywords, categories and public tags used to organize relevant coverage.
EN
Entity data
Public references to brands, companies, people, places and products for monitoring.
AU
Author data
Public author and contributor information where available from the source.
MT
Media data
Public media type, publication, region and coverage-format fields.
TR
Trend data
Volume, timing and topic signals that support research and reporting.
From data to decisions
News & Media intelligence use cases
The same public data can answer different business questions. We define collection and output around the decisions your team needs to make.
NA
News aggregation
Collect selected public coverage into a consistent, searchable research dataset.
BM
Brand monitoring
Track public brand, competitor and industry mentions across selected sources.
SI
Sentiment signals
Organize public language patterns around topics and entities for analysis.
MR
Market research
Follow market, sector and event coverage to support timely research.
CR
Crisis readiness
Surface relevant public coverage for communications and issue-monitoring workflows.
DS
Dashboard feeds
Prepare structured news data for internal dashboards, databases or reports.
AI-powered extraction
A more structured route from page to dataset
AI can help identify page context, map relevant values to defined fields and validate records against agreed rules. We use it as part of a practical workflow—not as an unsupported promise of fully autonomous collection.
- Understand the source and required field structure
- Extract relevant publicly available information
- Validate, normalize and remove duplicates where required
- Structure records to match your agreed schema
- Deliver data in the format and frequency you need
Public web sources
Custom workflows for the sources you need
We scope sources, publications, keywords, markets and fields around your monitoring need. Public availability and delivery requirements are reviewed before a workflow is defined.
We do not claim support for a source until the required workflow has been assessed.
Who uses this data
Useful across specialist teams
- Communications and brand teams
- Market research businesses
- Media intelligence platforms
- Consulting and advisory firms
- Corporate strategy teams
- Investment and industry-research teams
Flexible delivery
Get data in the format you need
Your delivery method should fit the people and systems using the data. We can prepare structured outputs for one-time or scheduled delivery.
- CSV, Excel, JSON and XML files
- API or database-ready delivery
- Cloud storage and custom data feeds
- One-time datasets or scheduled updates
- Field normalization based on your schema
How Cigma works
A transparent data workflow
01
Define requirements
Share the public sources, fields, geography and update frequency that matter to your team.
02
Design the workflow
We assess source feasibility and configure an extraction and data-structure approach.
03
Extract and validate
Public information is collected, normalized and checked against the agreed data rules.
04
Deliver the dataset
Receive a sample or feed in the agreed format so your team can begin using the information.
05
Monitor and update
For recurring needs, the workflow can be maintained and run on an agreed schedule.
06
Refine as you learn
Add or refine fields as your commercial, research or product questions evolve.
Explore more data intelligence
Related AI-powered web scraping solutions
Explore the AI-powered web scraping service hub or review other industry data solutions: E-commerce, Travel & Tourism, Food Delivery, Entertainment, Finance, Jobs & Recruitment, Real Estate.
Frequently asked questions
News & Media data scraping FAQs
What is news data scraping?
It is the structured collection of permitted public news and media information, such as headlines, sources, dates, topics and entity references.
Can Cigma monitor specific brands or topics?
Yes. A workflow can be scoped around agreed keywords, entities, publications and markets.
Can public news data be delivered to a dashboard?
Yes. Data can be prepared for CSV, JSON, API, database or cloud-storage delivery based on the agreed workflow.
How is data delivered?
We can prepare agreed datasets for CSV, Excel, JSON, XML, API, database or cloud-storage delivery.
Is public web data collection legal?
Each project should be assessed individually. We focus on publicly available information while considering applicable laws, privacy requirements, contractual restrictions and website terms.
How do we get started?
Share the public sources, fields, geography and refresh frequency you need. We will help define a practical scope.