Get usable records from pages.
For developers building web-data products
Build an extraction API that turns supplied public pages into the output a customer’s application expects. Keep validation and error details with each job so the team knows which records are ready to use and which need attention.
- Define the output the application needs
- Validate records before delivery
- Trace an extracted value to its source page
A way to earn: Sell usage-based API plans.
A focused first release: Extract one type of public page into a documented output schema.
The customer leaves with: Validated rows in the agreed schema, with source references and clear errors for records that could not be extracted.
Pick the right scraping tool.
For developers selecting web-data tooling
Build an independent comparison business that helps developers choose an extraction approach they can maintain. Test specific workflows and show the output, operating effort, and documented price behind each recommendation.
- Compare tools on the same job
- Inspect the output from editorial tests
- Understand ongoing costs and maintenance
A way to earn: Earn disclosed affiliate fees and sell research reports or clearly labelled sponsorships.
A focused first release: Compare tools for one common extraction task using repeatable editorial tests.
The customer leaves with: A task-based comparison with tested examples, current pricing sources, and the maintenance trade-offs explained.
Keep the dataset up to date.
For teams buying recurring public-web datasets
Build a managed data service that delivers the agreed dataset and handles source changes. Use AI to propose field mappings when page layouts shift, then validate the result before those changes reach the customer’s feed.
Where AI helps. AI proposes extraction mappings from public-page content. Schema checks, sample review, and maintained extraction rules control what enters the delivered dataset.
- Detect changes that affect the output
- Review proposed mappings against source pages
- Validate the delivery before publishing it
A way to earn: Sell recurring dataset-delivery and maintenance contracts.
A focused first release: Maintain one narrowly defined public dataset with an agreed schema and delivery schedule.
The customer leaves with: A checked update to the extractor and a validated delivery in the customer’s existing schema.
