For sales and market research
Turn a company's own website into a structured profile
Read a company's own pages and get its profile back as JSON in your schema, ready for the CRM.
The problem
A sales team comes back from an event with two hundred company domains. Before anyone writes to them, someone has to find out what each company does, who it sells to and where it is, which means opening two hundred websites.
How domscout handles it
POST /extract reads the page you point it at and fills your schema: the company's name, what it sells, the customers it describes, where it says it is based. The answer is validated against the schema before it is returned, so a CRM import never receives a field of the wrong type. Keep to what a company says about itself; collecting personal data is governed by data protection law and by the service's terms.
Where it shows up
- Qualifying inbound or event leads before outreach.
- Filling industry and product fields in a CRM.
- A market map of the companies in a category.
The request
POST /extract. /extract starts at Pro and costs 4 credits a request. A url is fetched without running JavaScript; for a site that builds its content in the browser, capture the Markdown first and send it as content.
Go further
More in Data extraction and search: Crawling a whole site · Structured data from web pages · AI extraction to a JSON Schema · Semantic search over your content · Content behind clicks · Evaluation sets from real pages · All use cases
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