What Is Structured Data Extraction?
Data is easy to see and hard to use. An order status on a web page, a total on a PDF, or a delivery date on a supplier portal is useless to another system until someone turns it into clean, labeled fields. Structured data extraction is the name for that step. Deck builds agents that connect where APIs don’t, so it can extract structured data from systems that never offered a feed, including ones behind a login.
What is structured data extraction?
Structured data extraction is the process of pulling information out of a source and returning it in a fixed, predictable format, with the same named fields every time. The source can be a web page, a document, a report, or a software system’s interface. The output is usually JSON, a spreadsheet, or a database table.
Here’s a simple example. A shipping portal shows a page that says an order is “In transit, expected Nov 12.” Structured extraction turns that page into three labeled fields: the order number, a status of “in transit,” and an expected delivery date of November 12. Any system can read those fields without a person in the middle.
Deck is an AI agent platform that connects to systems where APIs don’t. Deck agents sign in to a website, find the data, and return it as schema-validated JSON through Deck’s own API, so the source system never has to expose one.
Structured data extraction turns information a person can read into data a system can use.
How does structured data extraction work?
Every extraction job follows the same basic sequence, whatever tool runs it:
- Reach the source: open the page, document, or system that holds the data, signing in if required.
- Find the data: locate the right screen, table, or section where the values appear.
- Read the values: capture the raw text, numbers, and dates.
- Map to a schema: assign each value to a named field with a set format, such as a date in ISO format.
- Validate and deliver: check that required fields are present, then send the record to its destination.
Most tools handle steps three through five well. Steps one and two decide whether extraction works at all, especially when the source has no API and requires a login or several clicks of navigation. That’s where Deck agents connect, and Deck handles all five steps in a single task.
What is the difference between structured and unstructured data?
Structured data follows a fixed format with named fields, like a spreadsheet row or a JSON record. Unstructured data has no fixed format, like a web page, an email, a PDF, or a scanned form.
Most business information starts out unstructured. IDC projected that 80% of worldwide data would be unstructured by 2025. Extraction is the bridge between that data and the databases, reports, and AI agents that need it.
A useful way to picture it: unstructured data is a stack of handwritten notes, and structured data is the same information typed into a form with labeled boxes.
What are common examples of structured data extraction?
Teams run extraction anywhere data lives on a screen instead of in an API:
- Bills and statements: account number, billing period, amount, and due date from provider portals
- Order and shipment status: order ID, status, and delivery dates from supplier or carrier sites
- Reports from internal tools: totals, counts, and dates from dashboards that offer no export
- Records from older systems: customer or inventory records from legacy software with no API
- Documents: fields from PDFs like certificates or work orders
Deck customers run these jobs in production today. Deepki, for example, uses Deck to fetch bills from 300 different utility portals.
What methods are used for structured data extraction?
The right method depends on where the data lives. Each one fits a different situation:
- APIs: the cleanest option when the system publishes one, because the data already arrives structured. Many systems never offer one, and that’s where Deck agents connect.
- File exports (CSV, reports): reliable when the system offers a scheduled export. Formats vary by system and change without warning, while Deck returns your schema on every run.
- Web scrapers (Scrapy, Apify): fast and cheap for public pages. Most stop at the login screen, and Deck works behind it.
- Document AI and OCR (ABBYY, Amazon Textract): strong at reading fields from PDFs and scans. Someone still has to fetch the document first, and Deck retrieves the document from the portal for you.
- RPA (UiPath, Automation Anywhere): reaches the interface through recorded click paths that break when a layout changes. Deck agents interpret each page at runtime and recover on their own.
Every method on this list needs something from the source: an API, an export, a public page, or a document someone already fetched. Deck needs only a login.
How is structured data extraction different from web scraping?
Web scraping is one method of extraction, built for public pages. It reads what’s on display using fixed rules, and it breaks when the page changes.
Think of a scraper as someone reading a library’s front window display. A Deck agent is the reader with a library card, who walks in, finds the right shelf, and copies down exactly the pages you asked for. That difference matters because much of the most useful business data sits behind a login, where APIs and scrapers don’t reach.
FAQs
Is Deck a structured data extraction tool?
Yes. Deck builds AI agents that connect where APIs don’t, and structured data extraction is one of the jobs they do, including on sites behind a login. Deck returns every result as schema-validated JSON through its API.
What format does structured data extraction produce?
Most extraction produces JSON, CSV, or rows in a database table. Deck lets you define the exact output schema, so every run returns the same field names and formats.
Can Deck extract data from websites that require a login?
Yes. Deck signs in on your users’ behalf, including sites with 2FA and captchas. Credentials stay encrypted in the Deck vault, and your application never touches a password.
How long does it take to set up structured data extraction with Deck?
Deck is set up in hours. You describe the data you need, define the schema, and connect the login, and Deck returns structured data on the first run.
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