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Data extraction

Data Extraction

Pull the exact fields you care about from any page, like prices, stock, dates, and statuses, and track them as structured data, not screenshots.

Works with every monitor Built for teams Source-linked evidence
Any page public or behind a login
JSON / CSV export or send via webhook and API
Over time track every value as it changes
B2B workflow

A desktop command center for web change operations

Use Data Extraction as a shared workspace for business signals: teams can inspect the source, understand the impact, and route the next action without rebuilding context from screenshots and threads.

Operating model

How Data Extraction turns change into action

The page is built around the way B2B teams actually work: detect the signal, assess business impact, and route the accountable owner.

01
Detect

Choose the fields

Point-and-click or describe the values you want from the page.

02
Assess

Set the schedule

Decide how often Monity captures and compares the data.

03
Route

Route the output

Export to CSV or send structured data to Sheets, a webhook, or your API.

Why teams use it

What Data Extraction adds to your monitoring stack

A polished workflow matters because the alert is only useful when a team can trust it, assign it, and revisit the evidence later.

Field-level capture

Extract specific values, like prices, stock, dates, and statuses, instead of whole-page diffs.

Structured output

Get clean JSON or CSV you can analyze, not screenshots to read by hand.

Change tracking

Keep a timestamped history of every field so you can see how values move.

Pipe it anywhere

Send extracted data to Google Sheets, webhooks, or your own systems via API.

Before and after

Before and after Data Extraction

The goal is not more notifications. The goal is a cleaner operating surface for evidence, severity, ownership, and response.

Without Monity

Manual review and fragmented follow-up

  • Screenshots copied into ad hoc threads
  • Stakeholders discover changes after decisions are made
  • No durable record of who reviewed what
  • Manual follow-up to find the source and impact
With Monity

Source-linked alerts with accountable owners

  • Data Extraction running across priority sources
  • Every alert keeps source, diff, severity, and owner together
  • Teams respond from Slack, Teams, email, webhook, or Monity
  • History stays clean for review, reporting, and audits
Use cases

Where B2B teams use Data Extraction

Start with the workflows where timing, source evidence, and routing have a measurable business impact.

Use case 01

Pricing intelligence

Capture competitor plan prices into a table and track every move.

Use case 02

Stock and availability

Extract stock status and quantities across products and suppliers.

Use case 03

Market datasets

Build a structured dataset from listings, directories, or public records.

FAQ

Questions about Data Extraction

How is data extraction different from change monitoring?
Monitoring tells you a page changed. Extraction pulls the specific fields off the page as structured data you can store, compare, and export.
What formats can I export?
Extracted data is available as structured JSON or CSV, and can be sent to Google Sheets, webhooks, or your systems via API.
Can I extract from pages behind a login?
Yes. Combine data extraction with browser actions and authenticated monitoring to reach gated pages.
Ready when you are

Turn pages into data you can use.
With the source evidence attached.

Set up your first extraction and start tracking the fields that matter as structured data.

  • 7-day trial
  • No credit card
  • Slack, Teams, email, and webhooks
2 humans online Median reply: 47 minutes

Have a question?

Pricing, security, or scoping - pick a route and you will land in a real person's inbox.