Website to CSV

Turn a website into a clean CSV.

Capture a page on your Windows PC, name the columns you want, and export structured rows without writing CSS selectors, XPath, or a custom parser.

InputOne URL or a URL list
SchemaYour named fields
OutputCSV or JSON rows
The practical approach

Use ScrapeNow when the data is visible on the page and you want a repeatable table, but you do not want to inspect markup or maintain extraction code. Add field names such as title, price, availability, rating, or product URL. Those fields become the structure of the returned dataset.

Three steps

From webpage to spreadsheet-ready rows

01 / Capture

Add the page

Paste one URL, several URLs, or use pagination discovery for a connected listing.

02 / Define

Name the columns

Describe the fields you need in plain language and arrange their final order.

03 / Export

Review the rows

Inspect the structured table, resize columns, then export the result as CSV or JSON.

ScrapeNow results table with structured product fields and CSV and JSON export controls
Actual ScrapeNow results view. Open the image to inspect it at full size.

Example schema

You decide what becomes a column

For a product collection, a useful first schema might be:

titlepriceavailabilitycategoryproduct URL
Requested fieldWhat ScrapeNow looks forCSV result
titleThe visible product or record nameA title column
priceThe price associated with that recordA price column
availabilityThe visible stock or availability stateAn availability column
product URLThe record link when it is present in the captured contentA product URL column

Specific field names produce a more useful schema than a vague request such as “get everything.” Start with the smallest dataset you actually need, inspect a few rows, and then add fields.

Real-web support

CSV extraction is not limited to static pages

If the data appears only after a filter, login, cookie prompt, or other interaction, use a visible capture mode and prepare the page personally. ScrapeNow extracts the page state you reached rather than asking you to recreate every interaction as a cloud automation.

Dynamic pagesPrepare the rendered state

Apply filters, navigate tabs, or scroll to the content before continuing the capture.

Multiple pagesKeep one consistent schema

Use the same field list across a URL collection so the combined result stays tabular.

Authorized loginKeep credentials local

Sign in inside the visible local browser. Browser credentials are not sent to hosted extraction.

Readable evidenceReview before export

Inspect returned rows and column values before using the resulting CSV downstream.

Honest limitations

What this workflow does not promise

  • ScrapeNow does not bypass authentication, CAPTCHAs, access controls, or website restrictions.
  • A page must expose the requested information in the state you capture.
  • Large or unusually complex pages may require High extraction effort and more credits.
  • You are responsible for having permission to access and process the source website.
  • CSV is a flat format. Nested or multi-valued data may be better represented in JSON.

Related workflows

Choose the path that matches the page

Start with one page

Build the first CSV before you build a scraper.

ScrapeNow is free to install and eligible new accounts receive 500 welcome credits.

Get for Windows