Describe the records and fields you need. ghost can read permitted public or signed-in pages, structure the relevant information, flag exceptions, and carry the reviewed data into the next part of the work.
An AI web scraper uses natural-language instructions and browser or web-reading tools to identify information on permitted websites and return it as structured data. ghost can retain the source URL, validate a sample, create spreadsheet or CSV output, and connect the result to research, reports, and scheduled monitoring.
AI web scraper example: compare supplier listings.
For a supplier comparison, ghost opens the permitted product pages, captures the name, listed price, availability, specification, and source URL, flags records with missing values, validates a representative sample, and creates a spreadsheet ready for analysis.
Define your website data extraction fields first.
An extraction brief should describe one record and the fields that make it useful. For supplier research, ask for product name, listed price, currency, availability, and source URL. Decide whether a missing price should remain blank and whether different sizes or subscription terms should be separate records. AI data extraction can organize what a page says; it should not invent a value to complete the table. Keep normalization choices alongside the output so another person can reproduce the comparison.
Use AI browser automation when the page needs interaction.
A public page may be readable through web tools. A rendered table, a selected filter, or a permitted signed-in view may need the browser instead. ghost can use the selected connected browser session to inspect the visible page and follow the relevant list. A working sample matters before expanding the scope: test one page, confirm the fields, then continue. This is a scoped assistant workflow, not a promise of a bulk scraping API or unlimited crawling.
Check the dataset before exporting or monitoring.
Check duplicate records, missing cells, currency labels, and the distinction between a listed price and a calculated total. Preserve the source URL for each row. The reviewed dataset can become an XLSX or CSV file through supported spreadsheet and sandbox tools. For repeat checks, define which sources and fields to revisit and what counts as a meaningful change. A failed page load must be reported as unavailable rather than interpreted as a product disappearing.
A small extraction sample to validate first
Illustrative records with fictional suppliers and example.org source paths; the prices are not live market data.
Example supplier records for review
Product
Listed price
Availability
Source
North desk lamp
USD 49
In stock
example.org/suppliers/north
Harbor desk lamp
Not listed
Not stated
example.org/suppliers/harbor
Field desk lamp
USD 58
Preorder
example.org/suppliers/field
Review: preserve the missing price, keep preorder distinct from in stock, and confirm whether tax or shipping is included before comparing totals.
Connect browser extraction to research and analysis.
This is one workflow across ghost, not a bundle of disconnected products. Each feature owns a specific stage and keeps its own access boundary.
Use the right browsing path
The AI browser agent can work through the selected connected Chrome profile when a task needs a signed-in page or current rendered state. Public pages can use supported search and web-reading tools without taking over an unrelated browser session.
Turn extracted rows into evidence
The AI research assistant can compare collected records with other relevant sources, distinguish a page claim from an interpretation, and keep citations close to the resulting note or report.
Process larger datasets in isolation
Managed AI workspaces can normalize tables, remove duplicates, calculate derived fields, create charts, and write supported files without treating the user’s Mac filesystem as the default execution environment.
Extract website data into checked, source-linked rows.
The handoff stays inspectable from source to result. Every stage names what it received, what changed, and what needs review.
Define the records and extraction schema
The user names the page scope, record type, required fields, expected formats, source column, and treatment of missing or conflicting values. Clear output fields are more useful than a broad request to scrape everything.
Choose public or signed-in access
ghost uses public web tools for accessible sources and the selected connected Chrome profile when the task genuinely needs an authenticated page. Direct integrations remain preferable for supported services such as Gmail, Slack, Jira, and Calendar.
Read rendered pages and follow the list
The workflow can inspect repeated page structures, links, and pagination needed for the defined scope. It does not imply CAPTCHA bypass, unauthorized access, unlimited crawling, or evasion of a site’s controls.
Extract structured data with provenance
Names, dates, prices, statuses, specifications, and other requested fields become consistent records. Each row can retain its source URL so the output remains checkable rather than becoming an unexplained dataset.
Validate before completing the full run
ghost compares a representative sample with the rendered source, flags missing fields and duplicates, and records normalization choices. A changed page layout or blocked source is reported instead of silently producing plausible cells.
An AI web scraper interprets a natural-language extraction request, reads permitted pages, maps the requested fields into structured records, and can preserve the source URL for validation.
Can ghost extract website data into Excel or CSV?
Yes. ghost can use supported sandbox and spreadsheet tools to create reviewable XLSX or CSV output after the record fields, source scope, and validation rules are defined.
Can it scrape a website where I am already signed in?
The Browser capability can use a selected connected Chrome profile when the task and account permissions allow it. That access is scoped to the requested work and does not grant blanket control over every site or profile.
Can an AI web scraper handle pagination and dynamic pages?
The browser path can inspect rendered content and follow the relevant list or pagination within the defined scope. Reliability still depends on the site, access controls, layout, and requested volume.
Can ghost monitor website changes automatically?
A permitted extraction can become a separate scheduled task with a defined cadence, fields, comparison rule, and failure report. A one-time scrape does not create monitoring automatically.
Start with one real workflow.
Bring the source, the intended result, and the boundaries that matter. ghost is in private beta for macOS.