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.
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.
This is one workflow across Ghost, not a bundle of disconnected products. Each feature owns a specific stage and keeps its own access boundary.
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.
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.
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.
The handoff stays inspectable from source to result. Every stage names what it received, what changed, and what needs review.
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.
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.
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.
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.
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.
The reviewed data can move through website to spreadsheet, become evidence in an AI-generated report, or feed a permitted recurring check through Scheduled tasks.
Connected work still needs accurate sources, explicit destinations, and review where an action changes another person’s system.
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.
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.
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.
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.
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.
Bring the source, the intended result, and the boundaries that matter. Ghost is in private beta for macOS.
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