Thirty project-management vendors, their pricing tiers, free-plan limits and SSO support, written into the sheet with a source link on every claim.
Pricing comparisons, prospect lists, market maps, vendor matrices. Every one of them starts with you opening tabs and typing what you see into cells.
A companion does the browsing half. It visits every vendor, reads the actual pricing pages, and writes the matrix: one row per vendor, one source link per claim. Creating spreadsheets, reading and updating ranges and adding tabs all run natively, and you review what gets written.
01
From open web to structured rows
“Thirty project-management vendors, with pricing tiers, free-plan limits and SSO support, in a sheet” is a complete instruction. The companion visits each vendor, reads the actual pricing pages, and writes the matrix: one row per vendor, one source link per claim.
This is the daily bread of data extraction: messy, dynamic pages in, clean checkable rows out. Checking a suspicious cell takes one click instead of a re-research.
02
Enrichment, one row at a time
Point a companion at an existing list, companies, candidates or leads, and name the columns you wish were filled: employee count, latest funding, tech stack, hiring signals. It works through every row’s subject on the live web and stages the updates.
What it cannot verify stays blank and gets flagged. You see the gap instead of inheriting a wrong number.
03
Can the report recur without you?
The Monday metrics pull, the weekly competitor price check, the monthly pipeline snapshot.
A scheduled routine re-runs the research and appends the new rows or tab, and you open a sheet that is already current.
If your operations run on spreadsheets, the Monday report turns into a diff you skim.
04
Why does a companion beat an import formula?
Import functions break on JavaScript-heavy pages, APIs cover a fraction of the sites that matter, and scraping services need keys, selectors and maintenance.
A companion reads pages the way you do, rendered and logged in where you are logged in, so the long tail of real websites is simply available. One agent does both halves: it browses like a person and writes to Sheets natively like a program.
Yes. A companion browses the live web like a person, extracts what you asked for, and writes it into Google Sheets natively as structured rows with source links. You review the writes before the sheet changes.
Describe the sites and the columns in plain language. A companion handles rendered, JavaScript-heavy pages and sites you are logged into. No selectors, no API keys, no broken import formulas.
Point a companion at the sheet and name the columns to fill: funding, headcount, tech stack. It researches every row on the live web, stages the updates for review, and flags what it could not verify rather than guessing.
Edits are staged for your approval, so a shared sheet never changes silently. Chats, history and passwords stay on your device, and chats are not saved on Strawberry’s servers.
Yes. Scheduled routines re-run the research and append fresh rows or tabs every day, week or month. The recurring report becomes something you review, not something you produce.
Google Sheets Strawberry