Identify the Business to Analyze
Paste one Maps URL, a list of them, or the business name and its towns. Flag anything you want narrowed — a star band, dates, a word to match.
Google’s API hands you five reviews. AllyHub takes what the page shows: each review and the reply beneath it, for every branch you name.
From a Maps link to a review file with the replies attached — three steps, no API key.
Paste one Maps URL, a list of them, or the business name and its towns. Flag anything you want narrowed — a star band, dates, a word to match.
It scrolls each place’s reviews and records the text, rating, date, reviewer name and review count, photos, review link, and the owner’s reply where there is one.
Take the file, or ask for the themes and the unanswered ones. Keep the run as a Playbook so the quarterly check is a re-run, not a rebuild.
A star average is a number a business earned two years ago. AllyHub takes the reviews behind it — each one with its reply, past the handful an API will hand over, cut to the slice you want, across every branch you name, in whatever format you work in.
Each one comes back as its own record: the text, the stars, the date, the reviewer’s public name and review count, any photos, and a link back to it.
Where the business answered, the reply comes with the review — its wording and its date — so an unanswered complaint and a well-handled one stop looking like the same one-star.
Google’s Places API stops at five per business. AllyHub reads the review pane the way you would — scrolling until the place stops offering more — so the sample is worth averaging.
Ask for one and two stars only, or reviews since a date, or the ones mentioning parking — the filter is applied as it collects, so the file opens on the subset.
Hand it the whole chain — a list of Maps links or just the business name and the cities — and each row carries the location it came from, so branch-versus-branch is a sort.
It can land in a Google Sheet, or come down as CSV, JSON, or Excel. Or skip the file: stay in the run and have AllyHub group what recurs and count what nobody answered.
Operators with more than one address, ops and CX leads, reputation agencies, and researchers reading service quality in customers’ own words.
The pain: you have forty branches and one composite number, so a site going bad shows up as a rounding change in the regional average about two months late. Pull every branch’s reviews in one run and the outlier is a row rather than a hunch, with the sentences that explain it sitting next to it.
The pain: the score says 4.2 and the fix could be anything — the queue at lunchtime, one member of staff, a card reader that keeps failing. It lives in the text and never in the number. Read the text at volume and the same specific thing turns up eleven times, which is what a rota change or a repair order actually needs.
The pain: the client asks whether replying to reviews is worth the effort, and you have a philosophy rather than a figure. Pull reviews with their replies across the client and their competitors, and you can show what share got answered, how quickly, and how the answered ones read beside the ignored ones.
The pain: service-quality work needs what customers actually said, and a star average is not evidence of anything specific. Take a competitive set’s reviews with their dates and ratings attached, and the phrases customers repeat become countable instead of quotable at random.
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What people ask before pulling Google Maps reviews — how much comes back, what’s in a row, and what the replies add.
It collects the reviews on a Google Maps business listing — the text, the ratings, the dates, and the replies underneath — and hands them back as a table you can sort instead of a pane you keep scrolling. AllyHub takes a Maps link or a business name in plain language, works across every branch at once, and can group what recurs in the same run.
Yes — one location’s reviews with the standard fields is on the free plan. Whole chains in one job, deeper pulls, scheduled re-runs, and the grouping and counting steps are what the paid plans cover.
Yes — that cap belongs to the Places API, not to the page. AllyHub reads the listing itself and keeps scrolling until the place stops offering more, so you’re averaging over what the business has actually accumulated. Reviewer names are personal data under a lot of privacy regimes, so storage and retention are your call to make.
Yes — name the star tier, a date window, or a word like “wait” or “parking” when you start, and AllyHub collects only those. It’s the quickest way to build a complaint file for one branch without reading past four hundred people saying the coffee was nice.
Yes. Give it the list of Maps links, or just the brand and the towns, and every location runs in the same job with its address on every row — so you can rank branches by star average, by complaint volume, or by how much went unanswered.
An extension runs in your browser, one place at a time, and stops at a CSV. AllyHub takes the whole chain in one job, keeps the replies attached, groups what recurs, saves the setup as a Playbook, and compounds with every task — so the quarterly reputation pull stops being a project someone has to remember how to do.