Anyone researching a local business eventually hits the same question: pull reviews from Google Maps, from Yelp, or both. The honest answer is that they are not interchangeable. Google Maps and Yelp attract different reviewers, capture different fields, and reward different kinds of analysis. If you are doing reputation monitoring, competitor research, or deciding where to eat, stay, or hire, knowing what each platform actually gives you changes how you read the data, and which one is worth exporting first.
This is not a “which platform is bigger” argument. It is about what shows up in a spreadsheet once you export, and what that data is and is not good for.
A Google Maps review, once exported, gives you these fields: rating, review text, review date, owner reply, helpful count, language, and local guide.
Two of those are distinctive to Google Maps. The language field matters because Google Maps reviews come from anyone who has ever opened Maps in that country, tourists included, so a business near an airport or a landmark can end up with reviews in several languages. Knowing the language lets you separate the local reviewer base from visiting ones before you draw conclusions about local reputation. The local guide field flags reviewers who have opted into Google’s local guide program, a signal (not a guarantee) that the reviewer writes reviews as a habit rather than a one-off reaction to a single visit.
The owner reply and helpful count columns work the way you would expect: the owner reply captures whether and how the business responded, and the helpful count reflects how many other users found the review useful, a rough weighting signal when you are triaging which reviews to read closely first.
Notably absent from a Google Maps export: the reviewer’s name and location. Google Maps reviews are tied to a Google account, but the exporter does not surface reviewer identity fields the way Yelp does, since Google Maps does not expose a comparable public location field on reviews.
A Yelp review, once exported, gives you: rating, review text, review date, reviewer name, reviewer location, useful votes, and business reply.
The standout fields here are reviewer name and reviewer location. Yelp reviewer profiles typically show a city, sometimes a home neighborhood, which is genuinely useful for local research: a review from someone who lists the same city as the business carries different weight than one from a reviewer passing through. That location field is something Google Maps exports do not carry, and it is one of the clearer reasons to pull Yelp data alongside Google Maps data rather than treating one as a substitute for the other.
The useful votes field plays a similar role to Google Maps’ helpful count: it is a rough signal of which reviews other users found worth reading, useful when you are triaging a long list rather than reading everything. The business reply column mirrors Google Maps’ owner reply, so on both platforms you get a direct read on whether and how a business responds to feedback.
Reviewer location, notably, is personal information about a real person; treat it with the same care you would any customer data, not as free-for-all fuel for outreach lists.
Google Maps reviews tend to come from people who were already in the Maps app, navigating to the business, and left a rating on the way out or shortly after. That makes the reviewer base wide and casual: lots of short reviews, lots of one-line ratings with no text at all, and a broad cross-section of whoever happened to visit, including tourists and one-time visitors.
Yelp reviewers, by contrast, are more often people who chose to open Yelp specifically to review something, or who researched a business on Yelp before going. That tends to produce fewer total reviews but a reviewer base that is somewhat more deliberate about what they write. It does not make Yelp reviews more truthful or Google reviews less valid; it just means the sample you are reading was gathered under different conditions.
This is why pulling only one platform’s reviews for a competitive or reputation analysis can quietly mislead you. A business that looks fine on Google Maps but is taking a beating on Yelp (or the reverse) is not unusual, and the gap itself is often informative: it can point at a specific customer segment, a specific type of complaint, or simply which platform the business’s regulars happen to use.
For reputation monitoring, pull both if the business has an active presence on each. Track the Google Maps rating trend and Yelp rating trend separately rather than averaging them together, since they are drawn from different populations and blending them hides the story.
For competitor analysis, export the same set of platforms across every competitor you are comparing, so the comparison is apples to apples. Comparing your Yelp export against a competitor’s Google Maps export tells you very little.
For choosing where to eat, stay, or hire as a one-off decision, either platform alone is often enough, but reading both is cheap insurance against a review set that happens to be thin or skewed on the platform you checked first.
For market research across many local businesses in a category, Google Maps usually has the broader reach across ordinary local businesses, since it captures anyone who searched or navigated there, while Yelp fills in detail (and often more textured written reviews) for the businesses that have an active following there.
ExportReviews runs a dedicated exporter for Google Maps and one for Yelp, both built the same way: the extraction happens locally in your browser, reading the page you already have open with your own session, and the review content it captures never leaves your device. The backend behind ExportReviews only tracks anonymous credit counters, nothing about what was in a review, who wrote it, or which business it was about.
Both exporters output to CSV, Excel (XLSX) or JSON, and use the same credit system: the first 25 exported rows are free with no account needed, and beyond that 1 credit equals 1 exported row. Credits do not expire, and they are shared across every ExportReviews exporter, so a balance you buy for Google Maps research works just as well the next time you need to pull Yelp reviews, or any other source ExportReviews supports. If a platform changes its page structure and an extractor breaks, you get an honest message telling you the platform changed rather than a CSV that is empty or quietly wrong.
If you have not run either export yet, the Google Maps export guide and the Yelp export guide both walk through the process step by step.
Both platforms’ reviews are public, visible to anyone who opens the page, and exporting them for research is a reasonable use of information customers chose to publish. That said, Yelp reviews carry a reviewer name and location, real identifying details about a real person, so keep that data for aggregate analysis rather than building files on individual reviewers, and be mindful of GDPR-style data-minimization habits if you are handling reviews about EU-based businesses or reviewers. Respect each platform’s terms of service around scraping pace and automated access; a browser exporter reading the page you are already viewing, at a human pace, is a different thing from hammering a platform’s servers with scripted requests, and it is worth staying on the right side of that line.
Google Maps and Yelp are not two versions of the same review pool; they are two different reviewer populations captured through two different sets of fields. Google Maps gives you reach and reviewer language and local-guide signals; Yelp gives you reviewer identity, location, and a somewhat more deliberate reviewer base. For serious local business research, reputation monitoring, or competitor comparison, exporting both and reading them side by side beats picking one and assuming it tells the whole story.
Start with whichever one carries more review volume for the business you are researching, which is usually Google Maps for most local categories. Then pull Yelp as well if the business has an active Yelp page. Comparing both gives you a fuller picture than either alone, since the two platforms attract different reviewers who do not always raise the same complaints.
Not entirely. Some customers only ever leave a Google review because they already have a Google account open on their phone, others are Yelp regulars who review deliberately. There is overlap, but each platform also has reviewers who essentially never touch the other, which is part of why exporting both matters for research.
Local guide status is a Google Maps program: reviewers who opt in earn the badge and it shows on their reviews. Yelp has no equivalent public badge on its review data, so the exporter does not surface one; instead it exposes reviewer name and location, fields Google Maps reviews do not carry.
No. Extraction happens locally in your browser using your own session on the page you have open. Review text, ratings, and reviewer details never leave your device. The backend only tracks anonymous credit counters, nothing about what was in the reviews.
You get an honest message saying the platform changed, not an empty or wrong CSV. Both extractors are watched for that kind of breakage, but when it happens the tool will not pretend to have captured data it did not.
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