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Yelp Reviews Scraper

What customers wrote,
as a spreadsheet.

Name the Yelp businesses you care about - a /biz/ URL, a slug, or just the id - and get their reviews back as rows: who wrote it, where they are from, how many stars, when, and the text itself. Seven columns, and one thing to know before you start: Yelp hard-blocks datacentre addresses, so this scraper needs your own US residential proxy.

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500 free rows, one-time$0.002 per row after that7 columnsCSV · XLSX · JSON
How it works

In goes a business,
out come its reviews.

One input, one control. There is no market to choose and no format to configure - you name the businesses and say how many reviews you want from each.

  1. STEP 1Sign in to the platform.
  2. STEP 2Open the Yelp Reviews Scraper.
  3. STEP 3Paste Yelp /biz/ URLs, slugs or business ids, one per line - or upload a CSV, XLSX or TXT file.
  4. STEP 4Configure a US residential proxy - Yelp hard-blocks free and datacentre IPs.
  5. STEP 5Set a limit per business, or leave it empty to take everything, and click Export Reviews.
  6. STEP 6Download the result as CSV, XLSX or JSON.

Mixing the three input forms in one list is fine - the form takes a URL, a slug and an id on consecutive lines without complaint.

Why teams use it

One listing,
everything said about it.

Ratings you can average

rating is a number on a five-star scale, not a label to parse - the tool reads it as a number and draws it into five star slots. So the column sorts, averages and filters the moment it lands, with no cleanup pass in between.

The reviewer, and where they are from

location is the reviewer's, not the business's - it sits with their name, not with the address. That is the column that tells you whether a place is loved by its neighbours or by people passing through, which is a different question from what its average says.

The proxy is a hard requirement

Yelp blocks free and datacentre addresses outright, so this scraper runs through your own paid US residential proxy. Not residential in general - the tool asks for a US one. Without it a run finishes and comes back empty, which is the one cause the tool names for an empty result.

What you get

Seven columns,
one row per review.

Each row is a single review of a single business: who wrote it, where they are from, the star rating, the date, and the review text - tied to the business it belongs to.

The column list below is the header row of real run exports, corroborated by the column array the run screen renders - the two match exactly. What it is not is a sample. Read the note under the table before you write code against any of these fields: this page makes four claims about what the columns contain and refuses to make any others, and the note explains where the line falls.

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Data dictionary

Seven columns,
four of them described.

The names are exact - they are the workbook's header row and the run screen's column array, and the two agree. Where we can describe what a column holds we say so and say how we know. Where we cannot, we say that instead.

query
The line you submitted for this business - the column every scraper here uses to echo your input back, so a result set joins cleanly to the list you sent. Whether it comes back exactly as you typed it or normalised to one of the three accepted forms, we have not observed and do not claim.
business
The Yelp business the review belongs to. This and query are what group a result set by listing.
reviewer
Who wrote the review. The tool falls back to Anonymous when this is empty, so treat a blank as expected rather than as a broken row.
location
The reviewer's location, not the business's. We can say that because of where the tool puts it: inside the reviewer block, directly under their name. How often it is filled, we have not seen.
rating
The star rating. Numeric, on a five-star scale - the tool reads the value as a number and renders it into five star slots, so this column is ready to average without cleanup.
date
When the review was posted.
review
The body of the review. It may contain line breaks - the tool renders it with pre-wrap, which preserves them - so parse the CSV with a reader that handles quoted multi-line fields, or take the JSON.

Read this before you plan against the table above. Every run export we hold for this scraper came back empty - three runs between 2026-07-09 and 2026-07-15, each a workbook with this header row and no data rows beneath it - because Yelp hard-blocks free and datacentre IPs and the runs were made without the US residential proxy the tool requires. So there are no example values anywhere on this page. The four things said above about reviewer, location, rating and review are not guesses from the column names: each one is established by how the reference tool's own results view handles the value. Everything we could not establish that way is left unsaid - the format of date, whether business is a display name or a slug, whether query is echoed verbatim, and how often location carries anything at all.

Run one business free
Run controls

One dial,
not a control panel.

There is a single setting on this form: how many reviews to take per business. Everything else is about how you hand over the list - typed, or uploaded and merged into what you typed.

/biz/ URL input Slug input Business id input Limit per business Empty or 0 takes all Paste one per line CSV upload XLSX upload TXT upload US residential proxy
Handing over the list

Uploads merge,
they don't replace.

An uploaded file does not clear the box. The tool reads the file, adds those lines to whatever you had already typed, and de-duplicates the result - so you can build a list in two passes without worrying about repeats, and running the same file twice changes nothing.

It reads the first column only. In a CSV or TXT that is everything before the first comma on each line; in an XLSX it is column A of the first sheet. A spreadsheet with the business URL in column C will load a column of the wrong thing, so move it left before you upload.

The picker lists Parquet alongside CSV, XLSX and TXT, but it cannot actually read one in the browser and will tell you so - use one of the other three.

livescraper.app · the upload
CSV · XLSX · TXT✓
Parquet is listed but not read!
First column only✓
Merged with what you typed✓
Duplicates removed✓
Typed and uploaded lines end up in one de-duplicated list.
Common workflows

Three jobs people
run here most.

A few of the ways teams use review text to answer a question they actually have.

CX

Read your one-stars as a corpus

Pull every review on the locations you run and read the low-rated bodies together instead of one at a time. Because the rating is a number, filtering to the bottom two stars is a sort, not a project - and recurring complaints show up as repeated language.

CX · Ops
Local

Neighbours or tourists?

The reviewer's location sits on the same row as their rating, so you can ask whether a place is loved by people nearby or by visitors. For a business that lives on repeat custom, that split matters more than the headline average.

Research
Competitive

Compare a street, not a listing

Take the businesses you compete with and export them in one run. Ratings and verbatim text side by side show where a rival genuinely wins and where they simply have more reviews.

Marketing
Get started
Pricing

Pay for the reviews
you actually pull.

No subscription, no minimum, no recurring invoice. Your first 500 rows are on us - after that, pay as you go at the same flat rate as every other scraper here.

Free tier

500 rows free - $0

On every new account, one time. No credit card. Per-business limits, file upload and every export format included. The US residential proxy this scraper needs is yours to supply.

$0 forever
Pay as you go

$0.002 per row, after the free tier

The same flat rate as every other scraper on the platform, and a row here is one review. The estimator shows the row count and credit cost before a run starts - no surprise bills, no compute units to translate.

Most popular
Volume

Custom · high volume

Volume pricing, dedicated workers and an SLA for ongoing monitoring or very large historical pulls. Tell us your numbers and we will quote it.

Talk to us
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10% off your first paid run.Use code LIVESCRAPER10 at checkout.
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Pairs well with

The words,
and everything else.

The same business list works in all three - identical input forms, and the same US residential proxy.

Yelp Photos Scraper

The same businesses, the pictures instead of the words. It takes the same three input forms and needs the same proxy, so one list feeds both runs.

Explore

Google Reviews Scraper

The same job on the other big local platform. A business that reads well on one and badly on the other is a pattern you only see by pulling both.

Explore
The legal bit

Is it legal to scrape
Yelp reviews?

Short answer: yes for the public review content - and this export does carry a reviewer name and a reviewer location, so plan for that.

Reviews on Yelp are published to be read. The rating, the text, the date, the reviewer's name and where they say they are from are shown to anyone who opens the listing, logged in or not. Collecting publicly visible feedback for research is long-settled practice, and nothing here touches a login or a paywall.

Two columns deserve care rather than a footnote. reviewer identifies the person who wrote the review and location says roughly where they are - together that is personal data under the GDPR and comparable regimes, and more of it than a name alone. Reading the corpus in aggregate, or quoting a review as any customer could, is ordinary use. Building a profile of a named individual across businesses is not, and is not what this exists for.

Yelp's terms restrict automated access, and Yelp enforces that hard at the network level - which is why a US residential proxy is a requirement here rather than a suggestion. That makes this a contractual question as well as a technical one. We run no third-party trackers on the data layer, and your exports self-delete after 30 days.

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livescraper.app · principles
Public review content only✓
No logins, no accounts touched✓
Reviewer names AND locations are in the export!
Needs your own US residential proxy✓
Exports self-delete (30 days)✓
Check Yelp's own terms before you scale up.
FAQ

What people ask
before signing up.

The questions we get most. Anything else? Talk to us - humans write the answers, not a bot.

How do I scrape Yelp reviews?+
Using the Yelp Reviews Scraper:
  1. Sign in to the platform.
  2. Open the Yelp Reviews Scraper.
  3. Paste Yelp /biz/ URLs, slugs or business ids, one per line - or upload a CSV, XLSX or TXT file.
  4. Configure a US residential proxy - Yelp hard-blocks free and datacentre IPs.
  5. Set a limit per business, or leave it empty to take everything, and click Export Reviews.
  6. Download the result as CSV, XLSX or JSON.
Whose location is in the location column?+
The reviewer's, not the business's. The tool renders it inside the reviewer block, directly beneath their name, which is how we know. If you wanted the address of the business itself, that is a different job and this scraper does not do it.
What scale is the rating on?+
Five stars. The tool parses the value as a number and draws it into five star slots, so a rating is a number from one to five rather than a percentage or a ten-point score.
Do I need a proxy for this one?+
Yes, and a US residential one specifically. Yelp hard-blocks free and datacentre addresses, so this scraper runs through your own paid US residential proxy, configured as PROXY_URL. Without one a run completes and comes back empty.
My run came back empty. Why?+
The tool names one cause: no US residential proxy. That is also the honest reading of our own evidence - all three run exports we hold came back empty, and all three were made without one. Check the proxy first. We are not going to list a second explanation we have not seen for ourselves.
Will the review text break my CSV parser?+
It can if your parser is naive. Review bodies are free text and may contain line breaks - the tool renders them with pre-wrap, which preserves them - so read the file with a real CSV reader that understands quoted fields spanning multiple lines, or take the JSON export instead.
Can I choose a country or a language?+
No. There is one control on this form, the per-business limit. Unlike some scrapers here there is no country selector and no language selector, and the job the form sends carries neither.
How much does it cost?+
The first 500 rows are free and one-time, with no credit card. After that it is $0.002 per row - the same flat rate as every other scraper on the platform. A row is one review. The US residential proxy is a separate cost, and it is yours.

Your first 500 reviews,
on the house.

500 free rows, one time, on every new account - no expiry. After that it is $0.002 per row, pay as you go, with no card on file until you decide. The US residential proxy is yours to bring.

Start free See full pricing
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Scrape Yelp business reviews at scale

Livescraper's Yelp Reviews Scraper turns a list of businesses into review data. You submit Yelp businesses - as /biz/ URLs, as slugs, or as bare business ids, typed one per line or uploaded as a CSV, XLSX or TXT file - set how many reviews to take from each, and download what customers wrote as a clean CSV, Excel or JSON file.

Each row is one review: the query you sent, the business, the reviewer, the reviewer's location, a star rating, the date, and the review body. Two of those are worth knowing before you build against them. The rating is a number on a five-star scale, so the column averages and filters without a cleanup pass. And the location belongs to the reviewer rather than to the business, which makes it the field that answers whether a place is loved by its neighbours or by people passing through.

CX and operations teams pull every review on the locations they run and read the low-rated bodies as a corpus, where recurring complaints appear as repeated language rather than as an average that moved. Marketing teams export a competitive set in one run and compare ratings and verbatim text side by side. Researchers use the reviewer location to separate local regulars from visitors, a split the headline score hides.

Two requirements are stated here rather than buried. Yelp hard-blocks free and datacentre addresses, so this scraper needs your own paid US residential proxy - US specifically - to return anything at all, and that is the single cause the tool names when a run comes back empty. And this page publishes no example values, because every run export we hold returned zero rows; what it does say about four of the columns comes from how the tool itself handles those values, not from guessing at their names. The seven column names are exact and cross-checked. Everything else is what your first free-tier run will tell you. Start free: your first 500 rows cost nothing and need no card.