# 🚀 Uber Eats Reviews Scraper · 20,000 Free Reviews/Month (`omkar-cloud/uber-eats-reviews-scraper`) Actor

Uber Eats Reviews Scraper gets you Uber Eats reviews ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — review text, reviewer, date, featured flag and the store's rating. 💰 $0.25 per 1,000 reviews, no start fee. Scrape your first 20,000 reviews free every month 🚀

- **URL**: https://apify.com/omkar-cloud/uber-eats-reviews-scraper.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.25 / 1,000 review scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Uber Eats Reviews Scraper

Uber Eats Reviews Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Uber Eats customer reviews — straight from a store link, with the store's rating on every row.

Uber Eats guards its data with reCAPTCHA bot protection, so getting reviews out in bulk is hard.

Uber Eats Reviews Scraper gets them out, so you get the data, and can successfully complete your project.

**$0.25 per 1,000 reviews.** And with Apify's free plan you get $5 of credit every month, so your first **20,000 reviews each month are free**.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — [4.7 based on 30 reviews on Trustpilot](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Uber Eats Reviews Scraper free**](https://apify.com/omkar-cloud/uber-eats-reviews-scraper) — your first 20,000 reviews are Free.

### What can I get

- 💬 **The full review text** — exactly what the customer wrote
- 👤 **Reviewer & date** — first name, last initial and the exact date (ISO, UTC)
- 📌 **Featured flag** — the reviews Uber Eats pins to the top of the store page
- ⭐ **The store's rating on every row** — score and rating count, so rows from many stores group cleanly

### Why Uber Eats Reviews Scraper

Most other Uber Eats review scrapers fail you in one of four ways:

- 🗄️ **Inaccurate, cached, stale data**
- 🧩 **Low-detail data** — review text without the store or the date
- 💸 **Pay more to get the same data**
- 🪦 **Works today, breaks next month** — nobody maintains it

Uber Eats Reviews Scraper is scraped live on every run, priced honestly, and actively maintained.

### Example: An Uber Eats Review

```json
{
  "input_url": "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
  "store_id": "65686398-f585-439b-ae4c-dabe058a0a60",
  "store_name": "Five Guys (253 W. 42nd St.) NY - 1499",
  "store_link": "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
  "store_rating": 4.6,
  "store_review_count": 8000,
  "review_id": "4658db84-03b9-46f0-81a3-3f65454c2cdf",
  "reviewer_name": "Makeda M.",
  "text": "Kevin O. Was very kind and gave me the most pleasent experience I’ve ever had at any five guys in nyc. I️ definitely recommend this five guys. It’s my favorite location.",
  "is_featured": true,
  "created_at": "2026-07-24T00:52:31Z"
}
```

Every row is flat — each value is its own column, so CSV and Excel exports need no clean-up.

### Get Started with 20,000 Free Reviews

1. [Hit **Try for Free Button**](https://apify.com/omkar-cloud/uber-eats-reviews-scraper) — the input is pre-filled with Five Guys and Blue Ribbon Sushi Bar in New York.
2. Enjoy your data 😎.

### Input Examples

**Reviews from store links** — or store ids, up to 50 per store:

```json
{
    "storeUrls": [
        "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
        "https://www.ubereats.com/store/blue-ribbon-sushi-bar-rockefeller-plaza/OVkiViZmWCK3-usP1xZ5qw"
    ],
    "maxReviewsPerStore": 50
}
```

Need store links first? [Uber Eats Scraper](https://apify.com/omkar-cloud/uber-eats-scraper) finds every store around any address — its `link` column goes straight in here.

### Pricing

High value, Low price.

| What | Price | What you get |
|---|---|---|
| **Reviews** | **$0.25 per 1,000** | Review text, reviewer, date, featured flag + the store (id, name, link, rating, rating count) |

No start fee — you pay only for the reviews you get. One price on every Apify plan.

**Cost examples**

| Run | Cost |
|---|---|
| 1,000 reviews (about 10 stores) | $0.25 |
| 10,000 reviews | $2.50 |

Control your spend with **Max Reviews per Store**.

💡 Apify's free plan includes $5 of credit every month — **20,000 free reviews, every month**.

👉 [**Scrape your first 20,000 reviews free**](https://apify.com/omkar-cloud/uber-eats-reviews-scraper)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/uber-eats-reviews-scraper").call(run_input={
    "storeUrls": ["https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA"],
    "maxReviewsPerStore": 100,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["store_name"], row["reviewer_name"], row["created_at"], row["text"])
```

**Node.js** (`npm install apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/uber-eats-reviews-scraper').call({
    storeUrls: ['https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### FAQs

#### How much does it cost to scrape Uber Eats reviews?

$0.25 per 1,000 reviews — $0.00025 per review. No start fee, no monthly rental, the same price on every Apify plan.

#### Is there a free tier?

Yes. Apify's free plan gives you $5 of credit every month, which is 20,000 reviews — every month, no card needed.

#### How many reviews can I get per store?

All the reviews the Uber Eats store page carries — usually about 100, featured reviews first. That is every review Uber Eats shows publicly.

#### Do reviews have a star rating?

Uber Eats doesn't show a star rating per review, only the text. You get the store's overall rating and rating count on every row instead.

#### Am I charged twice for the same store?

No. The same store entered twice — as a link and as an id, say — is scraped and billed once per run.

#### Can I export to CSV or Excel?

Yes. Every row is flat — one value per column — so JSON, CSV, Excel and HTML exports work without any clean-up.

### 💬 Have Questions? We Have Answers.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20with%20using%20the%20Uber%20Eats%20Reviews%20Scraper%20Actor.)
[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Uber%20Eats%20Reviews%20Scraper%20Actor\&body=I%20need%20help%20with%20using%20the%20Uber%20Eats%20Reviews%20Scraper%20Actor.)
You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

# Actor input Schema

## `storeUrls` (type: `array`):

Store links like https://www.ubereats.com/store/<name>/<id>.

## `maxReviewsPerStore` (type: `integer`):

Maximum number of reviews to scrape per store. Uber Eats shows up to about 100 per store. Use this to control your cost (1,000 reviews = $0.25).

## Actor input object example

```json
{
  "storeUrls": [
    "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
    "https://www.ubereats.com/store/blue-ribbon-sushi-bar-rockefeller-plaza/OVkiViZmWCK3-usP1xZ5qw"
  ],
  "maxReviewsPerStore": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Every review with every field.

## `overview` (type: `string`):

Store, reviewer, text and date of every review.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "storeUrls": [
        "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
        "https://www.ubereats.com/store/blue-ribbon-sushi-bar-rockefeller-plaza/OVkiViZmWCK3-usP1xZ5qw"
    ],
    "maxReviewsPerStore": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/uber-eats-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "storeUrls": [
        "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
        "https://www.ubereats.com/store/blue-ribbon-sushi-bar-rockefeller-plaza/OVkiViZmWCK3-usP1xZ5qw",
    ],
    "maxReviewsPerStore": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/uber-eats-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "storeUrls": [
    "https://www.ubereats.com/store/five-guys-253-w-42nd-st-ny-1499/ZWhjmPWFQ5uuTNq-BYoKYA",
    "https://www.ubereats.com/store/blue-ribbon-sushi-bar-rockefeller-plaza/OVkiViZmWCK3-usP1xZ5qw"
  ],
  "maxReviewsPerStore": 100
}' |
apify call omkar-cloud/uber-eats-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/uber-eats-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fEUgKry1bRhEIacHk/builds/OQ8hNtEJUXv23ftSt/openapi.json