# Glovo Product Scraper (`axlymxp/glovo-product-scraper`) Actor

Scrape the full product catalogue of any Glovo store — restaurant, supermarket, shop or pharmacy — with names, descriptions, prices, promotions, stock and images, priced per delivery location. Keyword search or full menu. No signing or unblocking needed.

- **URL**: https://apify.com/axlymxp/glovo-product-scraper.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 dataset items

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Glovo Product Scraper

Extract the **full product catalogue** of any store on **Glovo** — restaurants,
supermarkets, shops and pharmacies — for **any delivery location**. Paste store
URLs (or slugs), optionally add search keywords, and get clean structured rows
with **live prices, promotions, stock, images and store ratings**, each priced
for the store that serves your chosen coordinates.

Because Glovo prices and availability vary by serving store, you can pass
**multiple locations** and compare the same store or product across cities and
countries in one run.

### Why this scraper

- **Full catalogue, not just carousels** — walks every category section of a store to return the complete menu/assortment, not only the featured tiles.
- **In-store keyword search** — add keywords to pull just the matching products from each store (e.g. "coca cola", "chicken").
- **Location-accurate pricing** — every row is priced for a real serving store at your coordinates, not a generic national price.
- **Simple, predictable pricing** — one flat price per product row. No confusing per-item event tiers.
- **Reliable & self-contained** — talks to Glovo's public JSON API directly. No browser, no login, no unblocking subscription, no CAPTCHA.

### Who it's for

- **Price & discount intelligence** teams (FMCG brands, retailers, analysts) tracking prices across stores, cities and countries.
- **Quick-commerce & food-delivery analytics** builders needing clean assortment and price feeds.
- **Market researchers** comparing catalogue breadth, pricing and promotions across metros.

### What you get (output fields)

| Field                                                 | Description                               |
| ----------------------------------------------------- | ----------------------------------------- |
| `name`, `description`                                 | Product identity                          |
| `price`, `currency`, `price_display`                  | Live price in the store's local currency  |
| `on_promotion`, `promotions`                          | Active promotions on the product          |
| `out_of_stock`, `sponsored`, `restricted`             | Availability & merchandising flags        |
| `image_url`                                           | Product image                             |
| `product_id`, `external_id`                           | Stable identifiers (SKU)                  |
| `store_name`, `store_slug`, `store_category`          | Store identity                            |
| `store_rating`, `store_rating_count`, `store_is_open` | Store quality & status                    |
| `city_code`, `store_address_id`                       | Store context                             |
| `location_label`, `latitude`, `longitude`             | Delivery point the product was priced for |
| `source`, `scraped_at`                                | Provenance (`menu` or `search:<query>`)   |

### Use cases

- **Price & promotion intelligence** — track competitor and own-brand pricing and promo depth across Glovo stores and cities.
- **FMCG / brand monitoring** — monitor availability, pack copy and pricing for your SKUs at partner stores.
- **Assortment analysis** — compare catalogue breadth and category mix between merchants and regions.
- **Menu aggregation** — feed restaurant/store menus with prices into your app or dashboard.

### Input

| Field                | Type    | Description                                                                                                |
| -------------------- | ------- | ---------------------------------------------------------------------------------------------------------- |
| `storeUrls`          | array   | Glovo store URLs or bare slugs (e.g. `carrefour-madrid`).                                                  |
| `searchQueries`      | array   | Optional in-store keywords. Empty = full menu/catalogue.                                                   |
| `locations`          | array   | Delivery points. Each item: `label` + `latitude`/`longitude`, or a `location` string (city / `"lat,lng"`). |
| `maxItemsPerStore`   | integer | Per-store product cap. `0` = unlimited. Default 0.                                                         |
| `maxCategories`      | integer | Cap category sections walked per store (full-menu mode). Default: all.                                     |
| `includeOutOfStock`  | boolean | Include out-of-stock products. Default true.                                                               |
| `maxItems`           | integer | Global cap on rows. Default 1000.                                                                          |
| `language`           | string  | Content language (`en`, `es`, `it`, `pt`, `pl`…). Default `en`.                                            |
| `proxyConfiguration` | object  | Optional. The API is not IP-gated; proxies are usually unnecessary.                                        |

#### Example input

```json
{
    "storeUrls": ["carrefour-madrid", "100-montaditos-madrid"],
    "searchQueries": [],
    "locations": [
        { "label": "Madrid", "latitude": 40.4168, "longitude": -3.7038 },
        { "label": "Barcelona", "location": "barcelona" }
    ],
    "maxItemsPerStore": 200,
    "maxItems": 1000,
    "language": "en"
}
```

#### Example output row

```json
{
    "product_id": "018185",
    "name": "Leche Entera Carrefour Brik 1 L.",
    "description": "Leche entera de vaca UHT.",
    "price": 1.09,
    "currency": "EUR",
    "price_display": "1,09 €",
    "out_of_stock": false,
    "on_promotion": false,
    "image_url": "https://images.deliveryhero.io/image/menus-glovo/products/....",
    "store_name": "Carrefour",
    "store_category": "SUPER-MARKET",
    "store_rating": "89%",
    "city_code": "MAD",
    "location_label": "Madrid",
    "latitude": 40.4168,
    "longitude": -3.7038,
    "source": "menu",
    "scraped_at": "2026-08-01T09:00:00Z"
}
```

### Scheduling & integration

Run on a **schedule** to build a price/assortment-history dataset, or trigger via
**webhook** or the Apify API. Results export to JSON, CSV, Excel, or push straight
to your database or BI tool through Apify integrations (Make, Zapier, Google
Sheets, S3, and more).

### AI assistants (MCP)

You can call this actor from AI assistants (Claude, Cursor, ChatGPT) through the
Apify MCP integration — hand it store URLs and a location and get structured
product data back as a tool result.

### FAQ

**How do I find store slugs?** Open a store on glovoapp.com and copy the URL, or
paste the last path segment (e.g. `carrefour-madrid`). You can pass full URLs
directly.

**Which locations are supported?** Anywhere Glovo operates (Europe, Central Asia,
Africa). Pass explicit coordinates for precision, or a known city name. Stores
that don't serve your coordinates are skipped with a log message.

**Full menu or specific products?** Leave `searchQueries` empty for the whole
catalogue, or add keywords to return only matching products from each store.

**How fresh is the data?** Every run fetches live prices and stock at request time.

**Do I need proxies or a login?** No. The actor talks to Glovo's public JSON API
directly — no login, no unblocking subscription, no CAPTCHA. Proxies are optional.

**Is scraping this legal?** You are responsible for how you use the data. Scrape
publicly available information and comply with Glovo's terms and applicable law.

**Why do prices differ between locations?** Glovo is store-based delivery; each
serving store sets its own assortment, price and stock — which is exactly what
this actor captures.

# Actor input Schema

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

Glovo stores to scrape. Paste full store URLs (e.g. https://glovoapp.com/es/en/madrid/carrefour-madrid/) or bare store slugs (e.g. carrefour-madrid). Each store is scraped for every delivery location below.

## `searchQueries` (type: `array`):

Optional keywords. When set, only products matching these keywords within each store are returned (in-store search). Leave empty to scrape the store's full menu/catalogue.

## `locations` (type: `array`):

One or more delivery points to price products for. Each item is an object with an optional 'label' and either 'latitude'+'longitude' or a 'location' string (a known city name, e.g. 'Barcelona', or a 'lat,lng' pair). Glovo prices and availability vary by serving store, so each location produces its own rows.

## `maxItemsPerStore` (type: `integer`):

Cap the number of products returned per store per location. 0 means no per-store cap (the full catalogue, bounded only by 'Max items').

## `maxCategories` (type: `integer`):

Optional. When scraping the full menu, limit how many category sections are walked per store (useful for a quick sample of large supermarkets). Leave empty to walk them all.

## `includeOutOfStock` (type: `boolean`):

Include products currently marked out of stock at the serving store.

## `maxItems` (type: `integer`):

Global cap across all stores, locations and queries. The run stops once this many product rows are pushed.

## `language` (type: `string`):

Language code for product names/descriptions (e.g. en, es, it, pt, pl).

## `proxyConfiguration` (type: `object`):

Optional. The Glovo API is not IP-gated, so proxies are usually unnecessary. Enable a country-matching proxy only if you want requests to egress from a specific country.

## Actor input object example

```json
{
  "storeUrls": [
    "carrefour-madrid",
    "mercadona-valencia",
    "https://glovoapp.com/es/en/madrid/100-montaditos-madrid/"
  ],
  "searchQueries": [
    "milk",
    "coca cola",
    "chicken"
  ],
  "locations": [
    {
      "label": "Madrid",
      "latitude": 40.4168,
      "longitude": -3.7038
    },
    {
      "label": "Barcelona",
      "location": "barcelona"
    }
  ],
  "maxItemsPerStore": 0,
  "includeOutOfStock": true,
  "maxItems": 1000,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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": [
        "carrefour-madrid"
    ],
    "locations": [
        {
            "label": "Madrid - Centro",
            "latitude": 40.4168,
            "longitude": -3.7038
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/glovo-product-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": ["carrefour-madrid"],
    "locations": [{
            "label": "Madrid - Centro",
            "latitude": 40.4168,
            "longitude": -3.7038,
        }],
}

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/glovo-product-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    "carrefour-madrid"
  ],
  "locations": [
    {
      "label": "Madrid - Centro",
      "latitude": 40.4168,
      "longitude": -3.7038
    }
  ]
}' |
apify call axlymxp/glovo-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=axlymxp/glovo-product-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/hfipGIUqkzgG1b5KZ/builds/xQz12IsATsIKa5Oei/openapi.json