# Azure Retail Pricing Scraper (`acquistion-automation/azure-retail-pricing-scraper`) Actor

Scrapes Azure retail prices for all Microsoft cloud services, regions, and currencies. Returns each price as a flat row with service, SKU, region, and unit price. Supports OData filtering and export to CSV, JSON, Excel, or XML.

- **URL**: https://apify.com/acquistion-automation/azure-retail-pricing-scraper.md
- **Developed by:** [Acquisition Automation Co.](https://apify.com/acquistion-automation) (community)
- **Categories:** Other, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

![Acquisition Automation Co. Search less. Close more.](https://api.apify.com/v2/key-value-stores/AOdPHdOpeDpzEPS5f/records/banner.jpg)

## ☁️ Azure Retail Pricing Scraper

> **Pull Microsoft's published Azure list prices as flat rows: service, product, SKU, meter, region, unit price and currency.** No Azure account, no API key, no login. Filter with OData or take the whole list.

Microsoft publishes the retail price of every Azure service through a public pricing API, but the pricing pages are built for one lookup at a time and the API answers in paged JSON with no export. This Actor reads it for you, applies the filter you give it, and writes each price record as one row you can open in a spreadsheet next to a seller's hosting invoices.

| Who uses it | What they use the price list for |
|---|---|
| 💼 Buyers of software and MSP businesses | Checking the cloud cost line in the P\&L against what those services actually list for |
| 📉 Diligence analysts | Modelling the hosting bill after a migration, a region change, or the loss of a seller's discount |
| 🧾 FinOps and procurement teams | Benchmarking a commitment or a reseller quote against Microsoft's own retail price |
| 🏗 Engineers sizing an estate | Costing a proposed architecture before anything is deployed |

### 📋 What it does

> 💡 **Why it matters:** in a software deal, gross margin turns on the cloud bill. The seller's invoices show what they paid under their agreement. This shows what the same meters list for, which is the number that survives a change of ownership.

- 🔎 **Reads the public Azure retail price list.** No Azure subscription and no key, so the price list is available before a seller grants access to anything.
- 🎯 **OData filtering.** Narrow to one service, one region or one SKU, for example `serviceName eq 'Virtual Machines'` or `armRegionName eq 'eastus'`.
- 🌍 **Every region, 21 currencies.** Prices come back in the ISO currency you select, from USD and EUR to INR and BRL.
- 🧩 **SKU-level detail.** Service family, product, SKU and meter, so a row matches a line on an invoice rather than a marketing tier.
- 📦 **One flat row per price record**, the same 16 fields every run, so several filtered runs append into one dataset.
- 💾 **Exports to CSV, Excel, JSON or XML**, from the run page or the API.

### 📊 Output

Every price record is one flat row with 16 fields.

| Field | Type | Description |
|---|---|---|
| 🗂 `serviceFamily` | string | Top-level grouping, for example `Compute` or `Storage` |
| ☁️ `serviceName` | string | Azure service, for example `Virtual Machines` |
| 📦 `productName` | string | Product within the service, for example `Virtual Machines D Series Windows` |
| 🏷 `skuName` | string | SKU as Microsoft names it, for example `D14 Spot` |
| 📏 `meterName` | string | The billing meter the price applies to |
| 🌐 `armRegionName` | string | Region code used in ARM templates and the CLI, for example `southindia` |
| 📍 `location` | string | Human-readable region name, for example `IN South` |
| 💵 `retailPrice` | number | Published retail price per unit of measure |
| 💲 `unitPrice` | number | Price per unit under the meter's own terms. Equal to `retailPrice` for most meters |
| 📐 `unitOfMeasure` | string | What one unit is, for example `1 Hour` or `1 GB/Month` |
| 💱 `currencyCode` | string | ISO currency the price is quoted in, as requested in the input |
| 🧮 `type` | string | Price type, for example `Consumption`, `DevTestConsumption` or `Reservation` |
| 📅 `effectiveStartDate` | string | ISO date the price came into effect |
| 🆔 `meterId` | string | Microsoft's own identifier for the meter, stable across runs |
| 🕒 `scrapedAt` | string | ISO timestamp of collection |
| ⚠️ `error` | string | `null` on a normal row |

#### Example rows

```json
{
  "serviceFamily": "Compute",
  "serviceName": "Virtual Machines",
  "productName": "Virtual Machines D Series Windows",
  "skuName": "D14 Spot",
  "meterName": "D14/DS14 Spot",
  "armRegionName": "southindia",
  "location": "IN South",
  "retailPrice": 0.547888,
  "unitPrice": 0.547888,
  "unitOfMeasure": "1 Hour",
  "currencyCode": "USD",
  "type": "Consumption",
  "effectiveStartDate": "2026-09-01T00:00:00Z",
  "meterId": "000009d0-057f-5f2b-b7e9-9e26add324a8",
  "scrapedAt": "2026-09-14T16:25:44.386Z",
  "error": null
}
```

```json
{
  "serviceFamily": "Compute",
  "serviceName": "Virtual Machines",
  "productName": "Virtual Machines D Series Windows",
  "skuName": "D14 Spot",
  "meterName": "D14/DS14 Spot",
  "armRegionName": "southindia",
  "location": "IN South",
  "retailPrice": 0.398038,
  "unitPrice": 0.398038,
  "unitOfMeasure": "1 Hour",
  "currencyCode": "USD",
  "type": "DevTestConsumption",
  "effectiveStartDate": "2026-09-01T00:00:00Z",
  "meterId": "000009d0-057f-5f2b-b7e9-9e26add324a8",
  "scrapedAt": "2026-09-14T16:25:44.479Z",
  "error": null
}
```

Note that the same meter appears once per price type. The `Consumption` row and the `DevTestConsumption` row above are the same SKU at two different rates, so filter on `type` before you sum anything.

### ✨ Why choose this Actor

| | What you get |
|---|---|
| **Microsoft's own numbers** | Prices come from the public Azure retail price list, not from a calculator or a third-party summary. |
| **No credentials** | No Azure subscription, no key, nothing to ask a seller for. |
| **Filter or take everything** | One OData expression narrows the pull to a service, a region or a SKU. Leave it blank for the full list. |
| **The same 16 fields every run** | Append a dozen filtered runs into one sheet without reconciling columns. |
| **You pay per row** | No subscription. A filter that matches nothing costs nothing. |

### 🚀 How to use it

1. [Create a free Apify account](https://console.apify.com/sign-up). New accounts start with $5 of credit.
2. Open the Actor and select **Try for free**.
3. Leave `filter` blank for everything, or write an OData expression to narrow it.
4. Pick a `currencyCode` and set `maxItems` to cap the run.
5. Select **Start**, then export from the **Dataset** tab as CSV, Excel, JSON or XML.

A first run:

```json
{
  "maxItems": 10,
  "currencyCode": "USD"
}
```

One service in one region, priced in euros:

```json
{
  "maxItems": 2000,
  "filter": "serviceName eq 'Virtual Machines' and armRegionName eq 'westeurope'",
  "currencyCode": "EUR"
}
```

### ⚙️ Input

| Field | Required | Description |
|---|---|---|
| `maxItems` | No | How many price records to collect per run. Default 10 |
| `filter` | No | OData expression, for example `serviceName eq 'Virtual Machines'`. Blank means all prices |
| `currencyCode` | No | ISO currency for the prices. Default `USD`. One of USD, EUR, GBP, JPY, AUD, CAD, BRL, INR, CNY, RUB, CHF, KRW, MXN, SEK, NOK, DKK, SGD, TWD, ZAR, NZD, HKD |

### 💰 Pricing

Pay per result. No subscription, and no Apify platform usage on top.

| Apify plan | Free | Bronze | Silver | Gold | Platinum | Diamond |
|---|---|---|---|---|---|---|
| Per price row | $0.021 | $0.0203 | $0.0197 | $0.019 | $0.019 | $0.019 |

| Rows collected | Cost on the Free plan |
|---|---|
| 100 | $2.10 |
| 1,000 | $21.00 |
| 10,000 | $210.00 |

**Free plan runs** return up to 10 rows as a preview. Any paid Apify plan lifts that to 1,000,000 per run.

### 🔌 Integrate with any app

The dataset is available through the Apify API as soon as the run finishes. Use `run-sync-get-dataset-items` for a one-shot call, webhooks to trigger what happens next, or the Make, Zapier, Airbyte and LangChain integrations listed on the Actor page. Schedule a weekly run to keep a price history you can diff.

### 🤖 Use with an AI agent

Give an agent live access to the Azure price list over the Model Context Protocol:

```bash
claude mcp add --transport http apify "https://mcp.apify.com?tools=acquistion-automation/azure-retail-pricing-scraper"
```

Then ask it in plain language what a SKU costs in a given region and have it read the result back.

### ❓ Frequently asked questions

**Do I need an Azure account or a key?**
No. The retail price list is public. You only need an Apify account to run the Actor.

**Why does the same SKU appear more than once?**
Microsoft prices a meter separately by type. `Consumption` and `DevTestConsumption` are the same SKU at different rates, and reservation terms add further rows. Filter on `type` before summing.

**What is the difference between `retailPrice` and `unitPrice`?**
Both come from the price list. For most meters they are identical, as in the rows above. They differ where a meter's own unit terms price differently from the headline retail rate, so both are kept rather than merged.

**Can I get the entire price list in one run?**
Yes. Leave `filter` blank and raise `maxItems`. Paid plans allow up to 1,000,000 rows per run.

**Why did my filter return nothing?**
OData wants single quotes around values and exact field names, for example `serviceName eq 'Virtual Machines'`. A typo in the field name returns an empty result rather than an error.

**Are these the prices a company actually pays?**
No. These are published retail prices. An enterprise agreement, a reservation or a partner discount sits below them, which is why the list price is the right benchmark for what a bill would look like without the seller's arrangement.

### 🔗 More from Acquisition Automation Co.

- [SAM.gov Contract Opportunities Scraper](https://apify.com/acquistion-automation/sam-gov-contracts-scraper)
- [USASpending Contracts Scraper](https://apify.com/acquistion-automation/usaspending-contracts-scraper)
- [Clutch Agencies Scraper](https://apify.com/acquistion-automation/clutch-agencies-scraper)
- [IRS Exempt Organizations Scraper](https://apify.com/acquistion-automation/irs-eo-master-file-scraper)
- [BizBuySell Scraper](https://apify.com/acquistion-automation/bizbuysell-scraper)

### About Acquisition Automation Co.

We build automation for people buying businesses. The repetitive part of an acquisition search, checking listings, pulling public records, tracking owners and assets, is work a machine should do, so the buyer's time goes into judging deals instead of collecting them.

We add new Actors regularly. If there is a source you need and do not see here, tell us.

### 🆘 Support

Open an issue in the **Issues** tab of this Actor with your run ID, the input you used, and what you expected to get back.

### ⚠️ Disclaimer

This Actor is independent and is not affiliated with, endorsed by, or sponsored by Microsoft Corporation. It collects only publicly available data. You are responsible for using that data in compliance with the source's terms of service and applicable law.

# Actor input Schema

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

How many price records to collect per run.

## `filter` (type: `string`):

Optional OData filter like serviceName eq 'Virtual Machines' or armRegionName eq 'eastus'. Leave blank for all prices.

## `currencyCode` (type: `string`):

ISO currency code for prices.

## Actor input object example

```json
{
  "maxItems": 10,
  "currencyCode": "USD"
}
```

# Actor output Schema

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

No description

# 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 = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("acquistion-automation/azure-retail-pricing-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 = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("acquistion-automation/azure-retail-pricing-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 '{
  "maxItems": 10
}' |
apify call acquistion-automation/azure-retail-pricing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,acquistion-automation/azure-retail-pricing-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/ZmTXDuf8LJOlkyX5l/builds/T9JvUQ7uIopw6n2MM/openapi.json