# Cigar Aficionado Ratings Scraper - Scores & Tasting Notes (`punkrecordsdata/cigar-aficionado-scraper`) Actor

Look up cigar ratings from Cigar Aficionado's database of 23,000+ tasting notes: score, size, strength, wrapper/binder/filler origin, price, and the full tasting note — plus a score history across other tastings of the same cigar.

- **URL**: https://apify.com/punkrecordsdata/cigar-aficionado-scraper.md
- **Developed by:** [PunkRecordsData](https://apify.com/punkrecordsdata) (community)
- **Categories:** Other, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 cigar records

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

## Cigar Aficionado Ratings Scraper - Scores & Tasting Notes

### What does Cigar Aficionado Ratings Scraper do?

**Cigar Aficionado Ratings Scraper** extracts data from [Cigar Aficionado](https://www.cigaraficionado.com), the reference magazine for cigar ratings, with a database of **23,000+ tasting notes**. Give it a cigar's rating URL and it returns the **100-point score**, size, strength, wrapper/binder/filler origin, price, and the full tasting note — plus **every other independent tasting of the same cigar** across different issues, so you can build a score history over time.

No login, no CAPTCHA. Runs on the Apify platform with API access, scheduling, monitoring and CSV/Excel/JSON export.

### Why use Cigar Aficionado Ratings Scraper?

- **Retail & inventory** — pull real scores and tasting notes to enrich a cigar shop's catalog.
- **Collecting & investing** — track how a cigar's score has moved across tastings/years.
- **Content & recommendations** — power a "top rated cigars" feature with real, current data.
- **Market research** — compare strength, size, and origin across brands at scale.

### How to use Cigar Aficionado Ratings Scraper

1. Go to the **Input tab** and paste one or more Cigar Aficionado rating URLs (e.g. `https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado`).
2. Leave **discover recent cigars** on to also pull in the latest "Cigar of the Week" picks automatically.
3. Toggle **related tastings (score history)** on or off — it's billed separately.
4. Click **Run**. Download results as JSON, CSV, or Excel from the dataset viewer.

### Input

- **Cigar rating page URLs** — direct Cigar Aficionado rating pages.
- **Also discover recent cigars** — automatically crawl the "Cigar of the Week" archive for more.
- **Max Items** — cap on how many cigars to process (10 on free plan).
- **Related tastings (score history)** — toggle the score-history extra.

Example input:

```json
{
    "startUrls": [{ "url": "https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado" }],
    "discoverRecent": true,
    "maxItems": 10,
    "includeRelatedReviews": true
}
```

### Output

The dataset contains up to two record types per cigar:

- **Cigar record** — name, score, size, strength, wrapper/binder/filler origin, price, tasting note.
- **Related review record** — one row per other independent tasting of the same cigar, with its own score and issue date.

```json
{
    "recordType": "cigar-record",
    "name": "Cohiba Medio Siglo",
    "score": 90,
    "size": "Miscellaneous",
    "length": "4\"",
    "ringGauge": "52",
    "strength": "Medium-Full",
    "country": "Cuba",
    "price": "£64.30",
    "tastingNote": "There's a reddish, tawny hue to this short robusto..."
}
```

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

### Data table

| Field | Description |
| --- | --- |
| `name` | Cigar name |
| `score` | 100-point rating score |
| `size` / `length` / `ringGauge` | Shape, length (inches), ring gauge |
| `strength` | Mild to full-bodied |
| `filler` / `binder` / `wrapper` / `country` | Tobacco origin by component |
| `price` | Real price at time of tasting |
| `issueName` | Magazine issue and date the tasting appeared in |
| `tastingNote` | Full tasting note text |
| `relatedRatingId` / `relatedScore` / `relatedIssue` | Other independent tastings of the same cigar (score history) |

### Pricing / Cost estimation

This actor uses **Pay Per Event** pricing — you only pay for the record types you actually request. The **cigar record** is the primary event; the related-tastings score history is an optional add-on, only charged when turned on.

A run of 50 cigars with related tastings on typically costs the equivalent of 50 cigar records plus a handful of related-review records per cigar (most cigars have 0-4 prior tastings).

### Tips or Advanced options

- **Leave discovery on** for a quick way to see fresh data without knowing exact URLs in advance.
- **Turn off related tastings** if you only need the current score, to save on cost.
- **Schedule it** — combine with Apify scheduling to catch new "Cigar of the Week" picks automatically.

### FAQ, disclaimers, and support

**Is this legal?** This actor only extracts publicly available rating and review information already published by Cigar Aficionado on its own pages.

**Why do some cigars have no related tastings?** Not every cigar has been reviewed more than once — the actor returns exactly what's published, no invented history.

Found a bug or want extra fields? Open an issue in the Issues tab or contact us for a **custom scraper** tailored to your sourcing pipeline.

# Actor input Schema

## `startUrls` (type: `array`):

Direct cigaraficionado.com rating page URLs (e.g. https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado). Fastest way to look up specific cigars.

## `discoverRecent` (type: `boolean`):

Crawl the "Cigar of the Week" archive to automatically discover and add recently-rated cigars, on top of any URLs above.

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

Cap on how many cigars to process. Free users: limited to 10 (preview). Paid users: optional, up to 1,000,000.

## `includeRelatedReviews` (type: `boolean`):

Other independent tastings of the same cigar from different issues/years — lets you build a score history over time.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado"
    }
  ],
  "discoverRecent": true,
  "maxItems": 10,
  "includeRelatedReviews": true
}
```

# Actor output Schema

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

Key fields: cigar name, score, size, country, price

## `fullData` (type: `string`):

Complete dataset including related-tasting score history

# 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 = {
    "startUrls": [
        {
            "url": "https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado"
        }
    ],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("punkrecordsdata/cigar-aficionado-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 = {
    "startUrls": [{ "url": "https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado" }],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("punkrecordsdata/cigar-aficionado-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 '{
  "startUrls": [
    {
      "url": "https://www.cigaraficionado.com/ratings/27175/name/c-l-e-corojo-11-18-figurado"
    }
  ],
  "maxItems": 10
}' |
apify call punkrecordsdata/cigar-aficionado-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,punkrecordsdata/cigar-aficionado-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/FUdcaQCU4vKQ49c58/builds/NZRLU7h8b1SeqCXRn/openapi.json