# Airbnb Market Intel — Occupancy & Revenue (`tweedy_ristretto/my-first-scraper`) Actor

Scrape Airbnb listings for any city: name, URL, price per night, coordinates, rating, reviews, 12-month calendar, occupancy rate, estimated monthly revenue. For investors and property managers.

- **URL**: https://apify.com/tweedy_ristretto/my-first-scraper.md
- **Developed by:** [Maksim](https://apify.com/tweedy_ristretto) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

### Scrape single-page in Python template

A template for [web scraping](https://apify.com/web-scraping) data from a single web page in Python. The URL of the web page is passed in via input, which is defined by the [input schema](https://docs.apify.com/platform/actors/development/input-schema). The template uses the [HTTPX2](https://github.com/pydantic/httpx2) to get the HTML of the page and the [Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) to parse the data from it. The data are then stored in a [dataset](https://docs.apify.com/sdk/python/docs/concepts/storages#working-with-datasets) where you can easily access them.

The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page.

### Included features

- **[Apify SDK](https://docs.apify.com/sdk/python/)** for Python - a toolkit for building Apify [Actors](https://apify.com/actors) and scrapers in Python
- **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and easily validate a schema for your Actor's input
- **[Request queue](https://docs.apify.com/sdk/python/docs/concepts/storages#working-with-request-queues)** - queues into which you can put the URLs you want to scrape
- **[Dataset](https://docs.apify.com/sdk/python/docs/concepts/storages#working-with-datasets)** - store structured data where each object stored has the same attributes
- **[HTTPX2](https://github.com/pydantic/httpx2)** - library for making asynchronous HTTP requests in Python
- **[Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)** - library for pulling data out of HTML and XML files

### How it works

1. `Actor.get_input()` gets the input where the page URL is defined
2. `httpx2.AsyncClient().get(url)` fetches the page
3. `BeautifulSoup(response.content, 'lxml')` loads the page data and enables parsing the headings
4. This parses the headings from the page and here you can edit the code to parse whatever you need from the page
   ```python
   for heading in soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"]):
   ```
5. `Actor.push_data(headings)` stores the headings in the dataset

### Resources

- [BeautifulSoup Scraper](https://apify.com/apify/beautifulsoup-scraper)
- [Python tutorials in Academy](https://docs.apify.com/academy/python)
- [Web scraping with Beautiful Soup and Requests](https://blog.apify.com/web-scraping-with-beautiful-soup/)
- [Beautiful Soup vs. Scrapy for web scraping](https://blog.apify.com/beautiful-soup-vs-scrapy-web-scraping/)
- [Integration with Make, GitHub, Zapier, Google Drive, and other apps](https://apify.com/integrations)
- [Video guide on getting scraped data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM)
- A short guide on how to build web scrapers using code templates:

[web scraper template](https://www.youtube.com/watch?v=u-i-Korzf8w)

### Getting started

For complete information [see this article](https://docs.apify.com/platform/actors/development#build-actor-locally). To run the Actor use the following command:

```bash
apify run
```

### Deploy to Apify

#### Connect Git repository to Apify

If you've created a Git repository for the project, you can easily connect to Apify:

1. Go to [Actor creation page](https://console.apify.com/actors/new)
2. Click on **Link Git Repository** button

#### Push project on your local machine to Apify

You can also deploy the project on your local machine to Apify without the need for the Git repository.

1. Log in to Apify. You will need to provide your [Apify API Token](https://console.apify.com/account/integrations) to complete this action.

   ```bash
   apify login
   ```

2. Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under [Actors -> My Actors](https://console.apify.com/actors?tab=my).

   ```bash
   apify push
   ```

### Documentation reference

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

# Actor input Schema

## `location` (type: `string`):

Город (например, "Lisbon, Portugal") или полный URL поиска Airbnb.

## `maxListings` (type: `integer`):

Максимальное число объявлений для обработки.

## Actor input object example

```json
{
  "location": "Lisbon, Portugal",
  "maxListings": 50
}
```

# 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 = {
    "location": "Lisbon, Portugal"
};

// Run the Actor and wait for it to finish
const run = await client.actor("tweedy_ristretto/my-first-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 = { "location": "Lisbon, Portugal" }

# Run the Actor and wait for it to finish
run = client.actor("tweedy_ristretto/my-first-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 '{
  "location": "Lisbon, Portugal"
}' |
apify call tweedy_ristretto/my-first-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tweedy_ristretto/my-first-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/vTKVj4VfTpDPAJJlJ/builds/4TQ8ttMsk3s2ai1zM/openapi.json