# Trade Shows in the Next 90 Days (Fast)

**Use case:** 

Get every trade show worldwide starting in the next 90 days, quickly and cheaply: name, dates, venue, city, country and industries.

## Input

```json
{
  "dateTo": "90",
  "includeDetails": false,
  "onlyNew": false,
  "maxItems": 3000,
  "maxConcurrency": 4
}
```

## Output

```json
{
  "name": {
    "label": "Trade show",
    "format": "string"
  },
  "startDate": {
    "label": "From",
    "format": "string"
  },
  "endDate": {
    "label": "To",
    "format": "string"
  },
  "venue": {
    "label": "Venue",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "sectors": {
    "label": "Sectors",
    "format": "array"
  },
  "website": {
    "label": "Website",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Trade Show Scraper - Worldwide Trade Fair Calendar Actor is ready to run with the inputs already set for "Trade Shows in the Next 90 Days (Fast)". [Sign up or log in](https://console.apify.com/create-task-from-example/fxcDYy20gq8XbtHtN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Trade Shows in the Next 90 Days (Fast)" task

The Trade Show Scraper - Worldwide Trade Fair Calendar Actor will start running based on the input automatically. You can also change all the input fields, like to date, open each trade show for full details, and more, to match your specific use case.

### 3. Receive the "Trade Shows in the Next 90 Days (Fast)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as trade show, from, to, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Trade Shows in the Next 90 Days (Fast)" task via API](https://apify.com/pshivam/trade-show-scraper.md).

## FAQ

### What does 90 in To date mean?

A number counts days from the day of the run, so a scheduled run always looks 90 days ahead.

### How much does it cost?

$3.00 per 1,000 trade shows; fast mode keeps platform usage tiny.

### Can I get only new trade shows every day?

Yes. Save this example as your own task, turn on 'Only new trade shows' and schedule it daily. Each run then skips trade shows earlier runs returned, and you pay only for new ones.

### Are organiser contact details included?

No. You get each fair's official website, venue and address; contact the organiser through that website.

### Can I export the data to Excel or Google Sheets?

Yes. Download the results as Excel, CSV, JSON or HTML, or send them to Google Sheets, Slack, Zapier or Make from the run's Integrations tab.

### How up to date is the data?

Every run reads ntradeshows.com live when you start it, so you get the trade shows as they are listed that day.

## About this Actor

This example demonstrates how to use [Trade Show Scraper - Worldwide Trade Fair Calendar](https://apify.com/pshivam/trade-show-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/pshivam/trade-show-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/pshivam/trade-show-scraper.md

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`).