# Find emails of coffee shops on Instagram

**Use case:** 

Get public business emails and phone numbers from coffee shops' and roasters' Instagram profiles, with city, category and followers. The main price is charged only when a contact is found; other profiles cost just the check. Paste your own list of usernames or profile URLs. No login needed.

## Input

```json
{
  "usernames": [
    "bluebottle",
    "stumptowncoffee",
    "intelligentsiacoffee",
    "counterculturecoffee",
    "vervecoffee",
    "onyxcoffeelab",
    "lacolombecoffee",
    "ritualcoffee",
    "sightglass",
    "philzcoffee"
  ],
  "onlyWithContact": false,
  "maxProfilesPerKeyword": 100
}
```

## Output

```json
{
  "username": {
    "label": "Username"
  },
  "email": {
    "label": "Email"
  },
  "phone": {
    "label": "Phone"
  },
  "foundIn": {
    "label": "Found in"
  },
  "city": {
    "label": "City"
  },
  "category": {
    "label": "Category"
  },
  "followers": {
    "label": "Followers",
    "format": "number"
  },
  "contactFound": {
    "label": "Contact found",
    "format": "boolean"
  },
  "input": {
    "label": "Input"
  },
  "error": {
    "label": "Not returned"
  },
  "message": {
    "label": "Why"
  }
}
```

## How it works

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

The Instagram Email & Phone Scraper · Pay per Contact Found Actor is ready to run with the inputs already set for "Find emails of coffee shops on Instagram". [Sign up or log in](https://console.apify.com/create-task-from-example/9mpYegMYxhq6Q1dZ3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find emails of coffee shops on Instagram" task

The Instagram Email & Phone Scraper · Pay per Contact Found Actor will start running based on the input automatically. You can also change all the input fields, like instagram usernames or profile urls, only profiles with a contact, and more, to match your specific use case.

### 3. Receive the "Find emails of coffee shops on Instagram" 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 username, email, phone, 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 "Find emails of coffee shops on Instagram" task via API](https://apify.com/instagram-data-api/instagram-email-phone-scraper.md).

## FAQ

### What do I pay for?

$2.00 per 1,000 profiles where an email or phone is found and $0.30 per 1,000 profiles checked, on Starter. Duplicates and missing accounts are free.

### Where do the contacts come from?

From the public Email and Call buttons that business accounts show on their profile. Nothing is guessed or bought.

### Does it work for other businesses?

Yes: restaurants, salons, gyms, shops, any business account. Paste their usernames instead.

## About this Actor

This example demonstrates how to use [Instagram Email & Phone Scraper · Pay per Contact Found](https://apify.com/instagram-data-api/instagram-email-phone-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/instagram-data-api/instagram-email-phone-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/instagram-data-api/instagram-email-phone-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`).