Get started

Create and setup your API key

Go to the Exa Dashboard
Click on “API Keys” in the left sidebar
Click “Create API Key”
Give your key a name and click “Create”
Copy your API key and store it securely - you won’t be able to see it again!

Get your Exa API key

Create a .env file

Create a file called .env in the root of your project and add the following line.

EXA_API_KEY=your api key without quotes

Make an API request

Use our Python or JavaScript SDKs, or call the API directly with cURL.

Install the latest version of the python SDK with pip. If you want to store your API key in a .env file, make sure to install the dotenv library.

pip install exa-py
pip install python-dotenv

Create a file called webset.py and add the code below:

python

from exa_py import Exa
from dotenv import load_dotenv
from exa_py.websets.types import CreateWebsetParameters, CreateEnrichmentParameters

import os

load_dotenv()
exa = Exa(os.getenv('EXA_API_KEY'))

# Create a Webset with search and enrichments
webset = exa.websets.create(
    params=CreateWebsetParameters(
        search={
            "query": "Top AI research labs focusing on large language models",
            "count": 5
        },
        enrichments=[
            CreateEnrichmentParameters(
                description="LinkedIn profile of VP of Engineering or related role",
                format="text",
            ),
        ],
    )
)

print(f"Webset created with ID: {webset.id}")

# Wait until Webset completes processing
webset = exa.websets.wait_until_idle(webset.id)

# Retrieve Webset Items
items = exa.websets.items.list(webset_id=webset.id)
for item in items.data:
    print(f"Item: {item.model_dump_json(indent=2)}")

Install the latest version of the python SDK with pip. If you want to store your API key in a .env file, make sure to install the dotenv library.

pip install exa-py
pip install python-dotenv

Create a file called webset.py and add the code below:

python

from exa_py import Exa
from dotenv import load_dotenv
from exa_py.websets.types import CreateWebsetParameters, CreateEnrichmentParameters

import os

load_dotenv()
exa = Exa(os.getenv('EXA_API_KEY'))

# Create a Webset with search and enrichments
webset = exa.websets.create(
    params=CreateWebsetParameters(
        search={
            "query": "Top AI research labs focusing on large language models",
            "count": 5
        },
        enrichments=[
            CreateEnrichmentParameters(
                description="LinkedIn profile of VP of Engineering or related role",
                format="text",
            ),
        ],
    )
)

print(f"Webset created with ID: {webset.id}")

# Wait until Webset completes processing
webset = exa.websets.wait_until_idle(webset.id)

# Retrieve Webset Items
items = exa.websets.items.list(webset_id=webset.id)
for item in items.data:
    print(f"Item: {item.model_dump_json(indent=2)}")

Install the latest version of the JavaScript SDK with npm or pnpm:

npm install exa-js

Create a file called webset.js and add the code below:

javascript

import * as dotenv from "dotenv";
import Exa, { CreateWebsetParameters, CreateEnrichmentParameters } from "exa-js";

// Load environment variables
dotenv.config();

async function main() {
  const exa = new Exa(process.env.EXA_API_KEY);

  try {
    // Create a Webset with search and enrichments
    const webset = await exa.websets.create({
      search: {
        query: "Top AI research labs focusing on large language models",
        count: 10
      },
      enrichments: [
        {
          description: "Estimate the company'\''s founding year",
          format: "number"
        }
      ],
    });

    console.log(`Webset created with ID: ${webset.id}`);

    // Wait until Webset completes processing
    const idleWebset = await exa.websets.waitUntilIdle(webset.id, {
      timeout: 60000,
      pollInterval: 2000,
      onPoll: (status) => console.log(`Current status: ${status}...`)
    });

    // Retrieve Webset Items
    const items = await exa.websets.items.list(webset.id, { limit: 10 });
    for (const item of items.data) {
      console.log(`Item: ${JSON.stringify(item, null, 2)}`);
    }
  } catch (error) {
    console.error("Error:", error);
  }
}

main();

Pass the following command to your terminal to create a Webset:

bash

curl --request POST \
  --url https://api.exa.ai/websets/v0/websets/ \
  --header 'accept: application/json' \
  --header 'content-type: application/json' \
  --header "x-api-key: ${EXA_API_KEY}" \
  --data '{
    "search": {
      "query": "Top AI research labs focusing on large language models",
      "count": 5
    },
    "enrichments": [
      {
        "description": "Find the company'\''s founding year",
        "format": "number"
      }
    ]
  }'

To check the status of your Webset:

bash

curl --request GET \
  --url https://api.exa.ai/websets/v0/websets/{WEBSET_ID} \
  --header 'accept: application/json' \
  --header "x-api-key: ${EXA_API_KEY}"

To list items in your Webset:

bash

curl --request GET \
  --url https://api.exa.ai/websets/v0/websets/{WEBSET_ID}/items \
  --header 'accept: application/json' \
  --header "x-api-key: ${EXA_API_KEY}"

Or you can use the expand parameter to get the latest 100 within your Webset:

bash

curl --request GET \
  --url https://api.exa.ai/websets/v0/websets/{WEBSET_ID}?expand=items \
  --header 'accept: application/json' \
  --header "x-api-key: ${EXA_API_KEY}"

What’s next?

Learn how Websets work and understand the event-driven process
Configure Monitors to automatically receive continuous updates for your Websets
Configure webhooks to receive real-time updates as items are added into your Websets
Learn about Enrichments to extract specific data points
See how to Manage Items in your Webset

On this page

Create and setup your API key
Create a .env file
Make an API request
What’s next?

Create and setup your API key

Go to the Exa Dashboard
Click on “API Keys” in the left sidebar
Click “Create API Key”
Give your key a name and click “Create”
Copy your API key and store it securely - you won’t be able to see it again!

Get your Exa API key

Create a .env file

Create a file called .env in the root of your project and add the following line.

EXA_API_KEY=your api key without quotes

Make an API request

Use our Python or JavaScript SDKs, or call the API directly with cURL.

Install the latest version of the python SDK with pip. If you want to store your API key in a .env file, make sure to install the dotenv library.

pip install exa-py
pip install python-dotenv

Create a file called webset.py and add the code below:

python

from exa_py import Exa
from dotenv import load_dotenv
from exa_py.websets.types import CreateWebsetParameters, CreateEnrichmentParameters

import os

load_dotenv()
exa = Exa(os.getenv('EXA_API_KEY'))

# Create a Webset with search and enrichments
webset = exa.websets.create(
    params=CreateWebsetParameters(
        search={
            "query": "Top AI research labs focusing on large language models",
            "count": 5
        },
        enrichments=[
            CreateEnrichmentParameters(
                description="LinkedIn profile of VP of Engineering or related role",
                format="text",
            ),
        ],
    )
)

print(f"Webset created with ID: {webset.id}")

# Wait until Webset completes processing
webset = exa.websets.wait_until_idle(webset.id)

# Retrieve Webset Items
items = exa.websets.items.list(webset_id=webset.id)
for item in items.data:
    print(f"Item: {item.model_dump_json(indent=2)}")

Install the latest version of the python SDK with pip. If you want to store your API key in a .env file, make sure to install the dotenv library.

pip install exa-py
pip install python-dotenv

Create a file called webset.py and add the code below:

python

from exa_py import Exa
from dotenv import load_dotenv
from exa_py.websets.types import CreateWebsetParameters, CreateEnrichmentParameters

import os

load_dotenv()
exa = Exa(os.getenv('EXA_API_KEY'))

# Create a Webset with search and enrichments
webset = exa.websets.create(
    params=CreateWebsetParameters(
        search={
            "query": "Top AI research labs focusing on large language models",
            "count": 5
        },
        enrichments=[
            CreateEnrichmentParameters(
                description="LinkedIn profile of VP of Engineering or related role",
                format="text",
            ),
        ],
    )
)

print(f"Webset created with ID: {webset.id}")

# Wait until Webset completes processing
webset = exa.websets.wait_until_idle(webset.id)

# Retrieve Webset Items
items = exa.websets.items.list(webset_id=webset.id)
for item in items.data:
    print(f"Item: {item.model_dump_json(indent=2)}")

Install the latest version of the JavaScript SDK with npm or pnpm:

npm install exa-js

Create a file called webset.js and add the code below:

javascript

import * as dotenv from "dotenv";
import Exa, { CreateWebsetParameters, CreateEnrichmentParameters } from "exa-js";

// Load environment variables
dotenv.config();

async function main() {
  const exa = new Exa(process.env.EXA_API_KEY);

  try {
    // Create a Webset with search and enrichments
    const webset = await exa.websets.create({
      search: {
        query: "Top AI research labs focusing on large language models",
        count: 10
      },
      enrichments: [
        {
          description: "Estimate the company'\''s founding year",
          format: "number"
        }
      ],
    });

    console.log(`Webset created with ID: ${webset.id}`);

    // Wait until Webset completes processing
    const idleWebset = await exa.websets.waitUntilIdle(webset.id, {
      timeout: 60000,
      pollInterval: 2000,
      onPoll: (status) => console.log(`Current status: ${status}...`)
    });

    // Retrieve Webset Items
    const items = await exa.websets.items.list(webset.id, { limit: 10 });
    for (const item of items.data) {
      console.log(`Item: ${JSON.stringify(item, null, 2)}`);
    }
  } catch (error) {
    console.error("Error:", error);
  }
}

main();

Pass the following command to your terminal to create a Webset:

bash

curl --request POST \
  --url https://api.exa.ai/websets/v0/websets/ \
  --header 'accept: application/json' \
  --header 'content-type: application/json' \
  --header "x-api-key: ${EXA_API_KEY}" \
  --data '{
    "search": {
      "query": "Top AI research labs focusing on large language models",
      "count": 5
    },
    "enrichments": [
      {
        "description": "Find the company'\''s founding year",
        "format": "number"
      }
    ]
  }'

To check the status of your Webset:

bash

curl --request GET \
  --url https://api.exa.ai/websets/v0/websets/{WEBSET_ID} \
  --header 'accept: application/json' \
  --header "x-api-key: ${EXA_API_KEY}"

To list items in your Webset:

bash

curl --request GET \
  --url https://api.exa.ai/websets/v0/websets/{WEBSET_ID}/items \
  --header 'accept: application/json' \
  --header "x-api-key: ${EXA_API_KEY}"

Or you can use the expand parameter to get the latest 100 within your Webset:

bash

curl --request GET \
  --url https://api.exa.ai/websets/v0/websets/{WEBSET_ID}?expand=items \
  --header 'accept: application/json' \
  --header "x-api-key: ${EXA_API_KEY}"

What’s next?

Learn how Websets work and understand the event-driven process
Configure Monitors to automatically receive continuous updates for your Websets
Configure webhooks to receive real-time updates as items are added into your Websets
Learn about Enrichments to extract specific data points
See how to Manage Items in your Webset

On this page

Create and setup your API key
Create a .env file
Make an API request
What’s next?

​Create and setup your API key

Get your Exa API key

​Create a .env file

​Make an API request

​What’s next?

Changelog

​Create and setup your API key

Get your Exa API key

​Create a .env file

​Make an API request

​What’s next?

Create and setup your API key

Create a .env file

Make an API request

What’s next?

Create and setup your API key

Create a .env file

Make an API request

What’s next?