Connect our tools to your apps

Our tools run on Apify, so they work with all Apify integrations. You can send results to a spreadsheet, a chat, a database or an AI app. Most integrations need no code. You connect blocks in a visual editor.

This page shows how integrations work and how to set up the popular ones. It also has example flows you can copy.

• Google Sheets
• Google Drive
• Slack
• Make
• Zapier
• n8n
• OpenAI
• LangChain
• Airtable
• HubSpot
• Snowflake
• Airbyte
• GitHub
• Python
• JavaScript

You connect these apps through Apify integrations, the API or CSV files. The names and logos belong to their owners. We are not partners of these companies.

How Apify integrations work

Every run of our tools saves its results in a dataset. A dataset is the results table of one run. An integration takes the data from the dataset and moves it to another app.

There are three common ways:

Most flows follow the same pattern:

Google Sheets

Google Sheets is the most common place for results. There are four easy ways to send scraped data to Google Sheets.

1. Export and import (one time)

1. Open the dataset of your run.
2. Click Export and choose CSV.
3. In Google Sheets, click File → Import and upload the CSV.

This is good for a one-time job.

2. Make, Zapier or n8n (automatic)

This is the best way for regular data. The flow waits for a finished run. Then it adds the rows to your sheet. Make's Apify docs show this exact flow with the Google Sheets "Bulk Add Rows" module. Zapier and n8n have Google Sheets steps too. See the sections below.

3. Google Drive upload

Apify has an "Upload results to GDrive" integration. Open your Actor or task, go to Integrations, and connect your Google account. After each successful run, Apify saves the results file to an Apify Uploads folder in your Drive. You pick the file name and format, for example CSV.

4. A Sheets export Actor

The Apify Store has community Actors that copy a dataset into a sheet. Read their reviews and pricing before you use one.

Make

Make is a visual automation tool. You drag blocks, called modules, onto a canvas. The Apify Make integration has these modules:

Set up a Make scenario

1. In Make, create a new scenario.
2. Add the Apify module Watch Task Runs. Connect your Apify account.
3. Pick your saved task, for example "Daily Greenhouse jobs".
4. Add Apify → Get Dataset Items. Map the dataset ID from the trigger.
5. Add Google Sheets → Bulk Add Rows. Pick your sheet and map the fields.
6. Turn the scenario on.

Now every finished run adds rows to your sheet.

Zapier

Zapier connects thousands of apps with "Zaps". A Zap is a trigger plus one or more actions. The Apify Zapier app has:

Example Zap

• Trigger: Apify → Finished Task Run (your task).
• Search: Apify → Fetch Dataset Items.
• Action: Slack → Send Channel Message, or Google Sheets → Create Spreadsheet Row.

You can also start a run from Zapier. For example: when a new row appears in a sheet, Run Actor with the URL from that row.

n8n

n8n is a workflow tool you can use in the cloud or host yourself. The Apify n8n node (@apify/n8n-nodes-apify) works on both.

What the node can do:

• Actors: Run an Actor, Run an Actor and get dataset, Get last run.
• Actor tasks: Run task, Run task and get dataset.
• Actor runs: Get run, Get runs, Abort a run.
• Storage: Get dataset items, Get key-value store record.
• Trigger: "On new Apify event", for example when a run succeeds or fails.

You sign in with your Apify API token. On n8n Cloud, you can also use OAuth2 ("Connect my account").

Example n8n workflow

1. Schedule Trigger: every Monday at 07:00.
2. Apify → Run task and get dataset: your "Competitor prices" task.
3. Filter: keep rows where the price changed.
4. Google Sheets → Append row, and Slack → Send message with a short summary.

LangChain and LlamaIndex

These are code libraries for AI apps. They can run our tools and load the results as documents. A document is a piece of text with some extra data, ready for an AI model.

Apify LangChain

The Apify LangChain package is langchain-apify (Python).

• ApifyActorsTool lets a LangChain agent run any Actor as a tool.
• ApifyDatasetLoader loads an existing dataset as LangChain documents.
• ApifyWrapper runs an Actor and returns its output as documents.

# pip install langchain-apify
from langchain_apify import ApifyDatasetLoader
from langchain_core.documents import Document

loader = ApifyDatasetLoader(
    dataset_id="YOUR_DATASET_ID",
    dataset_mapping_function=lambda item: Document(
        page_content=item.get("markdown", ""),
        metadata={"source": item.get("url")},
    ),
)
docs = loader.load()

This works well with Website to Markdown for RAG: Crawl & Changed Pages or Fast Webpage to Markdown API for AI Agents. They save a markdown field for each page.

LlamaIndex

The package llama-index-readers-apify has two readers. ApifyActor runs an Actor and loads the output. ApifyDataset loads an existing dataset. You add a small function that turns each row into a document.

For AI apps like Claude and Cursor, see AI agents. They use the Apify MCP server.

Webhooks and API

If you write code, you have full control. Use Apify webhooks and the API.

Webhooks

A webhook is a message that Apify sends to your URL when something happens. For example, when a run succeeds.

1. Open your Actor or task in Apify Console.
2. Go to the Integrations tab and add a webhook.
3. Choose the event, for example ACTOR.RUN.SUCCEEDED.
4. Enter your URL.

The message tells your app the run ID. Your app then loads the data.

Load the data with the API

GET https://api.apify.com/v2/datasets/DATASET_ID/items?format=json
Authorization: Bearer YOUR_API_TOKEN

Change format=json to csv, xlsx, jsonl, xml, html or rss if you need another format. Apify has official API clients for Python and JavaScript. See How it works for code.

Other built-in integrations

In the Integrations tab of an Actor or task, you can also find:

• Slack: get a message in a channel when a run ends. You can even start a task from Slack with /apify call.
• Google Drive: upload results after each run.
• GitHub: listed in the Apify integrations docs.
• Data apps: Apify docs also list Airtable, HubSpot, Snowflake and Airbyte.
• Actor-to-Actor: start another Actor when a run ends. For example, scrape websites, then verify the emails you found.

Apify adds new integrations often. See the full list in the Apify integrations docs.

Example flows

Here are real flows you can build with our tools. Each one needs a task, a schedule and one automation tool. Want a ready workflow for a common task? See the use cases.

Example: price watch with n8n

Browse tools for your own flow in the catalog, for example E-commerce & prices, Reviews & app stores or Leads, companies & validation.

Questions

Last updated: 16 October 2026