--- title: "Connect Habitify to Apify - APIANT.ai" description: "When \"New Log\" fires in Habitify, your agent runs \"Run Task\" in Apify. Describe the whole flow and it is built, tested on every scenario and kept running." canonical: "https://apiant.ai/connect/habitify-to-apify" --- # Connect Habitify to Apify When **New Log** fires in [Habitify](https://apiant.ai/connections/habitify), your agent runs **Run Task** in [Apify](https://apiant.ai/connections/apify). Describe the whole flow and it is built, tested on every scenario and kept running. Habitify **4** triggers Habitify **15** actions Apify **20** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Habitify and Apify to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Habitify can start in Apify - When **New Log** in Habitify then **Run Task** in Apify - When **New Mood** in Habitify then **Set Key-Value Store Record** in Apify Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Habitify and Apify ## Triggers and actions 4 triggers · 35 actions - Trigger **New Log** Triggers when a new log entry is recorded for the selected habit. - Trigger **New Mood** Triggered when a new mood is logged on a note for the chosen habit. - Trigger **New Note** Triggers when a new note is added to the selected habit. - Trigger **New Status** Triggers when a habit is marked completed, skipped or failed for a day. - Action **Add area** Creates a new area for organizing and categorizing habits, and returns the created area. - Action **Add Log** Adds a log entry with a specific value and unit to a measurable habit, for today or a chosen date. - Action **Add Note** Adds a note to a habit, with any combination of text, a mood level and photos. Returns the note that was created. - Action **Complete habit** Marks a habit as completed for a specific date, with Habitify working out the log value from the habit's goal. - Action **Delete habit** Permanently deletes a habit along with its logs, notes, goals and reminders. This cannot be undone. - Action **Delete habit log** Permanently deletes one log entry from a habit, removing the recorded value from its tracking history. - Action **Fail habit** Marks a habit as failed for a specific date, defaulting to today. - Action **Get habit** Returns the full details of a habit, including its schedule, goals, reminders, areas and time-of-day periods. An error occurs if the habit is not found. - Action **Get Habit Journal** Returns all your habits for a given day, with each habit's completion status, current streak and progress toward its goal. - Action **Get habit statistics** Returns aggregated statistics for a habit over an optional date range, including completion, skip and failure counts, total and average logged values, and a day-by-day progress breakdown. - Action **List areas** Returns all of the areas in the Habitify account, the groups used to organize habits such as Health or Work. - Action **List habit logs** Returns the log entries recorded for a habit, newest first, optionally limited to a date range. - Action **List habit notes** Returns the notes attached to a habit, including each note's text, mood level, photos and creation time. - Action **List habits** Returns the habits in the account, optionally filtered by archived status, area, habit type or time of day. - Action **Skip habit** Marks a habit as skipped for a specific date, for days you intentionally decide not to perform it. Returns Habitify's confirmation message. - Action **Abort Actor build** Aborts an Actor build that is starting or running and returns the build's details. Builds that already finished, failed, timed out or are aborting are left unchanged. - Action **Abort Actor run** Aborts a running or starting Apify Actor run and returns the run's details, including its updated status. Runs that already finished, failed or timed out are left unchanged. - Action **Add dataset items** Appends one or more items to the end of an Apify dataset. - Action **Add request to request queue** Adds a URL request to an Apify request queue, or returns the existing request if one with the same unique key is already queued. - Action **Delete key-value store record** Deletes a record, identified by its key, from an Apify key-value store. - Action **Fetch Dataset Items** Returns all items stored in an Apify dataset, such as the results scraped by an Actor run, with optional field selection and cleanup. - Action **Find Last Actor Run** Returns the most recent run of an Actor, optionally limited to runs with a given status or started a given way, including its status, timing and the ids of its default dataset and key-value store. - Action **Find Last Task Run** Returns the most recent run of an Apify Actor task, optionally limited to runs with a given status or origin. - Action **Get Actor** Returns all the details of an Apify Actor, including its versions, default run options, statistics and pricing. - Action **Get Actor run** Returns the details of one Actor run, including its status, timing, statistics, costs and the IDs of its default dataset, key-value store and request queue. Can optionally wait up to 60 seconds for the run to finish. - Action **Get Key-Value Store Record** Returns the value stored under a key in an Apify key-value store, such as an Actor run's output or input record. - Action **Get task** Returns the details of an Apify Actor task, including its saved input, run options, and run statistics. - Action **List Actor runs** Returns the runs of one of your Apify Actors, with each run's status, start and finish times, cost and the IDs of its default dataset and key-value store. Can be filtered by status and start date. - Action **List Actors** Returns the Actors you created or have used in your Apify account, with each Actor's ID, name, owner username, title and usage stats. - Action **List datasets** Returns the datasets in your Apify account, with each dataset's id, name, item count and timestamps. - Action **List tasks** Returns the Actor tasks you have created or used, with each task's id, name, Actor and run stats. - Action **Run Actor** Starts a run of an Apify Actor with the input you provide and returns the new run, including its status and the IDs of its default dataset and key-value store. - Action **Run Task** Starts a run of one of your saved Apify Actor tasks, optionally overriding parts of its input, and returns the new run with its status and storage IDs. - Action **Scrape Single URL** Scrapes one web page with Apify's Website Content Crawler and returns its cleaned text, Markdown, title and metadata. Waits for the scrape to finish (up to 5 minutes). - Action **Set Key-Value Store Record** Saves a value under a key in an Apify key-value store, replacing any existing record with the same key. ## Each app on its own - [ **Habitify** Habitify is a habit tracker that helps you form habits that actually stick.](https://apiant.ai/connections/habitify) - [ **Apify** Apify is a full-stack platform where developers build, deploy, and monitor web scraping tools.](https://apiant.ai/connections/apify) Reviews ## What our customers say ## More from Habitify - [ **Habitify to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/habitify-to-hubspot) - [ **Habitify to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/habitify-to-salesforce) - [ **Habitify to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/habitify-to-slack) - [ **Habitify to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/habitify-to-mailchimp) - [ **Habitify to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/habitify-to-stripe) - [ **Habitify to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/habitify-to-shopify) ## More into Apify - [ **HubSpot to Apify** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-apify) - [ **Salesforce to Apify** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-apify) - [ **Slack to Apify** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-apify) - [ **Google Sheets to Apify** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-apify) - [ **Gmail to Apify** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-apify) - [ **Google Calendar to Apify** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-apify) Questions ## Habitify and Apify, answered ### ### What can start an automation from Habitify? Any of Habitify's 4 triggers in the catalog, including New Log, New Mood, New Note and New Status. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Apify when something happens in Habitify? Any of Apify's 20 actions, including Abort Actor build, Abort Actor run, Add dataset items and Add request to request queue. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Apify to Habitify? Apify has no triggers in the catalog today, so automations start in Habitify. If you need the other direction, ask: your agent reads Apify's API documentation and adds it. ### ### Do I have to build a connector for Habitify or Apify? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Habitify and Apify without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.