Integration
Connect Apollo to Apify
When Account Updated fires in Apollo, your agent runs Run Task in Apify. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Apollo and Apify to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What Apollo can start in Apify
When Account Updated in Apollo
then Run Task in Apify
When Contact Updated in Apollo
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 Apollo and Apify
Triggers and actions 4 triggers · 28 actions
Trigger
Account UpdatedPolls Apollo accounts/search for new or updated accounts (dedup on MD5 of the record; accounts/search returns no updated_at). Apollo has no record-change webhook API, so this is a polling trigger.
Trigger
Contact UpdatedPolls Apollo contacts/search for new or updated contacts (dedup on MD5 of the record). Apollo has no record-change webhook API, so this is a polling trigger.
Trigger
New AccountPolls Apollo accounts/search for newly created accounts (dedup on account id). Apollo has no record-change webhook API, so this is a polling trigger.
Trigger
New ContactPolls Apollo contacts/search for newly created contacts (dedup on contact id). Apollo has no record-change webhook API, so this is a polling trigger.
Action
Create AccountAn Account is a company that your team has added to Apollo.
Action
Create ContactA Contact is a person your team has added to Apollo.
Action
Create DealDeals are records that you can use to track possible opportunities with your prospective customers.
Action
Create TaskCreates a task for the specified Apollo contact (via /tasks/bulk_create with a single contact).
Action
Find ContactFind a contact in your Apollo instance by searching for their email. If you have multiple contacts with the same email address, this search returns the contact that was created first.
Action
Find DealReturns up to 100 deals (opportunities) that match the specified name. Leave name blank to return all deals.
Action
Find TaskReturns up to 100 tasks for the specified contact. Leave contact_id blank to return all tasks.
Action
Update AccountUpdate an existing Account.
Action
Update ContactUpdate an already existing Contact.
Action
Update DealUpdate an already existing Deal.
Action
Abort Actor buildAborts 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 runAborts 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 itemsAppends one or more items to the end of an Apify dataset.
Action
Delete key-value store recordDeletes a record, identified by its key, from an Apify key-value store.
Action
Fetch Dataset ItemsReturns 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 RunReturns 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 RunReturns the most recent run of an Apify Actor task, optionally limited to runs with a given status or origin.
Action
Get ActorReturns all the details of an Apify Actor, including its versions, default run options, statistics and pricing.
Action
Get Actor runReturns 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 RecordReturns the value stored under a key in an Apify key-value store, such as an Actor run's output or input record.
Action
Get taskReturns the details of an Apify Actor task, including its saved input, run options, and run statistics.
Action
List Actor runsReturns 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 ActorsReturns 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 datasetsReturns the datasets in your Apify account, with each dataset's id, name, item count and timestamps.
Action
List tasksReturns the Actor tasks you have created or used, with each task's id, name, Actor and run stats.
Action
Run ActorStarts 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 TaskStarts 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
Set Key-Value Store RecordSaves a value under a key in an Apify key-value store, replacing any existing record with the same key.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
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Questions
Apollo and Apify, answered
What can start an automation from Apollo?
Any of Apollo's 4 triggers in the catalog, including Account Updated, Contact Updated, New Account and New Contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Apify when something happens in Apollo?
Any of Apify's 18 actions, including Abort Actor build, Abort Actor run, Add dataset items and Fetch Dataset Items. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Apify to Apollo?
Apify has no triggers in the catalog today, so automations start in Apollo. 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 Apollo 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 Apollo 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.