Integration
Connect Ortto to ScraperAPI
When Fields Updated fires in Ortto, your agent runs Add DataPipeline project in ScraperAPI. 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 Ortto and ScraperAPI to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Ortto can start in ScraperAPI
When Fields Updated in Ortto
then Add DataPipeline project in ScraperAPI
When New Activity Occurred in Ortto
then Update DataPipeline project in ScraperAPI
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 Ortto and ScraperAPI
Triggers and actions 4 triggers · 20 actions
Trigger
Fields UpdatedTriggers when the specified field(s) of a record have been updated in your Ortto account.
Trigger
New Activity OccurredTriggers when a new Ortto activity occurs.
Trigger
New Record CreatedTriggers when a new record (contact or organization) has been added to your Ortto account.
Trigger
Tag Added/RemovedTriggers when a tag has beed added to, or removed from, a record.
Action
Add Custom FieldCreate a new custom field on the person or organization schema in Ortto.
Action
Create RecordCreate a new record (person, organization), or update an existing record in your Ortto account.
Action
Delete RecordArchive, restore, or permanently delete a person or organization record in Ortto.
Action
Get RecordFetches one or more people, or one or more accounts, by their Ortto ids, returning whichever fields you ask for.
Action
List ActivitiesRetrieve the activity feed for a given contact in Ortto.
Action
Opt Out From SMSOpt out a person from all SMS communications.
Action
Search or Create RecordsSearch your Ortto data for a record based on the provided field or optionally create one if none is found.
Action
Tag/Untag RecordsAdds or removes tags on a person or an account in Ortto, matching the record by email address or account name.
Action
Unsubscribe a PersonUnsubscribe a person from all emails.
Action
Update Audience SubscriptionSubscribe or unsubscribe a person to/from an Ortto audience.
Action
Add async scrape jobSubmit an asynchronous scraping job.
Action
Add async scrape jobs in batchSubmit many URLs as async jobs in one call.
Action
Add DataPipeline projectCreate a DataPipeline project with input list, schedule and settings.
Action
Cancel Crawler JobCancel an active crawler job by its job ID.
Action
Create Crawler JobStart a one-off crawler job that follows links from a starting URL and streams page results to a webhook.
Action
Delete DataPipeline projectArchive a DataPipeline project.
Action
Extract Data From URLExtract data from a URL — HTML, Markdown, plain text, or parsed JSON. Handles proxies, browser rendering, and CAPTCHAs.
Action
Get account usageReturn plan limits, request counts, failed request count and concurrent requests.
Action
Get Structured DataRetrieve parsed data from supported source categories. Choose a category and operation to get clean JSON.
Action
Update DataPipeline projectEdit a DataPipeline project's settings/schedule/input.
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
What our customers say
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Questions
Ortto and ScraperAPI, answered
What can start an automation from Ortto?
Any of Ortto's 4 triggers in the catalog, including Fields Updated, New Activity Occurred, New Record Created and Tag Added/Removed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in ScraperAPI when something happens in Ortto?
Any of ScraperAPI's 10 actions, including Create Crawler Job, Update DataPipeline project, Add async scrape job and Add async scrape jobs in batch. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from ScraperAPI to Ortto?
ScraperAPI has no triggers in the catalog today, so automations start in Ortto. If you need the other direction, ask: your agent reads ScraperAPI's API documentation and adds it.
Do I have to build a connector for Ortto or ScraperAPI?
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.
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.