Integration
Connect SkedPal to ScraperAPI
When New Completed Task fires in SkedPal, 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 SkedPal and ScraperAPI 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 SkedPal can start in ScraperAPI
When New Completed Task in SkedPal
then Add DataPipeline project in ScraperAPI
When New Task in SkedPal
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 SkedPal and ScraperAPI
Triggers and actions 3 triggers · 16 actions
Trigger
Favorite TasksTriggers when a task is marked as a favorite in SkedPal.
Trigger
New Completed TaskTriggers when a SkedPal task is marked complete.
Trigger
New TaskTriggers when a new task is added in SkedPal.
Action
Find Task by NameFinds SkedPal tasks whose name exactly matches the given text.
Action
Get calendar accountReturns one connected calendar account (Google, Office 365, Exchange or iCloud) by its id, including its type, username and sync configuration.
Action
List calendar accountsReturns every calendar account connected to the SkedPal user, including its provider type, username and sync details.
Action
List calendarsReturns the calendars belonging to a connected calendar account in SkedPal.
Action
Sync calendar accountStarts a sync of a connected SkedPal calendar account and returns whether the sync succeeded.
Action
Update ScheduleAsks SkedPal to recalculate the schedule for the connected user, and returns SkedPal's scheduling result.
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
SkedPal and ScraperAPI, answered
What can start an automation from SkedPal?
Any of SkedPal's 3 triggers in the catalog, including New Completed Task, New Task and Favorite Tasks. Describe the moment in plain language and your agent picks the right one.
What can your agent do in ScraperAPI when something happens in SkedPal?
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 SkedPal?
ScraperAPI has no triggers in the catalog today, so automations start in SkedPal. 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 SkedPal 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.
Can my AI client use SkedPal and ScraperAPI 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.