Integration
Connect Pipefile to ScrapeGraphAI
When File Request Created fires in Pipefile, your agent runs Create Monitor in ScrapeGraphAI. 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 Pipefile and ScrapeGraphAI 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 Pipefile can start in ScrapeGraphAI
When File Request Created in Pipefile
then Create Monitor in ScrapeGraphAI
When File Request Created in Pipefile
then Extract Data From URL in ScrapeGraphAI
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 Pipefile and ScrapeGraphAI
Triggers and actions 1 trigger · 19 actions
Trigger
File Request CreatedTriggers when a file request is created.
Action
Add File Request From TemplateCreate a new file request from an existing template for one recipient (name/email/phone), optionally on behalf of a team member via X-Pipefile-On-Behalf-Of.
Action
Create ContactAdd to contacts
Action
Delete ContactDelete a contact by id. Returns 204 No Content on success.
Action
Get ContactRetrieve one contact by id.
Action
Get File RequestRetrieve detailed information about one file request by id, including contents, items, files, and tracking events.
Action
List ContactsRetrieve a paginated list of contacts, filterable by name/email/phone partial match.
Action
List File Request TemplatesRetrieve the list of file request templates available for creating new file requests, with optional name search.
Action
Search File RequestsFinds all file requests matching this search query (contact name, email, tags, etc).
Action
Send RequestCreate and send a new request
Action
Update ContactUpdate name/email/phone of an existing contact by id.
Action
Create MonitorCreates a monitor that fetches a web page on a cron schedule, captures it in the chosen formats and records changes between runs.
Action
Delete monitorPermanently deletes a monitor and its tick history.
Action
Extract Data From URLUses AI to extract structured data from a web page (by URL or supplied HTML) according to your natural-language prompt.
Action
Get a Past ResultReturns the full stored record of a past ScrapeGraphAI request (scrape, extract, search, crawl page, monitor tick or schema generation) by its ID, including its parameters and result.
Action
Get creditsReturns the ScrapeGraphAI account's remaining credits and total credits used.
Action
Get Monitor ActivityReturns the recent tick history of a monitor, including each tick's status, timing, whether the captured content changed, and per-format diffs.
Action
List historyReturns your account's recent ScrapeGraphAI requests, newest first, optionally filtered by service or session ID.
Action
Scrape a URLFetches a web page and returns its content in one or more formats, such as markdown, HTML, links, images, a summary, structured JSON, branding or a screenshot.
Action
Search WebSearches the web for a natural-language question and returns an AI-extracted answer along with the source URLs it used.
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
Pipefile and ScrapeGraphAI, answered
What can start an automation from Pipefile?
Any of Pipefile's 1 trigger in the catalog, including File Request Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in ScrapeGraphAI when something happens in Pipefile?
Any of ScrapeGraphAI's 9 actions, including Create Monitor, Extract Data From URL , Get a Past Result and Get credits. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from ScrapeGraphAI to Pipefile?
ScrapeGraphAI has no triggers in the catalog today, so automations start in Pipefile. If you need the other direction, ask: your agent reads ScrapeGraphAI's API documentation and adds it.
Do I have to build a connector for Pipefile or ScrapeGraphAI?
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.