Integration
Connect Trengo to ScraperAPI
When New Internal Note fires in Trengo, 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 Trengo 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 Trengo can start in ScraperAPI
When New Internal Note in Trengo
then Add 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 Trengo and ScraperAPI
Triggers and actions 3 triggers · 25 actions
- New Internal Note
Fires when an internal note is added to a Trengo ticket.
- New Outbound Message
Triggers when an outbound message is created.
- Ticket Label Added
Triggers when a label is added to a conversation.
- Add internal note to ticket
Adds an internal note (visible only to agents) to a Trengo ticket.
- Add ticket
Create a new support ticket.
- Add ticket label
Attaches an existing label to a Trengo ticket.
- Create a Contact
Creates a contact on a Trengo channel. If a contact with the same identifier already exists on that channel, Trengo returns the existing contact instead of creating a duplicate.
- Create webhook
Subscribes a URL to one Trengo webhook event type. Used by Trengo instant triggers to register their delivery URL on activation.
- Delete contact
Delete a contact by id.
- Delete ticket
Delete a ticket by id.
- Find a Contact
Returns the Trengo contacts that match the search term.
- Get contact
Retrieve a single Trengo contact by its id.
- Get webhook
Fetches a webhook by ID, including the event it listens for, the address it sends to and its signing secret. An error occurs if the webhook is not found.
- List contacts
List all contacts.
- List labels
Lists the ticket labels defined in the Trengo account (first page).
- List tickets
Returns all tickets the connected user is authorized to see, optionally filtered by status, contact, users, channels, labels, last message type or update time.
- Send a Message
Sends a reply message on an existing Trengo ticket, over the ticket's own channel.
- Update contact
Update an existing contact by id.
- Add async scrape job
Submit an asynchronous scraping job.
- Add async scrape jobs in batch
Submit many URLs as async jobs in one call.
- Add DataPipeline project
Create a DataPipeline project with input list, schedule and settings.
- Cancel Crawler Job
Cancel an active crawler job by its job ID.
- Create Crawler Job
Start a one-off crawler job that follows links from a starting URL and streams page results to a webhook.
- Delete DataPipeline project
Archive a DataPipeline project.
- Extract Data From URL
Extract data from a URL — HTML, Markdown, plain text, or parsed JSON. Handles proxies, browser rendering, and CAPTCHAs.
- Get account usage
Return plan limits, request counts, failed request count and concurrent requests.
- Get Structured Data
Retrieve parsed data from supported source categories. Choose a category and operation to get clean JSON.
- Update DataPipeline project
Edit 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
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Questions
Trengo and ScraperAPI, answered
What can start an automation from Trengo?
Any of Trengo's 3 triggers in the catalog, including New Internal Note, New Outbound Message and Ticket Label Added. Describe the moment in plain language and your agent picks the right one.
What can your agent do in ScraperAPI when something happens in Trengo?
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 Trengo?
ScraperAPI has no triggers in the catalog today, so automations start in Trengo. 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 Trengo 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.