Integration
Connect Mailparser to OpenGraph.io
When something happens in Mailparser, your agent does the next thing in OpenGraph.io. Describe it in plain language and the automation is built, tested on every branch and kept running.
Build it
What do you want Mailparser and OpenGraph.io to do together?
Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.
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Or work from Claude Code
Install the APIANT plugin for Claude Code and build, edit, test and read run history from your terminal. Every plan gets this, including free, and it spends no assistant credits.
Connect Claude CodeEverything your agent can do with Mailparser and OpenGraph.io
Triggers and actions 2 triggers · 8 actions
Trigger
New Email Parsed (One Request Per Email)Triggered instantly when Mailparser finishes parsing an inbound email, with all of that email's parsed data delivered in a single request. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per Email". Parsed fields bind as {{ trigger.body.* }}. Use the One Request Per Row trigger instead when you are parsing tabular data and want each row handled as its own run.
- New Email Parsed (One Request Per Row)
Triggered instantly for EACH parsed table row when Mailparser finishes parsing an inbound email — one run per row, for tabular data such as invoice line items or price lists. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per row". That row's fields bind as {{ trigger.body.* }}. Use the One Request Per Email trigger instead when you want the whole email's parsed data in a single run.
Action
Audit site Open Graph tagsReads a page's Open Graph, Twitter Card and HTML meta tags so you can see what a link to it will look like when shared.
- Capture Screenshot
Takes a screenshot of a web page and returns a link to the image.
- Convert page to markdown
Turns a web page into clean markdown text, ready to feed an AI step or store as an article.
- Extract page elements
Pulls named pieces out of a web page — headings, links, prices — using CSS selectors, plus the page's plain text.
- Generate embed card
Builds a ready-to-paste embed card for a link, returning the HTML that renders it.
- Query page content
Asks a question about a web page and returns an AI-written answer, optionally shaped into fields you specify.
- Retrieve Link Preview Data
Fetches the title, description, image and site name behind a link, so you can show a rich preview of it.
- Scrape HTML
Fetches the raw HTML of a web page, optionally running its JavaScript first.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.