Email Parser Zendesk Integration: Zendesk Email Parser for Ticket Custom Fields
Zendesk turns the email into a ticket. MailParse turns the email body into ticket fields.
A Zendesk support address creates a ticket from every message, with the sender, subject, and body attached. What it does not do is split structured values out of that body into custom ticket fields, and it flattens HTML tables into plain text. MailParse reads the full body and its table rows, pulls out the fields you name, then exports clean CSV and JSON you load through the Zendesk API, Zapier, or Make.
Last updated August 2026
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Zendesk already turns an inbound email into a ticket through your support address, but it cannot pull a value such as an order number or an account ID out of the message body and write it to a custom ticket field. Native triggers match conditions and set values, they do not extract text. MailParse reads the fields you name from the body and from HTML tables, then hands you clean CSV or JSON you push to the Zendesk Tickets API, Zapier, or Make.
- Named fields
- Pulled from the body Zendesk leaves as text
- HTML tables
- Parses layout the ticket view flattens
- CSV / JSON
- Bulk import or Tickets API into Zendesk
- No code
- Name fields, skip the custom app
Zendesk handles the first half of this problem well. Point a support address at your Zendesk instance and every message that arrives becomes a ticket, with the requester, subject, and body already on the record. Email is one of the standard channels a ticket can originate from, alongside the help center, chat, phone, and the API, so nobody needs a parser just to open a ticket from mail.
The half Zendesk does not handle is the one that costs agents time. When a partner emails an order number, an account ID, a serial number, a policy reference, or a table of returned SKUs, those values sit inside the body as prose. Getting them onto custom ticket fields so you can route, report, and search on them is where the native tooling stops. A trigger fires on conditions and then sets a value you chose in advance; there is no action that reads the third line of the body and writes what it finds into an order number field. The same goes for automations and for macros. Teams either paste the value in by hand on every ticket or commission a custom app against the API.
MailParse is the external parser that closes that gap. Connect the Gmail, Outlook, Microsoft 365, or IMAP mailbox your Zendesk mail arrives in, or forward a sample message to a dedicated parsing address, then name the fields you want, such as order_number, account_id, serial_number, or return_reason. MailParse reads them out of the full body and out of HTML emails with real tables that a ticket view flattens into a wall of text. You get a clean CSV, an Excel workbook, or JSON. From there the data reaches Zendesk the way that suits you: post JSON to the Tickets API, where POST /api/v2/tickets accepts a custom_fields array of field IDs and values, use POST /api/v2/tickets/many to create a batch in one call, or hand the fields to Zapier or Make and let them build the ticket. MailParse records the filename of any attachment for reference; when the value you need is locked inside a PDF, extract that file with a document tool first, then feed the result in. This page is an honest look at where Zendesk native handling is enough and where an external parser does the work it cannot.
What the converter does
Everything you need to turn a pile of email files into a spreadsheet your team can actually use.
Pulls named fields into custom ticket fields
A support address attaches the whole message to the ticket. MailParse reads the order number, account ID, or serial sitting mid-body and returns each as its own column, so the value maps onto a custom ticket field instead of staying buried in a paragraph an agent has to read.
Parses HTML emails and tables
Zendesk has no way to pull table rows out of an HTML email into fields. MailParse parses HTML emails and repeating table rows, so return authorizations, order confirmations, and vendor reports come through as clean columns, one row per line item.
Name fields instead of building a custom app
Doing this natively means a developer writing against the Zendesk API or a paid marketplace app. MailParse reads the fields you name across senders that format the same data differently, so one setup covers many layouts with no code to maintain.
Survives a sender changing their layout
Anything keyed to a fixed position in the body breaks the moment a vendor renames a heading or moves a line. MailParse keeps reading the named fields when the layout drifts, so a formatting change does not silently drop a value into an empty field.
CSV and JSON that load into Zendesk
Send JSON to the Tickets API with a custom_fields array to create or update a ticket per email, batch a backlog through the many endpoint, or hand the fields to Zapier or Make. Prefer a spreadsheet? Take the CSV instead.
Spreadsheet output for everyone else
Not every parsed email belongs on a ticket. Download a formatted Excel workbook or CSV for a returns reconciliation, a monthly volume report, or a teammate who just wants the numbers, without routing the data through Zendesk first.
How to parse email into Zendesk ticket fields
Four steps to capture the values and table rows a Zendesk support address leaves sitting in the body.
Connect or forward
Connect the Gmail, Outlook, Microsoft 365, or IMAP inbox your Zendesk-bound mail arrives in, or forward a sample message to a dedicated MailParse parsing address so the parser sees a real example.
Name your fields
List the values you want on the ticket, including ones buried mid-body and columns inside HTML tables. Describe each field once on a form instead of hiring someone to write against the API.
Choose CSV or JSON
Export a CSV for a bulk load or a report, or point JSON at the Zendesk Tickets API, Zapier, or Make so a ticket is created or updated per email automatically as mail arrives.
Map and reuse
Match each parsed field to a Zendesk custom field ID once, run the backlog in a single pass, and let new mail flow through. Adjust the fields anytime from a form, with no app to redeploy.
Who outgrows native Zendesk email handling
Support teams whose inbound mail carries reference numbers, tables, or vendor formats a support address leaves as plain text.
Ecommerce & retail support
Pull order numbers, SKUs, return reasons, and carrier tracking codes out of customer and marketplace email so tickets arrive already tagged and routable, instead of an agent reading the body to find the order before they can even assign it.
B2B & partner support desks
Partners and resellers send the same request in their own layout every time. Capture account ID, contract reference, and site code from each format into the same custom fields, so reporting by account actually works.
IT & internal service desks
Read asset tags, hostnames, severity, and alert IDs from monitoring and request emails, including the ones that arrive as an HTML table of affected machines, and open a ticket per row rather than one ticket to triage by hand.
Finance & billing queues
Extract invoice numbers, dates, and amounts from billing dispute email into Excel for a reconciliation, then push the summary onto the ticket. When the figure lives inside a PDF, extract the document first, then feed the result in.
MailParse vs native Zendesk email handling
Reads the body into fields
A support address attaches the whole message to the ticket. MailParse pulls the specific values you name out of the body and returns each as its own field, ready to map to a custom field ID.
Handles HTML and tables
The ticket view flattens an HTML table into text an agent has to re-read. MailParse parses HTML emails and table rows into clean columns, one row per line item.
No code to maintain
Native field extraction means a custom app or a marketplace tool built against the API. MailParse reads named fields from a form with no code.
Flexible output
MailParse exports CSV and Excel for spreadsheets and JSON for webhooks, so you bulk import, post to the Tickets API, or route through Zapier or Make.
Ways to get email data into Zendesk, compared
A Zendesk admin has a few honest routes from an inbound message to a filled-in ticket field, and the right one depends on how varied your senders are and how much code you want to own. Here is how they line up, with credit to each native path where it wins. To push tickets as JSON, see the email parser API; for the ITSM side of the same job, the ServiceNow email parser.
| What matters | MailParse | Zendesk support address | Trigger or automation | Custom app on the API |
|---|---|---|---|---|
| What it does | Parses the body and HTML tables into the fields you name, then hands you CSV or JSON with a custom_fields payload | Creates a ticket from every message sent to your support address, body attached | Matches conditions on a ticket and sets values you chose in advance | Your own code reads the body and posts a ticket with custom fields |
| Setup and skills | Name the fields on a form, no code | Add and verify the support address, nothing else | An admin builds it in the UI, no code | A developer builds and then maintains it |
| Extracts body values | Name order_number or account_id and get each back as a field | No, the body arrives as one block of text | No, there is no action that reads text out of the body into a field | Yes, if someone writes and keeps updating the parsing logic |
| Handles attachments | Records the filename for reference; extract a PDF or spreadsheet with a document tool first, then parse the result | Attaches the file to the ticket but does not read it | No, the same limit applies | Only if you also build attachment handling yourself |
| HTML tables | Parses table rows into clean columns, one row per line item | Renders the table for the agent to read, does not extract it | No | Hard, you parse the HTML yourself |
| Holds up when a sender changes format | Reads named fields across varied layouts | Not applicable, it never parsed anything | Not applicable | Breaks when the layout it was written against moves |
| Where Zendesk wins | Does not open, thread, or reply to tickets, that stays with Zendesk | Threading, requester matching, SLAs, and the whole agent workflow | Routing, tagging, SLA targets, and notifications on a filled ticket | Full control if you have the engineering budget |
| Best for | Mixed senders and HTML tables where field values must land on the ticket | Every team, this is the baseline you keep either way | Routing and automation once the fields are already populated | Teams with developer time and one stable, high-volume format |
Capabilities reflect native Zendesk features as of August 2026 and platform behavior changes, so verify in your own instance before you build. Zendesk is a trademark of Zendesk, Inc. MailParse is not affiliated with Zendesk. No pricing is implied here.
Frequently asked questions
Does Zendesk have an email parser?
Not in the sense most people mean. Zendesk parses an inbound message enough to open a ticket: it identifies the requester, takes the subject as the ticket subject, and attaches the body as the first comment. It does not have a point-and-click parser that extracts a value from inside the body into a custom ticket field. That part needs either manual entry, a custom app, or an external parser such as MailParse.
How do I parse an email body in Zendesk?
There is no native way to slice a value out of the body into a field. Triggers and automations match conditions and set values you chose in advance, they do not read text. The practical route is to parse the mail outside Zendesk, name the fields you want, then post them to the Tickets API with a custom_fields array, or hand them to Zapier or Make and let the ticket be built from clean data.
Can a Zendesk trigger fill a custom field from email text?
No. A trigger is a condition plus an action, so it can set a custom field to a fixed value when the subject contains a keyword, but it cannot capture the digits after "Order #" and write them into an order number field. Anything that needs the actual value out of the body requires code against the API or a parser that returns the field ready to map.
How do I create a Zendesk ticket from an email?
Add a support address in Zendesk and either forward mail to it or set it as the destination for your support inbox. Every message that arrives becomes a ticket automatically, with the sender matched to a requester. Nothing extra is needed for that step. A parser only comes in when you also want fields from inside the message on the ticket.
How do I import parsed email data into Zendesk?
Two paths work. Post the JSON MailParse returns to POST /api/v2/tickets with a custom_fields array of field IDs and values to create a ticket per email, or use POST /api/v2/tickets/many to create a batch from a backlog in one call. If you would rather not touch the API, send the same fields through Zapier or Make and let the connector create the ticket.
Can MailParse read data inside email attachments?
MailParse parses the email body and HTML tables, and it records the filename of any attachment for reference, but it does not read the data locked inside a PDF, Word, or spreadsheet file. When the value you need lives inside an attachment, extract that file with a document tool first, then feed the result into your Zendesk load.
Is the Zendesk email parser free?
There is no separate paid email parser to buy from Zendesk, because there is no native one to buy. Turning the email channel on is part of your plan. Getting body values onto ticket fields costs either agent time entering them by hand, developer time building against the API, or a parser subscription. MailParse is the third option and it handles the extraction, not the ticketing.
Does Zendesk AI extract fields from an email?
Zendesk intelligent triage predicts things about a ticket such as intent, language, and sentiment, and that is genuinely useful for routing. Prediction is not extraction though. It classifies the message rather than returning the specific order number, account ID, or table of SKUs it contains, so it does not replace parsing when you need the literal values on the record.
Get the values out of the email body and onto the Zendesk ticket
Connect a mailbox or forward one message and watch the fields and HTML table rows a support address leaves as text come back as clean CSV or JSON, ready for the Tickets API.