Monday.com Email Parser: Extract Email Data into monday.com Board Items and Columns
Turn the email body monday.com files as an Update into named values your board columns can actually sort, filter, and report on
Email to board is good at creating the item. The subject becomes the item name, the body becomes an Update, and the files ride along. What it does not do is read the message: the budget, the due date, the PO number, the rows of a quote table all sit in the Update as text, and somebody fills in the remaining columns by hand. MailParse reads the full email body and HTML table rows, pulls out the fields you name, then exports clean CSV and JSON you import into a board or push through the monday.com API, Zapier, or Make.
Last updated August 2026
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monday.com has no native email parser. Its email integrations create an item and drop the whole message into an Update, so the values you need never land in columns you can sort, filter, or report on. MailParse connects your mailbox, reads the fields you name out of the body and HTML tables, and returns CSV or JSON that maps one email to one item with its columns populated.
- Named fields
- Pulled from the body that lands as an Update
- HTML tables
- Quote and order rows into board columns
- CSV / JSON
- Import or webhook into monday.com
- No code
- Name fields, skip the GraphQL build
Every monday.com board can have its own email address. Send or forward a message to it and monday.com creates an item: the subject line becomes the item name, the body arrives as an Update on that item, and any attached files come with it. For a request that only needs to exist as a card on a board, that is genuinely all you need, and it takes about ten seconds to set up.
The gap opens the moment the email carries data. A supplier confirmation with a PO number and a delivery date. A web form notification with a budget, a company name, and a timeline. A quote with eight line items in an HTML table. monday.com creates the item and parks the whole message in the Update, but the values inside it never become columns. The monday.com support docs are direct about this: you fill in the remaining columns for the new item yourself. A Status column stays blank, a Numbers column stays blank, and nobody can group, filter, or build a dashboard on a figure that only exists inside a paragraph of an Update.
MailParse is the external parser that closes that gap, and it is the same route every other parser takes into monday.com. Connect a Gmail, Outlook, Microsoft 365, or IMAP inbox, or forward a message to a parsing address, then name the fields you want such as po_number, requester_email, due_date, or order_total. MailParse reads them from the full body and from HTML emails with real tables that an Update flattens into a wall of text. You get a clean CSV, an Excel workbook, or JSON. From there you load the data the way that fits: import the CSV into a board and map each column, or send JSON through the monday.com API, Zapier, or Make to create or update an item per email automatically. 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 email to board is enough and where a parser does work it was never designed to do.
What the converter does
Everything you need to turn a pile of email files into a spreadsheet your team can actually use.
Fills board columns instead of the Update
Email to board puts the whole message in one Update. MailParse reads the PO number, budget, or delivery date sitting mid-body and returns each as its own column, so the values land in Status, Date, Numbers, and Text columns you can group and filter on.
Parses HTML emails and quote tables
monday.com has no way to pull table rows out of an HTML email into columns. MailParse parses HTML emails and repeating table rows, so quotes, order confirmations, and lead forms come through as clean columns instead of one flattened block of text.
Feeds subitems from repeating rows
A quote with eight line items is eight rows, not one. Because the parser returns each row separately, you can create the parent item from the header fields and load the rows underneath it, rather than pasting a table into an Update and reading it manually.
Name fields instead of building a GraphQL integration
The native route to board columns is a developer writing against the monday.com API for each email format. MailParse reads the fields you name across senders that format the same data differently, so one setup covers many layouts with no code.
CSV and JSON that load into monday.com
Export a CSV and import it into a board, mapping each column to a monday.com column, or send JSON through the API, Zapier, or Make to create an item per email. The data is clean either way, and a backlog imports in one pass.
Spreadsheet output for everyone else
Not every email belongs on a board. Download a formatted Excel workbook or CSV for a forecast, an accounting import, or a teammate who just wants the numbers, without routing the data through monday.com first.
How to parse email into monday.com board columns
Four steps from an inbox to items whose columns are already filled in.
Connect or forward
Connect the Gmail, Outlook, Microsoft 365, or IMAP inbox your monday.com bound mail arrives in, or forward a sample message to a dedicated MailParse parsing address.
Name your fields
List the values you want as board columns, including figures buried mid-body and columns inside HTML quote tables. Describe each field once instead of scripting against the API per format.
Choose CSV or JSON
Export a CSV to import into a board and map each column, or point JSON at the monday.com API, Zapier, or Make to create or update an item per email automatically.
Load and reuse
Run a backlog in one pass and let new mail flow in automatically. Adjust the fields anytime from a form, with no integration to rebuild when a sender changes their layout.
Who outgrows email to board
monday.com teams whose inbound mail carries figures, tables, or vendor formats that an Update leaves as plain text.
Operations and request intake
Turn request emails into items with the requester, department, priority, and due date already in columns, so the board sorts itself instead of waiting for a coordinator to read every Update and type the values in.
Procurement and supplier desks
Read PO numbers, quantities, unit prices, and delivery dates out of HTML order confirmations, then load line items as rows rather than pasting a table into an Update nobody can report on.
Agencies running client work
Pull project scope, budget, and timeline out of enquiry emails into columns, so a new item enters the pipeline already qualified and dashboards stay accurate across a busy shared inbox.
Support and field service teams
Extract ticket references, site addresses, and equipment IDs from notification emails so each item carries the detail an engineer needs without opening the message thread first.
MailParse vs native monday.com email handling
Reads the whole body
Email to board keeps the entire message in one Update. MailParse pulls the specific values you name out of the body and returns each as its own column.
Handles HTML and tables
monday.com cannot pull HTML table rows into board columns. MailParse parses HTML emails and table rows into clean columns you can group and filter on.
No integration to build
Getting body values into columns natively means a developer scripting against the monday.com GraphQL API. MailParse reads named fields with no code.
Flexible output
MailParse exports CSV and Excel for spreadsheets and JSON for webhooks, so you import into a board or push items through the API, Zapier, or Make.
Four ways to get email data into monday.com, compared
monday.com gives you email to board, an Email column, and an open GraphQL API, and the right choice depends on whether your mail carries HTML tables, figures buried mid-body, or formats that change between senders. Here is an honest side by side, with credit to each method where it wins. For the broader picture, see the email to CRM guide; to weigh parsers against each other, the best email parser guide.
| Decision point | MailParse | Email to board (native) | Zapier or Make alone | Custom GraphQL integration |
|---|---|---|---|---|
| What it does | Parses the fields you name from the body and HTML tables, then exports CSV or JSON to load into monday.com | Creates an item from the subject line and drops the whole body into an Update on that item | Moves a message into monday.com and can split simple text, but has no field extraction of its own | A developer writes code that reads the message and posts values to the monday.com API |
| Setup and skills needed | Name the fields on a form, no code or API work | Copy the board email address and start forwarding, included in monday.com | Build a zap or scenario per email format, plus text-parsing steps you maintain | Developer time to build it and to maintain it per email format |
| Fills board columns | Yes, each named field arrives as its own column | No, the item name is set and the rest of the columns stay empty for someone to fill in | Only the values your parsing steps happen to catch | Yes, but only the patterns your code was written for |
| Handles attachments | Records the filename for reference; extract a PDF or spreadsheet with a document tool first, then parse the result | Attaches the files to the item Update but does not read them | Passes the file through to storage without reading it | Only if you write and maintain a parser for each file type |
| Parses HTML tables | Yes, repeating quote and order rows come through as clean columns | No, the table is flattened into text inside the Update | Rarely, table markup usually defeats plain text steps | Possible only with heavy custom parsing code |
| Holds up when a sender changes layout | Reads the named fields when the layout drifts | Layout does not matter since nothing is parsed | Breaks when the text your steps key on moves | Breaks when the text the code keys on moves |
| Backlog of existing email | Run a folder of saved messages in one pass and import the whole sheet | Forward messages one at a time | Usually processes new mail only, historic runs need extra work | Whatever the code is written to do |
| Output and destinations | CSV to import into a board, or JSON through the API, Zapier, or Make | One item with the message sitting in its Update | An item created by the automation platform | Writes directly to the board columns the code targets |
| Best for | HTML tables and varied sender formats parsed into board columns with no code | Getting a request onto a board fast when the columns do not need to be filled | Teams already standardized on one automation platform with simple, stable email | Dev teams wanting native control over one steady, unchanging format |
Email to board, the Email column, and API access are part of monday.com, so the cost is your plan tier and developer or admin time, not a separate parser license. Native capabilities and plan requirements change between releases, so confirm current behavior in the monday.com support docs before you build. Capabilities described as of August 2026. No pricing is implied here.
Frequently asked questions
Does monday.com have an email parser?
monday.com does not have a built-in email parser that extracts values from the message body into board columns. Email to board creates an item from the subject line and stores the body as an Update, and the monday.com docs state that you fill in the remaining columns by hand. Pulling a PO number, budget, or table rows into columns needs an external parser that hands monday.com clean CSV or JSON.
How do I parse an email into monday.com?
Parse the message first, then load it. Connect a mailbox or forward a sample to MailParse, name the fields you want such as po_number or due_date, and the parser reads them from the body and HTML tables. Export a CSV to import into a board and map each column, or send JSON through the monday.com API, Zapier, or Make to create an item per email automatically.
What is the email parser monday.com integration?
It is the standard pattern for getting email data into monday.com as columns rather than as an Update. An email parser extracts named values from inbound mail, then an automation platform or a direct API call creates or updates the matching board item. Every major parser works this way because monday.com exposes a full GraphQL API but does not parse message bodies itself.
How do I send an email to a monday.com board?
Every board has its own email address, which you find under the board menu. Send or forward a message to it and monday.com creates an item named after the subject line, with the body and any files landing as an Update. It is the fastest way to get a request onto a board. The columns on that item, however, arrive empty.
Can monday.com extract data from the email body?
No. monday.com stores the body as an Update on the item and leaves it as text. It does not scan the message for values or write them into Status, Date, Numbers, or Text columns. Anything you want to group, filter, or build a dashboard on has to arrive as a column, which means either manual entry or a parser that reads the fields you name.
How do I get the email from a People column in monday.com?
A People column stores account references, not plain text, so a Formula column cannot return the address directly. The usual routes are the GraphQL API, which exposes the user record and its email, or an automation that writes the address into a separate Email column. If the address you actually need arrives in an inbound message, parsing it out of the email is simpler than reverse engineering the People column.
How do I import parsed email data into monday.com?
Two paths work. Export the parsed data from MailParse as a CSV and import it into a board, mapping each spreadsheet column to a monday.com column to create items in bulk. Or take the JSON from a MailParse webhook and send it through the monday.com API, Zapier, or Make to create or update an item per email automatically as mail arrives.
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 monday.com import.
Parse the email body monday.com files as an Update, then fill your board columns
Connect a mailbox or forward a message and see the fields and HTML table rows an Update leaves unparsed land in clean CSV or JSON, ready to import or webhook into monday.com.