Email Parser Integrations: Microsoft Excel, Outlook, and Google Sheets
Connect your inbox once and route parsed email fields into the tools your team already works in
MailParse has native email parser integrations for Microsoft Excel, Microsoft Outlook, and Google Sheets, plus Airtable, Notion, a REST API, and webhooks. Connect Gmail, Outlook, Microsoft 365, or IMAP, name the fields you want, and the values from every message land in the right place: a formatted spreadsheet, a live sheet, a database, or a JSON payload your own code reads. Pick the destination once and it keeps working as new mail arrives.
Last updated July 2026
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Email parser integrations connect an email parser to the tools where you use the data, so parsed fields flow into Excel, Outlook, Google Sheets, a CRM, or your own app instead of being retyped. MailParse reads mail from Gmail, Outlook, Microsoft 365, and IMAP and delivers structured data as Excel, CSV, or JSON, plus a REST API and webhooks for hands-off automation into the apps your team already uses.
- 7+ destinations
- Excel, Sheets, Airtable, Notion, JSON
- API + webhooks
- Push parsed email to any tool
- Named fields
- Clean columns, not a message dump
- HTML tables
- Line items become their own rows
An email parser integration is the connection that carries structured data out of your inbox and into the tool where you actually use it. MailParse handles both ends. On the way in, it connects to Gmail, Outlook, Microsoft 365, or any IMAP mailbox, or accepts a forwarded message or a file you upload. On the way out, it sends the fields you name into Microsoft Excel, Google Sheets, Airtable, Notion, a CRM, or a JSON API, so the order number, invoice total, or tracking code from each email lands in its own column or record rather than sitting as text you copy by hand.
The point of a real integration is that you set it up once. You describe the fields you care about on a simple form, choose an output, and every matching email is parsed the same way from then on, including values buried in the body text and line items pulled out of an HTML table into their own rows. That is different from a Gmail add-on that dumps a whole message into one cell, or an Apps Script you have to rewrite each time a sender changes their layout. This page walks through every destination MailParse can send parsed email to, how each one works, and which is the right fit for your workflow.
If you already know your destination, go straight to it. Each of these pages covers the setup, the field mapping, and the limits for that one tool: the email parser Microsoft Outlook integration, the email parser Microsoft Excel integration, the email parser Google Sheets integration, the email parser Salesforce integration, the email parser Zoho CRM integration, the email parser HubSpot integration, the email parser Pipedrive integration, the email parser Airtable integration, the email parser monday.com integration, and the email parser LeadConnector integration for GoHighLevel. Comparing us against a rule-based tool instead? The Mailparser integrations breakdown shows which destinations that tool reaches directly and which ones quietly need a Zapier plan.
Every place MailParse can send parsed email
Connect a mailbox once, then route the fields you name into any of these destinations.
Microsoft Excel integration
Write parsed email data straight into a formatted .xlsx file with the exact columns you pick. No macros and no manual copy-paste, so an inbox full of order confirmations or invoices becomes a clean Excel workbook you can sort and filter.
Microsoft Outlook integration
Read Outlook .msg and .eml files and mail synced from a Microsoft 365 or Exchange mailbox, then extract the sender, subject, dates, body fields, and attachment names. Outlook does not even need to be installed to pull data out of saved .msg messages.
Google Sheets integration
Drop the fields you name from every matching email into a live Google Sheet, one clean row per message, with no Apps Script to write or maintain. A Gmail to Google Sheets workflow that used to need a script now runs on its own.
Airtable and Notion integration
Send parsed fields into an Airtable base or a Notion database so each email becomes a structured record. Useful for teams that run their pipeline, intake, or tracking board in Airtable or Notion instead of a spreadsheet.
REST API and webhooks
The Pro plan exposes a REST API and webhooks that return structured JSON in milliseconds. Post a raw email or file, get named fields back, or have MailParse push each parsed message to your endpoint so your own code, database, or data pipeline stays current automatically.
CRM, Zapier, and Make
Take the JSON output into a no-code tool like Zapier or Make and append rows, create records, or update a CRM such as HubSpot, Salesforce, or Pipedrive. MailParse does the parsing your CRM cannot, then hands off clean fields for the connector to route.
How to set up an email parser integration
Four steps from a connected mailbox to data flowing into your tool.
Connect your mailbox or forward a message
Link Gmail, Outlook, Microsoft 365, or IMAP, or forward a sample email to a dedicated MailParse address. You can also upload .eml or .msg files directly.
Name the fields you want
List the values you would otherwise copy by hand, such as order number, total, invoice date, or tracking code, including values buried in the body text and rows sitting inside an HTML table.
Pick a destination
Choose an output: a formatted Excel file, a live Google Sheet, an Airtable or Notion record, or JSON through the API and webhooks for a CRM or your own pipeline.
Let it run as mail arrives
New matching email is parsed and routed automatically. Adjust the fields anytime from a form, with no code or macro to re-debug when a sender changes their layout.
Who connects an email parser to their stack
Teams that want email data flowing into the tools they already run on.
Operations & e-commerce
Route order and shipping confirmations into Excel or Google Sheets with the order number, status, and tracking code in their own columns, ready for a shared reconciliation sheet the whole team can see.
Accounting & bookkeeping
Lift totals, dates, and invoice numbers out of the body and HTML tables of invoices and receipts that arrive by email, and send them into a spreadsheet or your accounting workflow before the books.
Sales & CRM teams
Turn web form notifications, quote requests, and reply emails into structured fields, then push them into a CRM or an Airtable pipeline through the API and a Zapier or Make step, with no inbox access needed.
Developers & data pipelines
Use the REST API and webhooks to feed parsed email straight into a database, message queue, or internal tool as structured JSON, without maintaining a custom parser of your own.
Why route email through MailParse instead of a single-tool add-on
One parser, many destinations
A Gmail-to-Sheets add-on only feeds Sheets, and a CRM connector cannot parse the email body. MailParse parses once and sends the same clean fields to Excel, Sheets, Airtable, Notion, or an API.
Named fields, not a message dump
Most native integrations paste a whole message into one cell or note. MailParse breaks the order number, total, and tracking code into their own columns or record fields.
Reads HTML tables
Native integrations usually paste the body as one block. MailParse turns an HTML table inside the email, such as an order line-item list, into its own rows so each line lands on a separate spreadsheet row.
Stable when senders change layout
Scripts and regex steps break when a vendor reorders a line. MailParse reads named fields across varied layouts, so the integration keeps working without edits.
Email parser integrations, side by side
Every destination reads from the same parse, so you connect a mailbox once and pick where the data goes. Here is what each integration does and who it suits best. To push parsed email automatically, see the email parser API and webhooks; for the full field, read the best email parser guide.
| Integration | How it works | Output | Best for |
|---|---|---|---|
| Microsoft Excel | Writes named fields into a formatted workbook | Downloadable .xlsx | Spreadsheet teams that live in Excel |
| Microsoft Outlook | Reads .msg, .eml, and 365 or Exchange mail | Body fields plus attachment names | Pulling data from saved Outlook messages |
| Google Sheets | Drops one clean row per email into a live sheet | Live Google Sheet or CSV | Google Workspace teams, no Apps Script |
| Airtable and Notion | Creates a structured record per message | Airtable base or Notion database | Pipelines and tracking boards |
| REST API and webhooks | Returns or pushes structured JSON | JSON payload (Pro) | Developers and data pipelines |
| CRM via Zapier or Make | Hands clean JSON to a no-code connector | CRM records and updates | Sales teams on HubSpot, Salesforce, Pipedrive |
Native add-on and no-code connector capabilities vary by tool and change over time, so confirm current behavior before you build. Capabilities described as of July 2026. No pricing is implied here.
Frequently asked questions
What integrations does MailParse email parser support?
MailParse connects to Gmail, Outlook, Microsoft 365, and IMAP on the input side, and sends parsed email data to Microsoft Excel, Google Sheets, Airtable, Notion, and JSON on the output side. The Pro plan adds a REST API and webhooks, so you can push structured fields into a CRM, database, or your own pipeline through a tool like Zapier or Make. You name the fields once and every destination reads from the same parse.
Does MailParse have a Microsoft Excel integration?
Yes, MailParse has a native Microsoft Excel integration. It parses the fields in your emails, including line items sitting in an HTML table, and writes them straight into a formatted .xlsx file with the exact columns you pick, with no macros and no manual copy-paste. See the dedicated email to Excel page for the full workflow, including how it turns an HTML table into one row per line item.
Does MailParse have a Microsoft Outlook integration?
Yes. The Microsoft Outlook integration reads .msg and .eml files and mail synced from a Microsoft 365 or Exchange mailbox, then extracts the sender, subject, dates, body fields, and attachment names into Excel, CSV, or JSON. Because it parses the raw .msg format directly, you do not need the Outlook desktop app installed to pull data out of saved messages.
Does MailParse have a Google Sheets integration?
Yes. Connect a Gmail or Google Workspace mailbox and the Google Sheets integration writes the fields you pick from every matching email into a live sheet, one clean row per message. There is no Apps Script to write and no macro to maintain. You can also download a CSV or Excel file and use File then Import in Sheets for a one-off job.
Does MailParse have a Google Drive integration?
MailParse does not push files into Google Drive automatically, but the output fits Drive cleanly. Every parse produces a CSV, Excel, or JSON file you can save to Google Drive in one step, and the Google Sheets output already lives in your Drive as a Sheet. For hands-off storage, send the JSON from the API to a Zapier or Make step that drops the file into a Drive folder.
Can I connect the email parser to my CRM?
Yes. MailParse parses the email into named fields and hands them off as JSON through the API and webhooks. A no-code connector like Zapier or Make then creates or updates records in a CRM such as HubSpot, Salesforce, or Pipedrive. This covers the step a CRM cannot do on its own, which is reading the values out of the email body before the record is created.
Does MailParse integrate with Zapier or Make?
Yes, through the API and webhooks. MailParse returns structured JSON for each parsed email, and a Zapier or Make workflow can take that output and append a spreadsheet row, create an Airtable or Notion record, or update a CRM. MailParse handles the parsing that those connectors cannot, so the fields arrive clean and ready to map.
Does MailParse have an API for custom integrations?
Yes. The Pro plan exposes a REST API and webhooks. Post a raw email body or a stored file, specify the fields and format, and receive structured JSON back in milliseconds, or have MailParse push each parsed message to your endpoint. It is built for developers connecting email parsing to an internal tool, a database, or a data pipeline without maintaining a custom parser.
Is there an email parser Salesforce integration?
Yes. MailParse parses lead and inquiry emails into named fields such as name, email, phone, and company, then you load them into Salesforce two ways: export a CSV and import it with Data Loader or the Import Wizard, or take the JSON from the API and webhooks and let a Zapier or Make step create the Lead or Contact records automatically. The dedicated Salesforce email parser page linked below walks through both routes.
Is there an email parser Zoho CRM integration?
Yes. Parse the email into named fields, then either import the CSV through Zoho CRM's built-in import tool or push the parsed JSON into Zoho through a Zapier or Make step that creates the Lead or Deal. MailParse does the part Zoho cannot, which is reading the values out of the email body, so the record arrives with clean fields instead of a pasted message.
Is there an email parser Pipedrive integration?
Yes, through the same parse-then-route pattern. MailParse extracts the fields you name from each email, and a Zapier or Make step maps the JSON output into a Pipedrive Person or Deal, or you import the exported CSV with Pipedrive's spreadsheet import. Either way the deal value, contact, and source land in their own Pipedrive fields.
Is there an email parser HubSpot integration?
Yes. Parse the notification or inquiry email into named fields, then feed HubSpot either with a CSV import or by wiring the parsed JSON through Zapier or Make to create the Contact, Company, or Deal. Because MailParse reads the body and HTML tables first, HubSpot receives structured properties rather than a raw forwarded email.
Is there an email parser Google Calendar integration?
Yes, for the parsing half of the job. MailParse pulls the date, time, and event details out of booking confirmations and appointment emails as named fields, and a Zapier or Make step then creates the Google Calendar event from that JSON. The parser supplies clean values, so the event title, start time, and location map correctly instead of being buried in body text.
Is there an email parser Google Contacts integration?
Yes, via CSV. MailParse extracts the name, email address, phone, company, and title from signatures and lead emails into a spreadsheet, and Google Contacts imports that CSV directly from its Import menu. Parse a batch of emails once and the whole list arrives as proper contact records instead of retyping each signature.
Is there an email parser Zendesk integration?
Yes. Parse the order number, customer, and issue fields out of support emails, then either analyze the exported spreadsheet or push the JSON through Zapier or Make to create or update Zendesk tickets with the parsed values in custom fields. This adds the field extraction Zendesk's native email channel does not do on its own.
Is there an email parser SMS integration?
Yes, on the output side. MailParse parses the email into fields, and a webhook or a Zapier or Make step passes them to an SMS service such as Twilio, so an urgent order, alert, or lead email becomes a text message containing just the values that matter. The parser cannot read incoming SMS; it reads email and hands the parsed data to the SMS sender.
Is there an email parser Dropbox integration?
Yes, the same way as Google Drive. Every parse produces an Excel, CSV, or JSON file you can save into Dropbox, and for a hands-off flow a Zapier or Make step takes the parsed output or the recorded attachment and files it into a Dropbox folder automatically. Attachments are recorded by filename, type, and size, so the routing step knows what it is filing.
Is there an email parser Airtable integration?
Yes. MailParse parses each email into named fields and hands Airtable a clean record two ways: export a CSV and use Airtable's CSV import to create one record per email, or push the parsed JSON through a Zapier or Make step that creates the record in your base automatically. Either route lands the order number, contact, or total in its own Airtable field, and the dedicated email to Airtable page linked below walks through both.
Is there an email parser ServiceNow integration?
Yes. ServiceNow's inbound actions create an incident from an email but leave the body as unparsed text. MailParse reads the named fields and HTML table rows out of that email first, then you bring them into ServiceNow by importing the CSV through an import set or posting the JSON from the API and webhooks to a scripted REST endpoint. The dedicated ServiceNow email parser page linked below covers the full workflow.
Is there an email parser LeadConnector integration?
Yes, through the parse-then-route pattern. MailParse extracts the lead's name, email, phone, and source from each notification email as named fields, and a Zapier or Make step maps the JSON output into LeadConnector, the API behind GoHighLevel, to create or update the contact. For a batch job, export the parsed emails as a CSV and use the platform's contact import instead.
Is there an email parser CINC integration?
Yes, for the parsing half. Lead alert emails from portals and forms carry the buyer's name, phone, and property details in the body, and MailParse breaks those out into named fields. Route them into CINC by importing the exported CSV through its lead import, or by wiring the parsed JSON through a Zapier or Make step, so each alert email becomes a proper lead record instead of text to retype.
Is there an email parser Realvolve integration?
Yes, the same parse-then-route way. MailParse pulls the contact and property fields out of lead and transaction emails, and you bring them into Realvolve with a CSV import or a Zapier step that creates the contact from the parsed JSON. The parser does the part the CRM cannot, which is reading the values out of the email body before the record exists.
Connect your inbox and route email data anywhere
Paste an email or connect a mailbox and watch the fields you name land in Excel, Google Sheets, Airtable, Notion, or a JSON payload your own tools read.