Mailparser Integrations: Salesforce, Google Sheets, HubSpot, and Airtable, Compared
Where parsed email can actually land, and which route gets it there without a second subscription
Most people searching for a Mailparser integration are not shopping for a parser. They already know they need one, and they are checking whether it will reach Salesforce, Google Sheets, HubSpot, or Airtable before they commit. This page lays out how Mailparser delivers each destination, where a Zapier or Make subscription quietly becomes part of the price, and how MailParse parses the same mail from Gmail, Outlook, Microsoft 365, or IMAP into Excel, CSV, and JSON. Paste a sample email below and see the fields it returns.
Last updated August 2026
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Mailparser integrations fall into three groups: a set of first-party connections Mailparser publishes for destinations like Google Sheets, Salesforce, Airtable, Excel Online and Zoho, a much longer list reached through Zapier and Make, and custom webhooks that POST the parsed result as JSON, form data, or XML to any endpoint you own. Mailparser advertises more than 70 destinations in total. MailParse solves the same last step differently: it parses Gmail, Outlook, Microsoft 365, or any IMAP mailbox into named fields and hands you an Excel workbook, a CSV, or JSON over a REST API and webhooks, so the destination is whatever imports a spreadsheet or accepts a POST. This page compares the two routes honestly, including where Mailparser is the better fit.
- 70+
- Destinations Mailparser lists
- 3 routes
- Direct, Zapier/Make, webhook
- JSON / XML
- Webhook payload formats
- Excel / CSV / JSON
- What MailParse hands you
Integration coverage is the question that decides an email parser purchase, and it is the one most comparison pages skate over. A parser that reads your emails perfectly is worthless if the values end up somewhere nobody looks. So before you sign up for anything, the useful question is not "how many integrations does it have" but "how does this specific tool reach the one system I care about, and what does that route cost me".
Mailparser answers that with breadth. It publishes a list of more than 70 destinations across CRMs, spreadsheets, project tools, messaging apps, databases, and file storage, grouped into categories like Email Automation, CRMs, Sales and Marketing Automation, Productivity Tools, Messaging, Database Servers, File Storage, and Custom Integrations. Some of those are first-party connections you configure inside Mailparser. Many are reached through Zapier or Make, which means a second subscription and a per-task meter sitting between your inbox and your CRM. And for anything not on the list, Mailparser supports custom webhooks that can deliver the parsed result as a JSON payload, as form data, or as XML.
MailParse approaches the last mile from the other end. Instead of maintaining a directory of connectors, it makes the output universal: connect Gmail, Outlook, Microsoft 365, or any IMAP mailbox, name the fields you want, and take the result as a formatted Excel workbook, a clean CSV, or JSON through a REST API and webhooks. Practically every business system on earth imports a CSV or accepts a POST, so the destination list is effectively open ended. If you want the destination-specific detail, the pages for the email parser Salesforce integration, the email parser Google Sheets integration, the email parser HubSpot integration, and the email parser Airtable integration each walk through that specific setup. If you are still deciding between the two products rather than mapping destinations, the Mailparser alternative comparison is the page to read instead.
What actually matters when you compare parser integrations
Six things worth checking before the connector count convinces you.
Three honest routes, not one number
A "70+ integrations" badge hides the fact that those connections arrive three different ways. Some are configured inside the parser, some require a Zapier or Make plan, and some are a webhook you wire yourself. The route matters more than the count, because two of the three add cost or engineering time.
Universal output beats a connector list
MailParse exports Excel, CSV, and JSON from every parse. Anything that imports a spreadsheet (Salesforce, HubSpot, Airtable, Google Sheets, NetSuite, a SQL load) or accepts a POST is reachable, without waiting for a connector to be built for your tool.
REST API and webhooks included
Point MailParse at your endpoint and each parsed message is POSTed as structured JSON in real time. That is the same mechanism a custom Mailparser webhook uses, so a developer-owned pipeline works the same way on either tool.
Parses your real mailbox, not just a forwarding address
Connect Gmail, Outlook, Microsoft 365, or IMAP directly so mail is parsed where it already lands. Forwarding rules break quietly, and every message you forget to forward is a record that never reaches the CRM.
HTML tables become rows, not one blob
Order confirmations, shipping notices, and supplier reports carry their data in HTML tables. MailParse reads each table row as its own record, so a ten-line order arrives as ten rows in the destination rather than a single flattened cell.
Fields you name, not rules per layout
Describe the values you want once, such as invoice_number, order_total, or tracking_number, and the same setup keeps working when a sender changes their template. Rule-based parsers need a fresh rule set for each layout, which is the maintenance cost teams underestimate.
How to get parsed email into Salesforce, Sheets, HubSpot, or Airtable
The same four steps whichever destination you picked.
Connect the mailbox the email already reaches
Link Gmail, Outlook, Microsoft 365, or any IMAP account, or forward a stream of mail to a parsing address. Parsing at the source means nothing depends on a forwarding rule someone disables six months from now.
Name the fields your destination expects
List the values the record needs: company, contact email, deal amount, invoice number, PO number, tracking number. Match the names to the columns or properties in Salesforce, HubSpot, Airtable, or your sheet so the import maps cleanly the first time.
Pick the delivery route
Download a CSV or Excel file for a one-time or scheduled import, or take JSON from the REST API and webhooks so each parsed message POSTs to your endpoint, a middleware step, or a Zap the moment it arrives.
Load it and check the first batch
Run ten real emails through before you switch anything on for good. Check the awkward ones: a reply chain, a forwarded message, an HTML table, a sender who formats the amount differently. That is where parser accuracy is decided, not on the clean sample.
Who is comparing parser integrations
The four situations that send people to an integrations page.
Sales ops wiring inbound leads into a CRM
Leads arrive as notification emails from a website form, a marketplace, or a partner. The parser has to turn each one into a contact and a deal with the right owner and source, whether the CRM is Salesforce, HubSpot, or Pipedrive.
Finance teams routing invoices and remittances
Vendor, invoice number, date, and total need to land in a sheet or an accounting import on a schedule. A CSV or Excel export is usually simpler and cheaper here than a live connector, because reconciliation runs in batches anyway.
Operations teams tracking orders and shipments
Order confirmations and carrier notices carry HTML tables. The integration question is really a parsing question: does the destination get one row per line item, or one cell holding the whole table as text.
Developers who just want the JSON
If your destination is your own application, a connector directory is irrelevant. What matters is a clean, predictable JSON payload delivered to your webhook, which both tools support and which the <a href="/email-parser-api">email parser API</a> page covers in detail.
Where each tool genuinely wins
Mailparser wins on published breadth
If your destination is an unusual app that Mailparser already lists and you would rather configure a named connector than think about file imports, that directory is a real advantage. Breadth of documented destinations is the thing Mailparser has invested in most.
MailParse wins on cost per destination
When a connection runs through Zapier or Make, the automation plan and its per-task meter become part of what the integration costs. Exporting Excel or CSV, or POSTing JSON straight to an endpoint, removes that middle layer entirely.
MailParse wins on varied layouts
Rule-based parsing is precise once configured and brittle when senders differ. Naming fields instead of writing a rule per layout is why one MailParse setup usually covers several senders that format the same data differently.
Both lose to a spreadsheet at tiny volume
If you get four of these emails a month, no parser pays for itself. The honest threshold is somewhere around a few dozen messages a month, or any volume at all where a mistyped amount causes real damage.
Mailparser integrations vs MailParse, destination by destination
The four destinations people search for most, and how each tool actually reaches them. Read the route, not the checkmark: a connection delivered through Zapier is a connection you pay a second vendor for. Verify current connector status on Mailparser's own integrations page before you buy, because directories change.
| Destination | How Mailparser reaches it | How MailParse reaches it | What decides it |
|---|---|---|---|
| Salesforce | Listed among Mailparser's published destinations, and also commonly wired through Zapier or Make | CSV or Excel import into Salesforce, or JSON POSTed to the Salesforce API or a middleware step | Whether you want a named connector or prefer to control the field mapping on import |
| Google Sheets | One of the destinations Mailparser publishes, appending parsed rows to a sheet | CSV import, or JSON through the API into Apps Script or a Sheets automation | How live it has to be: append-on-arrival versus a scheduled or on-demand file |
| HubSpot | Appears on the integrations list and is frequently connected through Zapier | CSV import into contacts, deals, or a custom object, or JSON into a HubSpot workflow or the API | Whether an automation subscription is already part of your stack |
| Airtable | Published as a destination, with Zapier and Make also documented as routes | CSV Import extension for a batch, or the Airtable API and webhooks for a record per email | Batch backfill versus a record created the moment mail lands |
| Anything not on the list | Custom webhook delivering JSON, form data, or XML to your endpoint | REST API and webhooks delivering JSON to your endpoint | Both are a POST. Compare payload shape and volume limits, not connector counts |
| Conditional routing (Paths) | Paths is a Zapier feature, not a Mailparser one, so branching happens in the Zap after parsing | Parse first, branch in your own code, in a workflow tool, or with separate field sets | Where you want the routing logic to live and who maintains it |
| What comes out | Parsed fields pushed to the connected destination | Excel workbook, CSV, and JSON from the same parse | Whether one team needs a spreadsheet while another needs an API payload |
Integration availability reflects publicly documented information as of August 2026 and is summarized in good faith. Connector directories and plan tiers change often, so confirm the destination you need on the vendor's current integrations page before purchasing. No pricing is stated or implied here. Mailparser is a trademark of its owner and is referenced here for comparison only.
Frequently asked questions
What integrations does Mailparser have?
Mailparser publishes a directory of more than 70 destinations grouped into categories including Email Automation, CRMs, Sales and Marketing Automation, Productivity Tools, Messaging, Database Servers, and File Storage. Named apps on that list include Salesforce, Google Sheets, Airtable, HubSpot, Zoho CRM, ActiveCampaign, Asana, Slack, Trello, and Zendesk. Anything outside the directory is reached with a custom webhook or through Zapier and Make.
Does Mailparser integrate with Google Sheets?
Yes. Google Sheets is one of the destinations Mailparser publishes, and parsed fields can be appended as rows to a sheet. It can also be connected through Zapier or Make if you already run one of those. With MailParse you take the same parsed data as a CSV and import it, or push JSON through the API into a Sheets automation, which avoids a second subscription in the middle.
Does Mailparser integrate with Salesforce?
Salesforce appears on Mailparser's integrations list, and it is also commonly connected through Zapier or Make. Either route sends parsed fields into leads, contacts, or custom objects. MailParse reaches Salesforce with a CSV or Excel import, or by POSTing JSON to the Salesforce API or a middleware step, so you control the field mapping yourself.
Does Mailparser integrate with HubSpot?
HubSpot is on the integrations list, and in practice many teams wire it through Zapier because that is the documented path in most tutorials. The tradeoff is a second subscription with a per-task meter. MailParse loads HubSpot with a CSV import into contacts, deals, or a custom object, or with JSON into a HubSpot workflow through the API.
Does Mailparser integrate with Airtable?
Yes, Airtable is published as a Mailparser destination, and Zapier and Make also document Mailparser to Airtable connections. MailParse handles Airtable two ways: the CSV Import extension for a backfill of existing mail, or the Airtable API and webhooks to create one record per email as messages arrive.
What are Paths in an email parser?
Paths is a conditional branching feature in Zapier, not a feature of Mailparser itself. It lets one Zap send different email types down different routes, so a quote request goes to sales and an invoice goes to finance after the parser has already extracted the fields. If you want that routing without an automation subscription, parse first and branch in your own workflow. Our guide to email parser paths walks through the pattern.
Does Mailparser have an API or webhook?
Mailparser supports custom webhook integrations that send the parsed result to any endpoint you control, and the payload can be delivered as JSON, as form data, or as XML. MailParse offers a REST API and webhooks that POST structured JSON per message. If your destination is your own application, both tools land in the same place and the connector directory stops mattering.
Do I need Zapier to use an email parser?
Not necessarily, and this is the cost most comparisons miss. Several popular destinations are documented through Zapier or Make rather than a first-party connection, which means an automation plan and its per-task pricing sit between your inbox and your CRM. If your destination imports a CSV or accepts a POST, you can skip that layer entirely and send the parsed file or JSON payload directly.
See what your email actually parses into
Paste a real message and watch the body, HTML tables, and custom fields come back as Excel, CSV, and JSON you can load into any destination.