SigParser Alternative: Email Parser and Contact Data Extraction for Sales Teams
Pull the fields you actually need out of the message body, not just the contact record
SigParser is built to discover contacts and relationships by scanning mailboxes and calendars. MailParse is built to read the values inside a message: name the fields you want and get back Excel, CSV, or JSON, including one row per line item when the detail sits in an HTML table. Upload .eml or .msg files, connect Gmail, Outlook, Microsoft 365, or IMAP, or POST to the REST API.
Last updated August 2026
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MailParse is a SigParser alternative for teams whose real need is structured data out of the email body, not only contact records. SigParser continuously scans mailboxes and calendars to build contact and relationship data and syncs it into a CRM. MailParse asks you to name the fields you want, an order number, an invoice total, a lead form value, or a line item sitting in an HTML table, and returns them as Excel, CSV, or JSON. Choose SigParser for ongoing contact discovery across many mailboxes. Choose MailParse for per-message field extraction and spreadsheet output.
- Body fields
- Order numbers, totals, dates, SKUs
- HTML tables
- Line items become their own rows
- From $24/mo
- Starter plan, list price August 2026
- Free to start
- Test your real email before you pay
SigParser and MailParse both extract structured data from email, and that shared description hides a real difference in what each one is for. SigParser is a contact and relationship intelligence product. It connects to Outlook, Gmail, and other providers, scans mail and calendar history on a schedule, and pulls what its documentation describes as 60 or more contact details: full names, job titles, phone numbers, addresses, and social profiles. It deduplicates and enriches those records, tracks who at your company knows whom, and pushes the result into Salesforce, HubSpot, or Dynamics. If the job is "build us a clean contact database out of everything our reps have ever emailed", SigParser is aimed squarely at that job and does it well.
MailParse solves a different problem that often sits in the same inbox. The value a sales or operations team needs is frequently not the sender, it is something written in the message: a purchase order number, a quote total, a shipping reference, the answers from a web form, or a table of line items in an order confirmation. That data is unstructured text, and a contact extractor will not return it because it is not a contact attribute. MailParse asks you to name the fields you want once, reads them across the varied layouts different senders use, turns HTML tables into one row per line, and hands back a clean Excel workbook, a CSV, or JSON through the API.
So the honest framing is not "which tool is better" but "which of these two jobs do you have". Plenty of teams have both. This page lays out where each product wins, with pricing read from each vendor site in August 2026, so you can tell quickly which side of the line your use case falls on.
What MailParse does that a contact extractor does not
The gaps teams hit when the value they need is written in the message rather than the signature.
Reads fields from the message body
Name a value such as order_number, invoice_total, po_number, or ticket_id and MailParse pulls it out of the body text. A contact extractor is designed to return people, so business values written inside the message fall outside what it looks for.
Turns HTML tables into rows
Order confirmations, RFQs, and shipping notices usually carry the real detail in an HTML table. MailParse writes one spreadsheet row per line item, so a five line order becomes five rows instead of one cell of collapsed text.
Works on saved .eml and .msg files
You can upload exported message files directly, with no mailbox connection at all. That matters for a one time backlog, a legal or audit export, or any batch where connecting a live mailbox is not on the table.
Spreadsheet output, not just CRM sync
Download a formatted Excel workbook or a CSV you can open, check, and pivot immediately. Sync into a system is one option rather than the only destination, which suits finance and operations reporting as much as sales.
Parses email signatures too
Where the contact detail is what you want, MailParse reads name, title, company, phone, and address out of a signature block. It is the overlap between the two products, so on that specific task you can compare them directly on your own mail.
REST API and webhooks
POST a raw email and get structured JSON back, or have MailParse push parsed fields to your endpoint as mail arrives, so the extraction step drops into an existing pipeline without a connector for every destination.
How to evaluate MailParse against SigParser
Four steps that will tell you which tool fits inside an afternoon.
Write down the fields you actually need
List them honestly. If the list is names, titles, phone numbers, and companies, that is contact discovery. If it includes order numbers, totals, dates, references, or line items, that is body field extraction and it is a different job.
Test on real messages, not a demo
Take ten messages of the type you care about, save them as .eml or .msg, and upload them to MailParse. Accuracy on your own formats is the only comparison that means anything.
Check the output shape
Look at whether you get one row per message or one row per line item, and whether you can open the result in Excel straight away or have to pull it back out of a CRM to review it.
Price it at your real volume
SigParser prices per mailbox and per seat. MailParse prices by parsing volume. Which is cheaper flips depending on whether you have many mailboxes and few messages or few mailboxes and many messages.
Who looks for a SigParser alternative
Teams whose data lives in the message rather than in the signature block.
Sales operations
Capture lead name, email, company, budget, and free text answers from web form notifications and reply email across many sources, then load one clean CSV into the CRM rather than reconciling contact records.
Order and fulfillment teams
Parse order confirmations from multiple vendors into a consistent set of columns, with each line item on its own row, so a purchase order email becomes a table you can reconcile against your system.
Finance and accounts payable
Pull invoice numbers, totals, due dates, and vendor references out of invoice email whose layout differs by sender, and export the batch to Excel for review before anything is posted.
Anyone handed an email archive
Upload a folder of exported .eml or .msg files and get a spreadsheet, without connecting a mailbox or running a historical scan against a live account.
MailParse vs SigParser, honestly
What each is built for
SigParser is contact and relationship discovery across mailboxes and calendars. MailParse is field extraction out of the content of individual messages. Different jobs that both get called email parsing.
Where SigParser clearly wins
Continuous scheduled mailbox scanning, historical backfill of years of mail, enrichment of contact records with data from sources like LinkedIn, native two way CRM connectors, and a relationship graph showing who knows whom. MailParse does none of that.
Where MailParse wins
Named fields out of the message body, HTML line item tables split into rows, direct upload of .eml and .msg files with no mailbox connection, and Excel or CSV output you can open and check straight away.
Pricing model
SigParser charges per mailbox and per seat, with a separate one time charge to scan historical mail. MailParse charges by parsing volume. Compare at your real numbers, because the cheaper option depends entirely on your mailbox to message ratio.
MailParse vs SigParser vs Mailparser vs Parseur
Prices were read from each vendor pricing page on 30 August 2026 and change often, so confirm current figures before you buy. To weigh the wider field, see the best email parser buyer guide, the email parser pricing comparison, and our Mailparser alternative page.
| What matters | MailParse | SigParser | Mailparser | Parseur |
|---|---|---|---|---|
| Primary job | Extract named fields from the message body | Discover contacts and relationships from mailboxes | Extract fields using per inbox parsing rules | Extract fields from email and PDF templates |
| Entry price (list, Aug 2026) | $24 per month, Starter | $19 per month billed annually, 1 mailbox | $29.95 per month, 250 emails | Free tier of 20 pages per month |
| Mid tier | $74 per month, Pro | $49 per month billed annually, 3 mailboxes | $99.95 per month, 2,000 emails | Volume slider, no fixed list price published |
| What you pay for | Parsing volume | Mailboxes and seats, plus a one time history scan from $99 | Emails parsed per month | Pages processed per month |
| Body fields and line items | Named fields, HTML tables become one row per line | Not the product focus, contact attributes rather than body values | Yes, via rules you configure per inbox | Yes, via a visual template you highlight |
| Contact enrichment and CRM sync | No enrichment, export or push via API | Yes, native Salesforce, HubSpot and Dynamics sync plus enrichment | Connectors to CRMs and thousands of apps | Connectors and integrations to many apps |
| Upload saved .eml or .msg files | Yes, no mailbox connection required | Connects to a live mailbox rather than file upload | Chiefly forwarding and connected inboxes | Forwarding and connected inboxes |
| Best for | Values written inside the message, and spreadsheet output | Building a clean contact database from years of mail | A steady set of formats with rules you maintain | Mixed email and PDF documents |
SigParser plan names and prices were read from sigparser.com/pricing on 30 August 2026: Individual $19 per month and Team $49 per month billed annually, Professional $299 and Enterprise $499, with a one time mailbox history scan from $99. Mailparser figures come from mailparser.io/pricing and Parseur from parseur.com/pricing on the same date. Parseur publishes a volume slider rather than fixed monthly list prices for its paid tiers, so none is invented here. Vendors change pricing without notice, so treat these as a starting point and confirm before purchase.
Frequently asked questions
What is the best SigParser alternative?
It depends which job you have. If you want contact records discovered automatically across many mailboxes and synced to a CRM, SigParser is purpose built for that and the honest answer is to keep it. If the data you need is written inside the message, an order number, a total, a reference, or a table of line items, MailParse is the better fit because it extracts named fields from the body and returns Excel, CSV, or JSON.
How much does SigParser cost?
Read from sigparser.com/pricing on 30 August 2026, the annual plans are Individual at $19 per month for one mailbox, Team at $49 per month for three, Professional at $299 per month for ten, and Enterprise at $499 per month with API access and an on premise parsing engine. Extra mailboxes cost $15 to $20 per month each. A one time historical mailbox scan runs from $99 for one year to $249 for ten. Monthly billing costs more than annual.
Is MailParse cheaper than SigParser?
Neither is universally cheaper because they charge for different things. SigParser bills per mailbox and per seat, so cost climbs with headcount. MailParse bills by parsing volume, starting at $24 per month, so cost climbs with message count. A ten person sales team scanning every inbox usually pays less with volume based pricing, and a single mailbox with very high message volume usually pays less per mailbox. Price both at your real numbers.
Does SigParser extract data from the email body?
SigParser is built around contact and relationship data: names, titles, phone numbers, addresses, and social profiles, largely from signatures, headers, and calendar entries. It is not designed to return an arbitrary business value written in the body, such as a purchase order number or a table of SKUs. That is the specific gap MailParse fills, and it is the usual reason someone searches for an alternative.
Can MailParse parse email signatures like SigParser?
Yes, and this is the genuine overlap between the two. MailParse reads name, job title, company, phone, and address out of a signature block and returns them as columns, which you can see on the dedicated email signature parser page. What it does not do is run continuously across every mailbox in your company, deduplicate contacts over time, or enrich them from outside sources. For that ongoing contact database job, SigParser is the stronger tool.
Does MailParse sync contacts to Salesforce or HubSpot?
Not as a native two way contact sync, which is a real advantage SigParser has. MailParse returns parsed data as CSV you import, or as JSON from the API and webhooks that you route through Flow, Zapier, or Make to create records. If a maintained native connector that keeps contacts in step both ways is a requirement, that points to SigParser rather than to us.
Can I try a SigParser alternative before paying?
Yes. MailParse is free to start, so you can upload a handful of your own .eml or .msg files, or connect a mailbox, and check the columns that come back before any payment. Testing on real messages rather than a sample is the fastest way to find out whether your data is contact data or body data, which is the question that decides between these two products.
What is the difference between contact extraction and email parsing?
Contact extraction finds people: it reads signatures, headers, and calendar entries to build records of who you communicate with. Email parsing in the broader sense finds any named value in a message, including amounts, dates, references, and repeating table rows. Tools that do the first do not necessarily do the second, which is why two products described the same way can fit very differently.
Try the SigParser alternative on your own email
Upload a .eml or .msg file, or connect a mailbox, and see the fields you name come back as clean Excel, CSV, or JSON, with line item tables split into rows.