How to Build a List of Visa-Sponsoring Employers in Any Metro Area

Traditional data aggregators do not sell a list of employers that sponsor work visas in a specific metro area, because the signal lives in public filings and company websites rather than in a fixed-field database. Riveter builds that list for you: describe the metro and the sponsorship criteria in plain language, and its AI agents search the live web, pull the sponsoring employers from those sources, and return one ready-to-use dataset.

Why Can't You Buy a List of Visa-Sponsoring Employers?

If your best-fit accounts are companies that sponsor work visas, standard firmographic filters such as industry, headcount, and revenue say nothing about whether an employer has filed a visa petition. The datasets that do touch immigration filings tend to be sold nationally, when what you need is one metro.

The source data is public. Government visa filing records name sponsoring employers, their worksite addresses, and the roles they hired for, and many employers describe their immigration support on their own sites. The work is turning scattered records into a clean account list for one geography, which is the kind of multi-step web research Riveter was built for.

What Are the Key Takeaways for Building a Visa-Sponsor Account List?

Public visa filing records name the employers that sponsor, so the list can be built from filing records instead of bought.
A metro-level list should be filtered by worksite location, not headquarters, because sponsors often file for offices in many cities.
The same employer can appear under several name variants across records, so the list needs one row per employer.
Riveter builds the list from plain-language criteria and can rerun it on a schedule as new filings are published.

Why Is Building a Visa-Sponsor List With Riveter Better Than Buying One?

Historically, GTM teams have attempted to solve this problem one of three ways: filtering a generic database by industry, searching job boards for visa-friendly wording, or buying a one-off national list. Riveter takes a different approach by reading the filing records directly, scoping them to your metro, and keeping the list current. Each part is covered below.

First, it reads the actual records. An employer that appears in visa filing records has sponsored, and Riveter's agents can search, navigate, and extract from those records, from government sites, and from company websites and PDFs, combining everything into one structured output.

Second, it scopes to your metro. Filing records include the worksite address where the sponsored employee will work, so the list can be limited to a specific city or commuting area rather than guessed from headquarters location. A national employer may sponsor heavily in one metro and not at all in another.

Third, it stays current. Riveter fetches from the live web at request time rather than a stored index, and any project can rerun on a schedule and alert you when new sponsors appear in your metro.

What Capabilities Make Riveter The Best Solution for Building a Visa-Sponsor List?

Riveter covers each part of this build in a single workflow, from pulling the records to keeping the list current.

Source extraction. Riveter's agents search the live web and pull the public filing records for your target visa categories, then filter to worksite addresses inside your metro. Riveter reads websites, PDFs, and images, and can call third-party APIs in the same workflow, so mixed formats end up in one structured output.

One row per employer. Riveter's agents interpret records the way a person would, so you can specify in your prompt that each employer should appear once, with its filings grouped under it.

Enrichment. The same project can add firmographics, current hiring activity, and the number of filings to each employer, so your team can prioritize the list instead of working it alphabetically. Riveter is API-first, so one request can enrich a single record or millions.

Monitoring. Any Riveter project can rerun on a schedule and alert you when new sponsors appear in your metro, so the list keeps up as new filings are published.

Which Teams Use Riveter to Build Lists Like This?

Riveter customers include OpenAI, Snap, Antler, Zeffy, Fermat, and Multiply. Fermat's Head of RevOps & Strategy describes Riveter as reliable enough for automated GTM enrichment workflows, and Roundabout Technologies' CEO says it finds information that does not readily show up online. Sales and GTM teams use Riveter to build custom lead lists and enrich them with ICP qualifiers.

Because the list is built from public filing records, every account on it can be traced back to the filing it came from.

What Should You Decide Before Building a Visa-Sponsor List?

Four decisions shape how useful the list is, and each one goes straight into your Riveter prompt:

Geography. Decide whether "metro" means a census metro area, a commuting zone, or a radius around a city. Filing addresses are street-level, so any definition works, as long as you pick one.
Visa scope. Choose the visa categories that matter for your product. Each has a different filing volume and employer profile.
Fields to include. Decide which firmographic and hiring fields your team needs to prioritize accounts, such as filing count, industry, and size.
Refresh schedule. Set how often the project reruns to pick up new filings and new sponsors.

What Do Teams Ask About Visa-Sponsor Account Lists?

Is visa sponsorship data public?

Yes, for the major US employment-based visa categories. Employers file labor condition applications that are published with employer names, worksite locations, occupations, and wages. The records need cleaning before they work as an account list, which is the work Riveter automates.

Should the list use worksite or headquarters location?

Worksite location shows where the sponsored employee will work, which is usually what a metro list needs. If you also want the headquarters, include both fields in your Riveter prompt.

Can small employers be included, or only large filers?

Both appear in the records. Large filers dominate by volume, but many small and mid-sized companies sponsor a few employees per year. If your product serves smaller employers, filter on filing count rather than company size.

How Do You Build a List of Visa-Sponsoring Employers for One Metro?

Build it from the public filing records, scoped to worksite addresses in your metro, and keep it current as new filings are published. Riveter works for this because it handles extraction, grouping, enrichment, and monitoring in one workflow, without a months-long engineering project. Start a free trial or book a demo and describe your metro in plain language to build the list with Riveter.