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Extract Contacts

Extract contact data

OperationalCredits 10 per callp50 2593msData Scraping

Overview

Contact Extractor works by extracting contact data from a website URL using web scraping techniques. It returns the contact emails, phone numbers, and places found on the website.

Live Test Extract Contacts Source →

Formula

One function covers the whole catalog: the first argument names the source, the rest are its inputs, and the "field" pair says which single value lands in the cell. Formulas covers the grammar that applies to all of them.

=VERVE("contactextractor", A2, "field", "emailCount")

A2 holds the url you are looking up. Drag the formula down and each row resolves on its own.

With literal values

Nothing has to come from a cell — typed values work the same way.

=VERVE("contactextractor", "https://en.wikipedia.org/wiki/Email_address", "field", "emailCount")

Inputs

Required inputs are positional, in the order below. Everything else is passed as a "name", value pair after them — the same shape as SUMIFS. Premium inputs are accepted on every plan but only take effect on plans that include them.

InputTypeWhere it goesDescription
urlRequiredstringargument 2 (A2)The URL of the web page to extract contact data from
url
limitOptionalPremiumnumber"limit", valueLimits the number of found contact details found on the page. Set -1 for unlimited
default 5

Passing an option

=VERVE("contactextractor", A2, "limit", 5)

What lands in your sheet

The "field" pair is what makes the formula resolve to one cell. Its value is a dot-path from the table below, so swapping it is how you pull a different value — one formula per column.

Seeing everything at once

Drop the "field" pair and the formula returns the whole response instead: two columns, field name on the left and value on the right, spilling from the cell you typed in.

=VERVE("contactextractor", A2)
Good for exploring, not for filling down

The second row's table would land on top of the first's, and every cell after the first reads #REF! (#SPILL! in Excel). Keep one per sheet, or name a field, and leave the cells below and to the right empty.

Response fields

Paths are relative to data. Each one is exactly what the "field" pair accepts, so swapping it is how you pull a different value into a cell. On a plan without a Premium field the cell reads #PREMIUM(field) rather than a value, so a locked field never looks like a real answer.

Use as "field"TypeExample cell valueDescription
urlstringhttps://en.wikipedia.org/wiki/Email_addressThe web page URL that was scraped, echoed back from the request
emailsarray["[email protected]","[email protected]","[email protected]"]Unique email addresses found on the page, in order of appearance and capped at `limit`
phonesarray[]Unique phone numbers found on the page, in order of appearance and capped at `limit`
placesarray["China","Japan","Russia"]Unique places or street addresses found on the page, in order of discovery and capped at `limit`
emailCountnumber27Number of email addresses included in the `emails` array
phoneCountnumber0Number of phone numbers included in the `phones` array
placeCountnumber5Number of places included in the `places` array
uniqueDomainsPremiumarray["example.com","example.org","s.example"]Unique domains extracted from the returned `emails` (e.g., example.com, company.org)

Filling a whole column

Both platforms make one batched call for a column rather than one request per cell, and both cost the same — 10 credits per row looked up. How you write it differs, because the two runtimes batch at different points.

Rows 2–100 in one call
=VERVE("contactextractor", A2:A100, "field", "emailCount")

In Google Sheets, give the arguments ranges and the answers spill down from the cell you typed in. Custom functions there run synchronously and in isolation, so dragged cells cannot be coalesced — the range form is how a column becomes one call. The "field" pair is required here: a per-row two-column table has nowhere to spill. Use a full column per input (A2:A100, not A2) — a single-cell reference is read as row 1 only and the rest of the column comes back blank.

In Excel, type the formula once and fill down — no range form and none needed, because its runtime is asynchronous and the add-in coalesces the calls a fill produces into a single batched request. Do not hand VERVE.CALL a range: Excel flattens it into positional arguments, so A2:A100 arrives as a hundred separate arguments and the cell reads #ERR rather than filling.

Either way, column A holds your url values and the answers land beside them, one row each, blank rows skipped.

When a cell doesn't fill

A failed lookup returns readable text starting with #ERR rather than a spreadsheet error, because Excel cannot show a custom message on a real error — you would get a bare #VALUE! with no reason. The trade-off is that IFERROR() will not catch it; test with LEFT(cell, 4) = "#ERR" instead. Error handling covers the rest.

Cell readsWhat happened
#ERR Not connectedNo API key saved. Open the side panel and connect your account.
#ERR Replace <name> with a cell or valueA preview formula was copied as-is. Swap the placeholder for a cell reference.
#ERR No "x" in contactextractorAn option name this source does not take. The message lists the ones it does.
#ERR No data point "…"The "field" path is not in the response. Check it against the table above.
#PREMIUM(field)The field exists but your plan does not include it.
#ERR Out of creditsThe cycle's credits are spent. Usage resets on your billing date.

Before the formula works

The add-in reads the API key you saved once in the side panel — the key never goes in the formula, so a shared sheet does not leak it and a collaborator without access simply sees the last calculated values.

  1. Install the add-in for Google Sheets or Excel.
  2. Open the side panel and sign in, or paste a key from your dashboard.
  3. Type the formula above into any cell.

Use cases

Sales Prospecting Enrichment
Sales reps scan company contact pages to extract direct support emails and phone numbers before launching targeted outbound calling campaigns.
Local Directory Aggregation
When curating regional merchant directories, indexing bots scrape storefront websites to verify physical street addresses and telephone lines.
Vendor Onboarding Verification
Before approving newly registered suppliers, procurement portals check listed corporate websites to confirm published business locations and operational telephone numbers.
Talent Sourcing Workflows
To build candidate pipelines, recruiting platforms scrape agency team pages to discover public email addresses for key department heads.

Other ways to use Extract Contacts

Set up Extract Contacts on VerveSheets, or reach the same source a different way. Your VerveSheets account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContext →Reference →

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