Manta Email Scraper

Manta Email Scraper

The Manta Email Scraper pulls publicly indexed contact emails out of Manta, one of the largest small-business directories in the United States. It is aimed squarely at teams selling into owner-operated companies of two to fifty people.

Manta profiles are written by or for the business itself, which is why company identity comes through so cleanly. In our measured run the Manta Email Scraper parsed 10 result blocks and named a business in all 10 of them.

The trade-off is handle resolution: only 5 of those 10 rows resolved to a canonical profile URL. You get the company name and the email either way, which is what most outbound workflows actually need.

What the Manta Email Scraper does

The Manta Email Scraper builds Google queries with the site: operator against manta.com. It parses each result block structurally, locating the <h3> title and then the smallest surrounding block.

A domain-filtered regex extracts emails from that block text. Matches are normalised, deduplicated globally, and pushed to your Apify dataset the moment they are found.

The Manta Email Scraper never logs into Manta, never uses a Manta API and never opens the Manta website. There is no browser, no JavaScript rendering, no authentication and no cookies.

Why the Manta Email Scraper fits SMB-focused selling

Payroll, bookkeeping, POS and business-banking vendors all share a problem: their buyer has no LinkedIn presence and no marketing team. Manta is one of the few places those companies describe themselves in public.

The Manta Email Scraper converts that self-description into a workable small business email list. Because keyword and description travel with every row, you can segment by trade before you write a single line of copy.

Regional distributors and franchise development teams use the Manta Email Scraper the same way, mapping how many independent operators sit inside a state before committing budget.

Features of the Manta Email Scraper

Everything below is implemented in the Manta Email Scraper today.

Feature	What it means in practice
Google site: search over manta.com	Targets indexed US small-business profiles
Query expansion	Base, quoted and intitle: variants plus one query per modifier; base queries run first
Domain filtering	Only emails ending in your customDomains values are kept
Global deduplication	Each email is emitted once per run across every query and page
Email normalisation	Handles name [at] domain [dot] com, name (at) domain, name @ domain.com, domain .com, zero-width characters and the full-width ＠
Junk filter	Rejects email@, yourname@, test@, xxx@ and single-character locals
Boundary-correct matching	@gmail.com does not match inside @gmail.company or @gmail.com.br
Soft-wrap repair	Drops a hit that is only the tail of another email in the same block
Structural block parsing	Works from the <h3> title, never from Google's CSS class names
Whole-page fallback parser	A layout change degrades to "emails without account details", not "no emails"
Concurrency control	asyncio worker pool with a shared stop signal on maxEmails
Retries and block detection	Up to 3 attempts per page, exponential backoff, fresh proxy session per request, CAPTCHA and consent pages detected and retried
Failed-query requeue	Blocked or failed queries are retried once at the end of the run
Resumable state	Key-value store state keyed by an input hash, saved on PERSIST_STATE, MIGRATING and ABORTING
Run summary logging	Pages fetched, blocked pages, retries and emails per page

How the Manta Email Scraper works

A run of the Manta Email Scraper always follows six steps.

1. Read your input: keywords, location, email domains and limits.
2. Build queries such as site:manta.com auto repair shop "@gmail.com" "Columbus, OH".
3. Fetch Google result pages through the Apify GOOGLE_SERP proxy with async aiohttp.
4. Parse each result block structurally to isolate title, company label and snippet.
5. Extract and normalise emails using a domain-filtered regex.
6. Deduplicate globally and push each lead to the dataset immediately.

The Manta Email Scraper streams rows to the dataset as it finds them, so aborting a long run never loses what has already been collected.

Input fields for the Manta Email Scraper

These are the exact inputs the Manta Email Scraper accepts, with its shipped defaults.

Field	Type	Default	Meaning
keywords	array (required)	["small business", "contractor"]	Search terms describing the companies you want
location	string	""	Optional location phrase added to every query
customDomains	array	["@gmail.com", "@yahoo.com"]	Only emails on these domains are kept; @ optional
maxEmails	integer 1-10000	20	Stop after this many unique emails
countryCode	string	""	Two-letter country for the search proxy (US, GB, DE...)
expandQueries	boolean	true	Search each keyword x domain pair in several phrasings
queryModifiers	array	["email", "contact", "enquiries", "owner", "get a quote"]	Extra words combined with each keyword when expansion is on
maxPagesPerQuery	integer 1-50	30	Page cap per query
maxConcurrency	integer 1-20	5	Parallel queries

Example input for the Manta Email Scraper

{
  "keywords": ["auto repair shop", "machine shop", "commercial cleaning"],
  "location": "Columbus, OH",
  "customDomains": ["@gmail.com", "@yahoo.com", "@aol.com", "@sbcglobal.net"],
  "maxEmails": 500,
  "countryCode": "US",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "owner"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}

Location: the highest-leverage input in the Manta Email Scraper

Manta's coverage is broadest in mid-sized American cities, which is exactly where most SMB software vendors underinvest. The Manta Email Scraper rewards you for going there.

Strong location values include "Columbus, OH", "Dayton, OH", "Greensboro, NC", "Springfield, MO", "Boise, ID" and "Knoxville, TN". County phrasing such as "Franklin County" also works.

Google caps a single query at roughly 300 results, so one city per run beats one state per run. Twelve Ohio cities will outproduce a single "Ohio" query by a wide margin.

Stack the datasets afterwards. The Manta Email Scraper deduplicates globally within a single execution, so dedupe across separate runs in your warehouse or spreadsheet.

Used this way, the Manta Email Scraper becomes a repeatable territory-mapping routine rather than a one-off export.

Output fields from the Manta Email Scraper

Every dataset item written by the Manta Email Scraper carries all fourteen fields below.

Field	Meaning
network	Platform name
keyword	The keyword that produced the lead
query	The exact Google query used
title	Raw result title
accountName	Account label Google prints
fullName	Display name parsed from a profile-style title; empty for post captions
username	URL-safe handle when the platform exposes one; otherwise null
profileUrl	Canonical account URL when a handle is known; otherwise empty
url	Direct platform link when exposed, else the profile URL
description	Bio snippet, cleaned of labels and engagement counters
email	Lower-cased email address
emailDomain	The matched domain
possiblyTruncated	true when Google's snippet ellipsis touched the email
foundAt	ISO 8601 UTC timestamp

Example output from the Manta Email Scraper

[
  {
    "network": "Manta",
    "keyword": "auto repair shop",
    "query": "site:manta.com auto repair shop \"@gmail.com\" \"Columbus, OH\"",
    "title": "Buckeye Auto & Tire LLC - Columbus, OH - Manta.com",
    "accountName": "Buckeye Auto & Tire LLC",
    "fullName": "Buckeye Auto & Tire LLC",
    "username": "buckeye-auto-tire-llc",
    "profileUrl": "https://www.manta.com/c/buckeye-auto-tire-llc",
    "url": "https://www.manta.com/c/buckeye-auto-tire-llc",
    "description": "Independent repair shop serving Franklin County since 2009. Estimates: buckeyeautotire@gmail.com",
    "email": "buckeyeautotire@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-08-31T12:05:11.630Z"
  },
  {
    "network": "Manta",
    "keyword": "commercial cleaning",
    "query": "site:manta.com commercial cleaning \"@yahoo.com\" \"Columbus, OH\"",
    "title": "Scioto Facility Services - Manta.com",
    "accountName": "Scioto Facility Services",
    "fullName": "Scioto Facility Services",
    "username": null,
    "profileUrl": "",
    "url": "",
    "description": "Nightly janitorial for offices and clinics. Bids to sciotofacility@yahoo.com",
    "email": "sciotofacility@yahoo.com",
    "emailDomain": "@yahoo.com",
    "possiblyTruncated": false,
    "foundAt": "2026-08-31T12:06:48.201Z"
  }
]

Use cases for the Manta Email Scraper

The Manta Email Scraper is at its best when the target is a small, owner-run American company.

Use case	Who runs it	Typical setup
Payroll and bookkeeping software outreach	B2B SaaS	["auto repair shop", "restaurant"], location: "Dayton, OH"
Regional distributor prospecting	Wholesale supplier	["machine shop", "fabrication"], location: "Greensboro, NC"
Franchise gap mapping	Franchise development	["commercial cleaning"], location: "Springfield, MO"
Business insurance lists	Insurance brokerage	["landscaping", "roofing"], location: "Knoxville, TN"
Local agency retainer pitching	Marketing agency	["dentist", "law firm"], location: "Boise, ID"
SMB market sizing	Market researcher	One keyword, 20 city runs, compare unique counts
Trade-show invite lists	Event organiser	["contractor"] across a whole state, city by city
CRM enrichment	RevOps team	Match accountName against existing accounts

Tuning the Manta Email Scraper for better yield

Use industry language that a small business would write about itself. "machine shop", "powder coating" and "CNC machining" reach different Manta profiles than "manufacturing".

Widen customDomains aggressively. American SMBs still lean on @gmail.com, @yahoo.com, @aol.com, @sbcglobal.net, @comcast.net and @hotmail.com, and each domain is searched separately.

Leave expandQueries on so the Manta Email Scraper routes around Google's per-query cap. Base queries always run first, so high-signal results land early.

Set countryCode to US. Manta is US-centric, and a US vantage point keeps the Manta Email Scraper focused on relevant results.

What to expect from a Manta Email Scraper run

Our measured Google run parsed 10 result blocks, identified a business on all 10, resolved 5 profile URLs and produced 10 unique emails. Identity coverage is excellent; handle resolution is only about half.

That pattern is normal for Manta. Google frequently prints the company name without exposing a path Google can attribute as a handle, so username comes back null.

Plan your workflow around accountName and email rather than profileUrl, and the half-rate on handles stops mattering.

Responsible use, GDPR and CAN-SPAM

The Manta Email Scraper only collects addresses that companies have published on a public Manta profile. Sending obligations remain with you, and this is guidance rather than legal advice.

CAN-SPAM requires accurate headers, an honest subject line, a physical postal address and a working opt-out honoured promptly. GDPR and UK GDPR require a lawful basis, a privacy notice and a route to erasure if you also contact European businesses.

A sole trader's firstname@gmail.com is personal data even when published commercially. Suppress opt-outs, keep provenance records, and do not resell the raw dataset.

Limitations of the Manta Email Scraper

These constraints are real; read them before building a campaign on the Manta Email Scraper.

• username and profileUrl resolve on only some rows - 5 of 10 in our measured run. Google often prints a company name without an attributable handle, so those fields come back null and empty. This is a Google limitation, not a bug.
• Only finds companies whose email is publicly visible in Google's index.
• Google caps a single query at roughly 300 results, which is why query expansion exists.
• possiblyTruncated: true means Google's snippet ellipsis touched the address - verify before sending.
• Requires the Apify GOOGLE_SERP proxy; the Manta Email Scraper cannot run without Apify proxy credentials.
• Free Apify plans are capped at 100 emails per run; paid plans are uncapped.
• Results vary with keywords, domains and location, and no volume is guaranteed.
• Revenue bands, employee counts and founding years are not extracted; the output schema is the fourteen fields above.

Manta Email Scraper FAQ

How many results should I expect from the Manta Email Scraper?

Our measured run parsed 10 blocks, named a business in all 10, and produced 10 unique emails. Totals scale with the number of cities and trades you queue, and no volume is guaranteed.

Why is profileUrl empty on half my rows?

Google does not always expose an attributable handle for a Manta listing. When it does not, username is null and profileUrl is empty, but accountName, fullName and email are still populated.

Does the Manta Email Scraper use the Manta API?

No. It never logs in, never calls a Manta API and never opens the Manta website. Everything comes from publicly indexed Google results.

Does it return revenue or employee-count data?

No. The Manta Email Scraper writes the fourteen output fields listed above. Some of that context may appear inside description, but it is not parsed separately.

Can I target business domains rather than webmail?

Yes. Any value in customDomains works, with or without the leading @.

What does possiblyTruncated mean?

Google's snippet ellipsis touched the email, so the address may be cut short. Verify or exclude those rows before an outbound send.

Do I need Apify proxy credentials?

Yes. The Manta Email Scraper runs on the Apify GOOGLE_SERP proxy and cannot operate without it.

How do I cover an entire state?

Run the Manta Email Scraper one city at a time and merge datasets. It beats Google's per-query cap far more effectively than a single statewide query.

Is the free plan enough?

For evaluation, yes - it caps a run at 100 emails. Paid plans remove the cap.

Can a run resume after a migration?

Yes. State is kept in the key-value store keyed by an input hash and saved on PERSIST_STATE, MIGRATING and ABORTING events.

Which sibling Actors pair best with this one?

Add the Yellow Pages Email Scraper for consumer-facing trades, the Better Business Bureau Email Scraper for accredited operators, and the Bizapedia Email Scraper when you need the registered entity behind a trading name.

Related Actors

Actor	What it collects
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Manta Phone Number Scraper	Public phone numbers from Manta
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Bark Email Scraper	Public contact emails from Bark
Better Business Bureau Email Scraper	Public contact emails from Better Business Bureau
Bizapedia Email Scraper	Public contact emails from Bizapedia
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Kompass Email Scraper	Public contact emails from Kompass
Lacartes Email Scraper	Public contact emails from Lacartes
MapQuest Email Scraper	Public contact emails from MapQuest
N49 Email Scraper	Public contact emails from N49
Porch Email Scraper	Public contact emails from Porch
Scoot Email Scraper	Public contact emails from Scoot
Thomasnet Email Scraper	Public contact emails from Thomasnet
Thumbtack Email Scraper	Public contact emails from Thumbtack
Touch Local Email Scraper	Public contact emails from Touch Local
TradeIndia Email Scraper	Public contact emails from TradeIndia
Trustpilot Email Scraper	Public contact emails from Trustpilot
Tupalo Email Scraper	Public contact emails from Tupalo
Yalwa Email Scraper	Public contact emails from Yalwa
Yellow Pages Email Scraper	Public contact emails from Yellow Pages
Angi Email and Phone Number Scraper	Emails and phone numbers from Angi
Bark Email and Phone Number Scraper	Emails and phone numbers from Bark
Better Business Bureau Email and Phone Number Scraper	Emails and phone numbers from Better Business Bureau
Bizapedia Email and Phone Number Scraper	Emails and phone numbers from Bizapedia
Brownbook Email and Phone Number Scraper	Emails and phone numbers from Brownbook

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