Manta Scraper

Pull US small-business profiles from Manta.com at scale — business name, industry category and sub-category, full mailing address, and phone on virtually every row, plus website, description, email, revenue range, employee count, and year founded wherever Manta publishes them. One clean row per company. Built for lead-generation teams, sales prospectors, and market researchers who need structured small-business firmographics without digging through directory pages by hand.

Why This Scraper?

• Nationwide coverage — all 50 US states plus DC — target a single state, a handful, or sweep the whole country; pick states by name from the dropdown (the input field uses standard two-letter codes like RI, NY, TX).
• 10 featured industries, or sweep all at once — Consumer Products & Services, Professional Services, Restaurants & Bars, Health & Medicine, Automotive, Construction, Real Estate, Financial Services, Education, and Technology; pick one, or choose "All categories" to sweep every industry in a single de-duplicated run.
• 15 fields per business, with published fill rates — measured across 2,471 real profiles: name, category, sub-category, city, state, ZIP, and profile URL on 100% of rows, phone on 98.5%, street address on 94%, website on 76%, description on 72%. You know which columns arrive populated before you spend a credit.
• Firmographics filed by the business itself, not modelled — estimated annual revenue range, employee count, and year founded come straight off each company's own Manta profile. Across those same 2,471 profiles: year founded on 41% of rows, revenue range on 26%, employee count on 25% — roughly double that in Technology and Professional Services listings.
• Decoded direct website URLs — the real business website, not a redirect wrapper, so your lists land ready to use.
• Two ways to target — filters or URLs — browse by state plus industry, or paste Manta category, state, and /c/ company-profile URLs directly; pasted URLs take priority and honor any filters baked into them.
• One clean row per business — a flat, deduplicated schema with empty fields normalized to null and every phone number in one consistent (555) 123-4567 shape, ready to drop into a CRM, spreadsheet, or database.
• Exact caps, or an uncapped full sweep — ask for 250 businesses and you get exactly 250, or set the cap to 0 and the run works through the listing at roughly 5,000–7,000 businesses per hour of run time, which finishes most single-state niche listings in one pass.

Use Cases

Lead Generation

• Build targeted small-business contact lists — phone on 98% of rows, website on 76%, email where Manta lists it
• Source local-business leads by industry within a specific state
• Assemble outreach lists for a single city, state, or nationwide sweep
• Refresh stale prospect lists with current Manta profile data

Sales Prospecting

• Qualify accounts by revenue range and employee count before outreach
• Prioritize established businesses by year founded
• Segment a territory by industry category and sub-category
• Pull a clean book of accounts for a new sales region

Market Research

• Map small-business density by state and industry
• Compare industry mix across multiple states
• Size a local market by counting active businesses in a category
• Track which industries dominate a given metro or state

Competitive Analysis

• List every competitor in a category-and-state slice
• Benchmark competitors by revenue range and headcount
• Find independent operators a national chain competes with locally
• Monitor a niche industry's roster across states

CRM Enrichment

• Append revenue range, employee count, and founding year to existing records
• Fill missing phone, website, and email on known accounts
• Standardize messy address data into street, city, state, and ZIP
• Enrich a single account on demand by pasting its Manta profile URL

Getting Started

One State, One Industry

The simplest run — restaurants and bars in Rhode Island:

{
    "states": ["RI"],
    "category": "restaurants_and_bars"
}

Multiple States With a Cap

Professional-services firms across New York and Texas, capped at 500 results:

{
    "states": ["NY", "TX"],
    "category": "professional_services",
    "maxResults": 500
}

Paste Manta URLs Directly

Mix a category-and-state browse page with a single company profile — URLs take priority over the filters:

{
    "searchUrls": [
        "https://www.manta.com/mb_43_C4_40/restaurants_and_bars/rhode_island",
        "https://www.manta.com/c/mx4d4pk/finn-s-harborside"
    ],
    "maxResults": 0
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchUrls	string[]	[]	One or more Manta.com URLs — category/state browse pages or individual /c/ company profile pages. When provided, these take priority and the State and Category filters are ignored.

Filters

Used only when no URLs are provided above.

Parameter	Type	Default	Description
states	select[]	[]	One or more US states (all 50 plus the District of Columbia). Pick from the dropdown by name; the input value is the standard two-letter code (RI, NY, TX). Leave empty to search nationwide. With several states, the Max Results cap is shared in the order chosen — earlier states may use it up first.
category	select	All categories	A single industry: one of 10 featured categories, or "All categories" to sweep across all 10 industries in one run.

Limits

Parameter	Type	Default	Description
maxResults	integer	100	Maximum business profiles to return across all sources. Set to 0 for no cap: the run then works through the listing until it is exhausted, a 50,000 safety ceiling is reached, or the run hits its time limit (1 hour by default, raisable in the run options). At roughly 5,000–7,000 businesses per hour, listings up to about 5,000 profiles finish end to end. The cap is exact: ask for 200 businesses and you get 200, never more, so you are never charged for results you did not request. Across multiple states, categories, or URLs the cap is filled in order — earlier sources may use it before later ones are reached.

Output

Each row is one business profile. Here's a representative result:

{
    "name": "Finn's Harborside",
    "category": "Restaurants",
    "subcategory": "Eating Places",
    "description": "Waterfront restaurant serving fresh New England seafood, steaks, and craft cocktails on the harbor.",
    "address": "38 Water St",
    "city": "East Greenwich",
    "state": "RI",
    "zip": "02818",
    "phone": "(401) 884-6363",
    "website": "https://www.finnsharborside.com",
    "email": "info@finnsharborside.com",
    "revenueRange": "$2.5 to 5 million",
    "employeeCount": "20 to 49",
    "yearFounded": 1998,
    "url": "https://www.manta.com/c/mx4d4pk/finn-s-harborside"
}

Field	Type	Description
name	string	Business name
category	string	Primary industry category
subcategory	string | null	More specific industry sub-category when published
description	string | null	Business description / about text (about 72% of rows)
address	string | null	Street address line (94% of rows)
city	string | null	City
state	string | null	US state (two-letter)
zip	string | null	ZIP / postal code
phone	string | null	Primary phone number, standardized to (555) 123-4567 (extensions kept as x123); 98.5% of rows
website	string | null	Business website URL, direct with redirect wrappers removed (76% of rows)
email	string | null	Contact email when listed (17% of rows)
revenueRange	string | null	Estimated annual revenue — a band such as $1 to 2.5 million, or the exact figure the business filed, such as $140,000. Always currency-formatted either way (26% of rows)
employeeCount	string | null	Headcount — a band such as 20 to 49, or the exact number the business filed, such as 32 (25% of rows)
yearFounded	integer | null	Year the business was founded (41% of rows)
url	string	Manta.com profile URL for this business

Nine fields land on effectively every row: name, category, subcategory, city, state, zip, url, plus phone and address. The other six reflect what each company chose to file with Manta and come back as null when it filed nothing. Percentages above are pooled across 2,471 profiles from eleven live runs spanning eight industry-and-state slices, so they are what a real run looks like, not a best case.

Tips for Best Results

• Start with a cap, then scale — set maxResults to 50–100 to confirm the data fits your needs, then raise it, or drop it to 0 once you know the slice is small enough to finish.
• Size the slice before you uncap it — an uncapped run covers roughly 5,000–7,000 businesses per hour of run time, so a niche listing (Technology in North Dakota holds about 180) finishes end to end, while a big one (Restaurants in Texas runs to roughly 54,000, Construction in Florida to roughly 149,000) needs either a cap or a longer run-time allowance set in the run options. Any cap you do set is honoured exactly: 250 returns 250 and stops.
• Paste a Manta browse URL to hit an exact industry-geography slice — copy the category-plus-state page straight from your browser to target a precise segment without rebuilding the filters by hand.
• Enrich a single account on demand — drop one /c/ company-profile URL into searchUrls to pull just that business, fully enriched, in one run.
• Firmographics cluster on the same profiles — a business that publishes a founding year also publishes a revenue range 51% of the time and an employee count 51% of the time; one that leaves the year blank sits at 9% and 7%. Sort or filter your export on yearFounded to isolate the fully filled-out records instead of expecting all three on every row.
• Pick Technology or Professional Services for the densest firmographics — measured across live runs, those two lead on employee count (51% and 45% of rows) and revenue range (41% and 42%), roughly four to seven times what Automotive (7% headcount) or Restaurants (11%) return. Construction, Real Estate, Healthcare, and Financial Services sit in between, closer to the consumer end than you might expect.
• Combine states in one run — list several states together and the run works through each in turn, returning one merged, de-duplicated dataset. Because the Max Results cap is shared across them in order, raise the cap (or run states one at a time) when you need full coverage of every state rather than as many as the cap allows.

Pricing

From $2.00 per 1,000 results — flat pay-per-result pricing, well below the cost of manually building small-business lists. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.24	$0.225	$0.215	$0.20
1,000	$2.40	$2.25	$2.15	$2.00
10,000	$24.00	$22.50	$21.50	$20.00
100,000	$240.00	$225.00	$215.00	$200.00

A "result" is one business profile in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate business research, market analysis, and lead generation. Users are responsible for complying with applicable laws and Manta.com's Terms of Service. Do not use extracted data for spam, harassment, or any unlawful purpose, and handle any personal contact details in line with applicable data-protection regulations.