Manta Scraper: Step-by-Step Guide Made Simple

In case you are creating lead lists, or adding value to local business information, Manta (manta.com) is a treasure trove.

A Manta scraper allows you to gather listings in bulk, quickly, cleanly, and ready, so that you can do outreach and not copy-pasting. The following is a step-by-step tutorial accessible to those wishing to do it today, and suggestions on how to achieve better results and export them as your team requires.

Why scrape Manta?

Local business information: Categories, addresses, phone numbers, websites, and so on.
Quick prospecting: Niche by category and location (e.g., “Miami, FL Plumbers“).
Flexible exports: Export as XLSX, CSV or JSON to CRM or analytics processes.
Regular format: Each row corresponds to a business and the set of fields in it is uniformly cleaned.

What you’ll collect (fields)

An optimally constructed Manta scraper could extract the following fields out of every listing page or search results:

Title
Address
Phone
Email
Website
Directions
Verified (Manta’s verification badge, when present)
About (business description)
Service (services offered)
Service Areas
Work Hours
Rate (rate info if provided)
Reviews (aggregate and/or individual)
Review 1, Review 2, Review 3 (top review snippets when available)
Location Type (e.g., headquarters, branch)
Opening Date
Annual Revenue Estimate
SIC Code
Employees (range or estimate number of employees)
Contacts (named contacts if listed)

XLSX Google Sheet

Hint: All profiles do not necessarily contain all fields.

How to: Peel Manta, the making of a pro.

Open Manta
Visit manta and you will find the search interface of the business and categories.
Choose a category and location
In the search field, enter a category (e.g., “HVAC contractor”, “Dentist”, “Coffee shop”) and set the location (city, state, or broader region). Hit search to view results.
Copy the results page link
After your results page is loaded (including filters), take the complete URL at the address bar of your browser. This link encodes your category and location perfectly as an input for your scraper.
Add it in your Manta scraper
Paste that URL into your Manta scraper input box. If your tool supports multiple sources, add several category/location URLs at once (e.g., “Roofers in Austin”, “Roofers in Dallas”, etc.) to build a bigger list in one run.
Add link & start scraping
Click Add Link (or equivalent) to queue it, then hit Start Scraping. The scraper will go through each result page, go through listing links, and scrape the abovementioned fields.
Export the data
At the end of the run, write your workflow required format:
- Team sharing in XLSX and work on Excel.
- CSV for quick uploads to CRMs and email tools
- JSON for developers and data pipelines

The last question is; Why Use Public Scraper Ultimate?

In case you need something other than a Manta scraper, Public Scraper Ultimate is it all. It has mighty scraping features that allow collecting business data through powerful tools and scaling up categories and locations, one-click export in XLSX, CSV, or JSON.

Public Scraper Ultimate automatically handles hours of manual work and provides clean and structured data every time whether you are building lead lists, conducting competitor analysis or simply automating data collection.

Make your data easy to read

Clear header: Have clear column names (precisely as listed above) to ensure that teammates understand the meaning of each field.
Standardize addresses: Separate street, city, state, and ZIP addresses in case your CRM accepts them in individual fields.
De-duplicate: Manta can record the same business on several locations. Eliminate duplicates based on site URL, phone number or fuzzy match on title address.
Check emails: Conduct a pre check email pass and then outreach after the pass to enhance better deliverability.
Label your segment: Add one more column of Category and one more of Location to later be able to filter by segmenting your data (plumber: Category=Plumber, Miami, FL: Location=Miami, FL).

Best practices towards credible outcomes

Test with one category + one city: Start focused: This is to make sure the fields map correctly and then scale.
Respect pagination: This is the same, but ensure that your scraper is in the next pages thereby avoiding missing out on any listing.
Missing data: not all the listings are provided with email or web address, leave such cells empty instead of adding a place holder.
Throttle requests: Polite delays should be used to mitigate rate limits, as well as minimise the likelihood of blocking.
Compliance check: It is always good to revise the Terms of service at Manta and the relevant laws prior to scraping. Responsibly use the data (e.g. respect do-not-contact regulations).

Example workflows

Local lead gen: Export CSV, sort by city and mail-merge outreach to those who list email/website.
Market mapping: That will take a feed of a map or a dashboard of service areas and work hours in a feed using JSON.
Competitor analysis: Sentiment analysis and positioning Pull reviews and About text.

Troubleshooting quick wins

Getting partial results? Make sure that your scraper will go through single listing pages, not the results grid only.
Seeing garbled addresses? Export simple address parser after standardization.
Too few emails? Attempt to collect Website first, and then enrich emails with company site/contact page (respect robots.txt and norms of consent).

FAQs

Is scraping Manta allowed? The Terms of Service of Check Manta and your local laws. Compliant business intelligence is done by many teams through scraping, and you have the duty of using scraping lawfully and ethically.

What export format do I need to use?

XLSX to share with the non-technical colleagues and direct readability.
Bulk imports to CRM/email systems.
JSON because you will feed the data through a program.

Is it possible to scratch several cities simultaneously? Yes–en queue several category/location URLs. Label them to indicate where your lead was sourced.