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Portia VS Mapsdata

Compare Portia VS Mapsdata and see what are their differences

Portia

An open-source visual scraping tool that lets you scrape the web without coding, built by Scrapy...

Rating
0 reviews
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Alternatives Is it good?
Mapsdata

Turn live Google Maps listings into enriched leads, with owner and decision-maker names, direct owner/decision maker emails and phones, and triple email verification.

Rating
0 reviews
Pricing
Freemium Free trial $45 / Monthly
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Alternatives Is it good?
happySEO
Create ai humanized SEO content tailored for ecommerce and small businesses with HappySEO tools. From ai writer to keyword research and analyze tools. sponsored

Which is more popular?

Web Scraping popularity
96% vs 4%
alternatives listed
142 vs 11

Base details

Website, pricing, platforms and company facts side by side.

Portia
Mapsdata
Website github.com mapsdata.io
Pricing —
Freemium Free trial $45 / Monthly Official pricing
Platforms —
Web
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Web Scraping Data Extraction Data Web Scraping API +1
Lead Generation AI Marketing Sales And Marketing Email Marketing Productivity Web Scraping Data Extraction Maps +6

About Portia and Mapsdata

In their own words, as submitted to SaaSHub.

Portia
Mapsdata

No description of Portia yet.

Mapsdata is a local business prospecting + data enrichment platform that transforms real-time Google Maps listings into accurate, verified leads ready for sales and outreach. Rather than simply collecting basic business information, Mapsdata goes a step further by identifying the owners and key...

Read more about Mapsdata

Features and specs

What each product offers, as listed by its team.

Portia 5 features
Mapsdata 0 features
  • Ease of Use
    Portia features a user-friendly visual interface that allows users to build web scraping models without writing any code, making it accessible even to those without programming skills.
  • Open Source
    Being an open-source project, Portia allows users to freely access, modify, and contribute to the code, fostering a collaborative development environment and making it customizable.
  • Integration with Scrapy
    Portia is built on top of Scrapy, a robust web scraping framework, which means it inherits Scrapy's robust features and the ability to handle complex scraping tasks efficiently.
  • Auto-Generated Spiders
    It automatically generates spiders based on the patterns you define through its visual interface, streamlining the process of creating and deploying web scrapers.
  • Cloud Hosting
    Portia can be integrated with Scrapinghub's platform for cloud hosting, which means you can deploy and manage your scrapers in the cloud, ensuring scalability and reliability.

Possible disadvantages

  • Limited Customization
    While the visual interface is easy to use, it doesn't provide the same level of customization and control as writing your own scraping scripts in Scrapy or another framework, which may limit its capabilities for advanced users.
  • Performance
    Portia-generated spiders might not be as optimized as hand-coded spiders, potentially leading to inefficiencies and slower scraping performance in comparison to fully customized solutions.
  • Maintenance and Updates
    As an open-source project, updates and maintenance depend on community contributions, which can sometimes be sporadic and may not keep pace with rapid changes in web technologies.
  • Complex Websites
    For highly dynamic and complex websites, Portia may struggle to generate effective scraping rules and might require manual intervention or additional tools to scrape data correctly.
  • Learning Curve for Advanced Features
    While basic usage is easy, utilizing some of Portia's more advanced features or troubleshooting issues may require a deeper understanding of the underlying technologies, such as Scrapy.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Portia
Mapsdata

Overall verdict

  • Portia is generally considered to be a good tool for those who need to scrape web data without delving deeply into coding. Its open-source nature allows for customization and improvements by the community. However, like any tool, its effectiveness will depend on the specific needs and technical requirements of the user.

Why this product is good

  • Portia is a web scraping tool available on GitHub that is designed to make the extraction of data from websites easier for users who may not have programming expertise. It offers a visual interface for identifying data on the page, making it a user-friendly option for many and particularly suitable for structured data extraction.

Recommended for

    Portia is recommended for users who are looking for a relatively easy and intuitive way to scrape websites, especially those without advanced programming skills. It's suitable for projects that require structured data crawling and for users who appreciate community-driven tools.

No analysis of Mapsdata yet.

Videos

Walkthroughs and reviews on video.

Portia 3 videos + Add
Mapsdata 0 videos + Add

My Time at Portia Review

More videos

  • - My Time At Portia Switch Review - STARDEW 3D!?
  • - My Time at Portia Review 2019

No Mapsdata videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Portia
Mapsdata
96% 96%
Web Scraping
4% 4%
0% 0%
Marketing
100% 100%
100% 100%
Data Extraction
0% 0%
0% 0%
Productivity
100% 100%

Questions & Answers

As answered by people managing Portia and Mapsdata.

What makes your product unique?

Mapsdata's answer:

Mapsdata goes beyond traditional Google Maps scraping by identifying the actual owners and decision-makers behind local businesses, not just collecting business names and phone numbers.

Our proprietary enrichment engine cross-references 7+ independent sources, including business directories, official records, company websites, and proprietary datasets, to uncover direct owner emails, personal business phone numbers, and 50+ additional data fields.

Unlike platforms relying on outdated databases, Mapsdata researches and enriches every lead on demand. Built-in email verification, phone number classification, and multi-source identity matching mean users receive accurate, outreach-ready contacts without needing multiple separate tools.

Why should a person choose your product over its competitors?

Mapsdata's answer:

Most Google Maps scrapers provide basic business listings, while traditional B2B databases often have limited coverage of smaller local businesses.

Mapsdata combines the strengths of both. Users can discover businesses directly from Google Maps, identify their owners, find direct emails and phone numbers, verify contact details, and export complete lead lists through one platform.

Key advantages include 7+ enrichment sources, 50+ data fields, built-in email verification with reported bounce rates below 2%, direct owner contact discovery, and fresh data collected on demand.

Instead of combining tools like Outscraper, Apollo, Hunter, and separate email verification services, Mapsdata brings the entire local business prospecting workflow together. It also provides API and MCP integrations for automated lead generation.

How would you describe the primary audience of your product?

Mapsdata's answer:

Mapsdata is built for anyone who needs accurate local business leads and direct access to the people making purchasing decisions.

Our primary users include lead generation agencies, digital marketing agencies, outbound sales teams, SDRs, growth marketers, B2B service providers, and founders looking to acquire new customers.

It's particularly valuable for agencies selling SEO, web design, advertising, automation, AI solutions, and other services to local businesses.

Mapsdata also serves developers and automation teams looking to integrate Google Maps business discovery and contact enrichment into their existing workflows using our API and MCP integrations.

What's the story behind your product?

Mapsdata's answer:

Mapsdata started from a simple frustration: finding local businesses was easy, but actually reaching the people behind them was unnecessarily difficult.

Google Maps had millions of potential customers, but most scraping tools only returned basic business information. Finding the real owner, tracking down their direct email or phone number, and verifying those details often required several different services, manual research, and a lot of wasted time.

We wanted to build something better.

What began as a way to simplify local business prospecting evolved into a complete lead generation and enrichment platform. We developed our own matching technology to connect information from multiple independent sources, identify business owners, discover direct contacts, and verify everything before delivery.

The goal has always been straightforward: turn a Google Maps search into a list of real, reachable decision-makers, without the complexity of stitching together five different tools.

Which are the primary technologies used for building your product?

Mapsdata's answer:

Mapsdata combines several technologies to power its local business discovery and enrichment infrastructure:

  • Google Maps data extraction: Live business discovery, location-based searches, and business profile collection.
  • Proprietary data enrichment engine: Multi-source matching across 7+ business directories, official records, websites, and proprietary datasets.
  • Web scraping and crawling: Automated extraction of business websites, contact information, and publicly available data.
  • Entity resolution and identity matching: Cross-referencing businesses and individuals to identify owners and decision-makers.
  • Email discovery and verification: Contact discovery with domain, MX, SMTP, and deliverability checks.
  • Phone intelligence: Phone number enrichment, validation, and mobile, landline, or VoIP classification.
  • REST API: Programmatic access to business searches, enrichment, and lead data.
  • Model Context Protocol (MCP): AI agent integrations for automated business research and lead generation.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Portia no reviews yet
Mapsdata no reviews yet
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