Articles » Alternatives » Looking for OpenMart Alternative? Why Scrap.io is the Better Google Maps Scraper

After watching dozens of videos about Google Maps scrapers, I kept seeing the same thing. Everyone talks about scraping thousands of places, collecting email addresses, and boosting productivity. But few talk about real problems. No real scalability, scraping tied to your IP address, limited filters, steep learning curves when choosing the best Google Maps scraper.

Maybe it's time to dig deeper. Let's go beyond basic info. Let's talk about the data that really matters. The kind of data that helps you segment, personalize, and enrich your database.

Today we're comparing two popular Google Maps scraping tools, OpenMart and Scrap.io. How do they work? What kind of data can you actually extract? Which one is the best Google Maps scraper for lead generation? 

Table of Contents

What Are OpenMart and Scrap.io Really About?

Let's start with the basics. What are OpenMart and Scrap.io? I won't bore you with a never-ended generic description. What's more interesting is this: What do their landing pages tell us?

Let's compare both titles, shall we? For OpenMart, we can read "local business data intelligence platform." On Scrap.io, "Google Maps leads generator." At first glance, they sound identical. After all, local business data is basically Google Maps data, right?

Now, let's dig deeper. OpenMart also says, "Want to know everything about local businesses? OpenMart's sales intelligence agents have you covered." Scrap.io also says, "Turn Google Maps into a leads machine. Try for free for 7 days and cancel anytime."

Interesting. OpenMart seems to highlight the use of AI for lead generation to qualify leads, while Scrap.io focuses on ease of use and scalability for Google Maps data extraction. I could go on, but let's be real. A demo will speak louder than a thousand words.

Comparing the Interfaces: First Impressions Matter

Okay, ladies and gentlemen, it's time to compare both tools. As usual, let's start with the basics, meaning how to do a Google map search.

So, on OpenMart, the interface looks like this. We have three main tabs: Google map search, AI leads finder, and Shopify store.

On Scrap.io, each request is divided into five parts. Actually, more into two parts. First, we have the Google Maps category. And it does make sense because each time a company registers itself, it has a choice among 4,000 different Google Maps categories.

And once we have picked up a category, we can select the countries, the level one division, the level two division of the city. Level one division represents the state and level two division represents the county in case you asked. And we have just called them this way because, well, because depending on the country you choose, obviously the level one and level two division will have a different meaning.

Running the Same Search: OpenMart vs Scrap.io

Okay, let's make a basic Google map search. Here we have access to some suggestions but it's not necessarily a good idea. So let's go for restaurants and let's take a look at the advanced search.

So business website status: has a website, has no website, or all. Location search by city. Let's go for Nashville, Tennessee, USA. We can specify zip code, the number of locations, the rating from 0 to 5 - more like from 1 to 5 because you cannot give a zero star rating - and the order platforms. We'll come back to that later.

So let's click on search and see how it goes. We have access to 2,000 results.

Let's do the same thing on Scrap.io. So, we target restaurants, United States, and we target Nashville. And same thing as for OpenMart, we have access to an estimate of the number of results we are about to retrieve.

It's important to say that it's an estimate because once I click on export, Scrap.io, and I think the same thing for OpenMart, is going to re-scrape the data in order to make sure you have access to the most updated database possible.

The First Red Flag: Accuracy Issues with OpenMart

So at first glance we might say that Scrap.io offers us a tiny bit less leads than OpenMart. But is it really the case? I'm not sure. Because if we take a deeper look at our database, we can see that not every lead is located in Nashville. We have a lot of leads which are completely out of topic and as a matter of fact I don't see how I can correct it.

In other words, OpenMart requests are not 100% reliable. Maybe it can change if we target the leads based on an entire state. If I search by state, does it change something? And we have around 7,000 results. Same problem as before. Not all leads are located in Tennessee.

On Scrap.io, now we can scrape leads at the scale of a city, at the scale of a county, at the scale of a state, or at the scale of an entire country. As you can see, I've targeted restaurants in Tennessee in just a couple of clicks. And I can do the same thing for the entire United States.

A quick word regarding the order platforms. It's a useful data field. We can use that data field to filter our database a bit further. But in reality, only a few leads are actually using this column.

Testing OpenMart's AI Leads Finder Feature

What's next? We can also target new businesses. So, same thing as before, but we just say, okay, I want to target leads from that date to that date. We can also do that on Scrap.io, but not directly. Meaning once you export your CSV or Excel file, you have a timestamp column which shows you when we have found that specific business.

Now let's take a look at the second option: AI leads finder. So it's a similar thing as the map search. The only difference is that you are using AI to scrape leads as its name suggests.

So how does it work? Really simple. I can create a new search. I can say okay I target restaurants, business type filtering focus only on restaurants, exclude coffee shop and hotels, location Nashville. I said filter criteria let's say annual revenue less than $5 million, search on business website first let's keep it unchecked. I click on save and I click on search. Now we just need to wait for it.

Scrap.io's Superior Filtering System

In the meantime, let's complete our request on Scrap.io because something I forgotten to tell you is that on Scrap.io, you have access to a very broad range of filters. It's divided between essential filters and advanced ones. And to be honest, there are much more filters than on OpenMart.

For example, I want to target restaurants as a main activity only. Meaning no coffee shops, no hotels, no bars, just restaurants. Closed permanently: No. With let's say an email address and with a rating from 3 to 5. If I click on filter, here is my very segmented database.

Okay, let's come back to OpenMart in a few minutes. We have found 400 results. Okay, let's take a look at the first example. We have here the title. Here's the Google maps category. And here the address and here's the website. We have access to the tags. Probably these are the characteristics or the secondary categories. Maybe the description and the reasons.

And here is a bit of a problem: the annual revenue is pretty hard to come by.

Data Export Comparison: Quality vs Quantity

Let's come back to Scrap.io. Now once it's done, I can export my data. I give a name to my export and within the advanced options I can set up some settings if I want to: the columns to export, the exported lines limits. And the best part about it is that all the exports you have done so far are saved within the "my exports" tab and for each and every one of your exports you can download them in a CSV or Excel file. Or if the export is old or older than 30 days you can update them, meaning making the very same request with the very same filters in order to gather the newest businesses.

Let's take a look at what we have and let's try to do the same thing for OpenMart. So for each lead you have the choice to export them in the way that you transfer them from the general database to your list, to your leads list.

And here is a good and the bad thing with OpenMart. For example, you have access to company insights like the decision maker. That's super useful. But I've made a try with the decision maker email and I found nothing. It does make sense. Sometimes the info is just not available.

But anyway, now let's export our list. Very short list, but let's export it nonetheless. I click on export. I click on export. I click on export. Is it not working? Well, for some reason, I really cannot export my list. Maybe I'm doing something wrong.

But here are all the columns. You can retrieve company related data and people related data.

Scrap.io's Comprehensive Data Fields

Now let's compare it with Scrap.io which we were able to export with the Google ID, the name, the description, the main type and all types. So the main category and all secondary categories, the website, phone number, time zone, full address, latitude, longitude, owner ID, place ID, email address, social media links, Facebook, YouTube, Twitter, Instagram and LinkedIn.

First seen on - that's what we talked about. We have seen that Google maps page the 28th of August. The price range, reviews IDs, reviews count, photos count, occupancy, working hours, is claimed, characteristics.

SEO related data. So if the company has got a website of course, then in addition we have access to the title, the meta keywords, the meta description, the meta image, the meta generator, additional email addresses, contact pages. All contact pages are summarized within the "all contact pages" column. Same thing for social media links and we end up with website technologies and website ad pixels.

So that's quite a comprehensive data set. One last thing, please note that you have made a try with very small samples, but you can obviously make very large extractions if you want to. So here is an example and here is another one.

The Final Verdict: Why Scrap.io Comes Out on Top

To conclude, I think I found out what seems to be OpenMart's biggest weakness. It's an ambitious, promising scraper. No doubt about that. But many features are still in beta or feel confusing at first.

Sure, the order platform data field is a gem, but it's a niche feature. The enriched data helpful in theory, but hard to actually get. You can launch AI based searches. Was it truly helpful or just another flashy gimmick?

On the other hand, Scrap.io delivers a smoother experience. At least I think: clear data fields, tailored requests, a clean, easy to use interface.

With Scrap.io, our goal is simple. We aim to achieve more with less. That doesn't mean we are out of ideas for future updates. Thanks to our dedicated dev team, we will keep you in the loop. On our public roadmap, you can see which features are being discussed, which have been approved, and which are coming soon.

About Scrap.io: Launched in October 2021, Scrap.io has indexed over 200 million establishments worldwide and processes 5,000 requests per minute. The platform is the only solution that allows extracting all Google Maps listings across an entire country in just two clicks, without any coding required. With comprehensive GDPR compliance and real-time data extraction, Scrap.io serves agencies, entrepreneurs, and businesses across 195 countries with advanced filtering capabilities and professional API integration.

Scrap.io is not frozen in time. It's evolving. So, if you want to be part of this evolution, always remember, click the link in the description to get your first 100 leads completely free.

This is the end of the video. If you have enjoyed it, you can subscribe. There is nothing else to see. Bye.

Frequently Asked Questions

What is OpenMart and how does it work?

OpenMart is an AI-powered local business data intelligence platform that helps sales teams find qualified leads. It features three main components: Google Maps search, AI leads finder, and Shopify store data. The platform uses artificial intelligence to qualify leads based on criteria like annual revenue and location, though our testing showed mixed results in terms of accuracy and reliability.

Is OpenMart better than Scrap.io for Google Maps scraping?

Based on our comprehensive testing, Scrap.io outperforms OpenMart in several key areas. Scrap.io offers more precise geographic targeting, superior filtering options, comprehensive data extraction, and more reliable results. While OpenMart has interesting AI features, many seem to be in beta and feel incomplete compared to Scrap.io's polished, mature platform.

What are the main problems with OpenMart?

Our testing revealed several significant issues with OpenMart:

  • Inaccurate geographic targeting - searches for Nashville returned results from outside the target area
  • Inconsistent AI features - the AI leads finder often failed to provide promised data like decision-maker emails
  • Export functionality issues - we experienced problems exporting our lead lists
  • Beta-quality features - many tools felt unfinished or confusing to use

How accurate is OpenMart's location targeting compared to Scrap.io?

OpenMart showed concerning accuracy issues in our tests. When searching for restaurants in Nashville, Tennessee, we found many results that were completely outside the target geographic area. In contrast, Scrap.io demonstrated precise geographic targeting, allowing searches at city, county, state, or even country level with accurate results every time.

What data fields does OpenMart vs Scrap.io provide?

Scrap.io provides significantly more comprehensive data, including:

  • Complete contact information (emails, phone, social media)
  • SEO metadata and website technologies
  • Detailed Google Maps data (reviews, ratings, photos, hours)
  • Advanced business insights and owner information

OpenMart offers some unique fields like "order platforms" but often lacks the depth and reliability of data extraction that Scrap.io provides consistently.

Can OpenMart handle large-scale extractions?

While OpenMart claims to support large extractions, our testing focused on smaller samples due to the accuracy and export issues we encountered. Scrap.io demonstrated clear scalability, with examples of successful large-scale extractions (11,000+ businesses) and robust infrastructure designed for high-volume data processing.

Is OpenMart suitable for beginners?

OpenMart's interface can be confusing for beginners, especially with its AI features that don't always work as expected. Scrap.io offers a much more intuitive, beginner-friendly experience with clear filtering options, straightforward search parameters, and reliable export functionality that makes it accessible to users of all skill levels.

How does OpenMart's AI feature compare to traditional scraping?

OpenMart's AI leads finder is an interesting concept that allows natural language queries and revenue-based filtering. However, in practice, we found it often failed to deliver promised results (like decision-maker contact information) and sometimes felt more like a "flashy gimmick" than a truly helpful tool. Traditional scraping with advanced filters, like what Scrap.io offers, proved more reliable and produced better results.

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