5+ Best Phone Number Extractor Tools of 2024 [No-Code]

Collecting phone numbers in an Excel sheet manually is super frustrating and time-consuming.

When you're collecting phone numbers on a small scale, it’s still manageable.

But what about when you need to extract thousands? Clearly, there’s a need for a better solution.

So in this guide, I’ll show you 5 best phone number extractors that work well for different use cases.

For easy access, here is the list:

1. Regex based phone number extraction tools
2. Phone number extractor Chrome extensions
3. Lobstr.io (the ultimate solution)

But for the newbies, let’s first understand what a phone number extractor is.

What is a phone number extractor?

A phone number extractor is a tool that automatically scans websites, documents, or online directories to find and collect phone numbers.

Instead of manually searching and copying each number, this tool does the hard work for you, saving time and effort.

But why do we need one?

Why use a phone number extractor?

Well I’ve already answered it in the definition – it saves you a lot of time and removes manual effort.

But since my articles mostly focus on B2B, here are some B2B use cases of a phone number extractor.

1. Collect phone numbers of potential business clients for outreach
2. Gather supplier contact details for communication
3. Find contact numbers of potential partners for collaboration

Confusing? Here’s an example use of a data extraction tool.

But the million dollar question is — there are plenty of phone number extraction tools available on the internet, which one is best for me?

Which phone number extractor tool is good for me?

1. Regex based phone number extraction tools
2. Phone number extractor Chrome extensions

Both have different use cases. Let’s learn where they work best.

Regex based phone number extraction tools

They’re great if you need to pull phone numbers from structured text, like a list or formatted document.

But which one to choose?

I tried many regex-based phone number extractors but most of them were full of ads and didn't work properly.

Here are my 3 favorite regex based phone number extractors that actually worked and you can try for free.

1. LamdaTest
2. PhraseFix
3. ConvertCSV

1. LamdaTest

The reason I liked it is its simplicity. You simply paste a string, click “Extract” and download the extracted phone numbers as a text file.

There are no annoying ads, pop-ups, or any other distraction, which makes it a good solution.

2. PhraseFix

It works just like LamdaTest. You copy the string and get the numbers, and download them as a text file.

But it doesn’t have any filters and you can only extract US-based numbers using this tool as it doesn’t support international format.

3. ConvertCSV

The best thing about this phone number extractor is that you can upload a file or add a URL instead of copy-pasting strings.

You can also use filters and advanced options to modify number formats, separator, header etc.

But the problem with this tool is annoying pop-up ads. Ads are so misplaced and so annoying that they sometimes frustrate you.

Another issue is that its URL feature doesn’t always work. It can’t extract phone numbers from all web pages.

Overall, these 3 tools are great for extracting phone numbers from rich document files and text inputs.

But what if you want to collect phone numbers from a web page or a business directory?

That’s where the Chrome extensions help.

Phone number extractor Chrome extensions

These Chrome extensions scan web pages to find and collect phone numbers directly from the content displayed. They’re quick to install and easy to use.

I tried a few Chrome extensions and the following 2 seem to work well and are super easy to use.

1. Phone Number Extractor
2. Email & Phone Number Extractor

1. Phone Number Extractor

It’s super easy to use. You just have to install it from the Chrome Web Store, visit the webpage from where you want to extract phone numbers and launch the extension.

You can either copy or directly export the extracted data to CSV or XLXs formats easily.

But what if I want to extract emails too?

2. Email & Phone Number Extractor

The process is similar to the first one, visit the web page and launch the extension.

I tried it on another local business directory and it did a good job.

The problem is, you have to manually copy the phone numbers and emails. It doesn’t support exporting data to CSV or any other format.

But do they work on platforms like Google Maps?

After reading their reviews and seeing the screenshots, I was super excited to try them on Google Maps.

So I used both chrome extensions on Google Maps.

But I was extremely disappointed when both tools turned out to be as useless as Zeus in Thor: Love and Thunder.

To extract numbers, you have to open each business listing one by one, click the extension, and then copy the phone number. Seriously? 😣

Apparently, copying it straight from Google Maps was just too easy. Let’s add pointless clicks and hoops to jump through—brilliant! 👏

So turns out, none of the above tools is good for lead generation at scale.

You can’t use them on Maps or Social Media platforms because they’ll increase the manual effort instead of making your life easy.

But I still need a solution to extract contact information (phone number, email, and address) from Google Maps and social media.

Is there any tool that can extract all this data fast and on auto-pilot?

Lobstr.io can solve this problem for you.

Lobstr.io – The best phone number and email extraction tool

You can use Lobstr.io’s scrapers tailored for lead generation to collect all vital details like phone numbers, emails, social links, websites, and addresses.

But why Lobstr.io?

1. It’s Cloud-based, no installation required
2. Extracts data at scale
3. Offers business email extractor
4. It’s super fast
5. Supports scheduling for automated data collection
6. Automatically exports data to Google Sheets, Amazon S3
7. Offers an API for developers

Let’s learn how to extract phone numbers using Lobstr.io.

How to use Lobstr.io as a phone number extractor?

With Lobstr.io, you can collect phone numbers from various business directories and social media in 5 simple steps.

1. Choose your Squid
2. Specify input
3. Adjust behavior
4. Launch
5. Enjoy

Let’s have a quick look at each step.

1. Choose your Squid

You can use Lobstr.io to extract phone numbers and emails of businesses from Google Maps, Facebook, LinkedIn, Yelp, and TripAdvisor.

Don’t have an account yet? You can create one absolutely free.

2. Specify input

There are 2 ways to add an input to your Google Maps scraper.

1. Add URLs
2. Use parameters

1. Go to Google Maps
2. Search a query
3. Copy the URL
4. Paste it in Add tasks

But my favorite method is using parameters.

Using parameters feature is faster and I can target specific cities, zip codes, counties without spending time zooming in and out on Google Maps.

1. Toggle the Use params button
2. Specify activity, country, and region
3. Click Add tasks to confirm input

That’s it. Instead of manually copying the URL of each city or location, I just selected 691 cities of New Jersey in a few clicks.

You can also choose specific cities and even zip codes in every city.

3. Adjust behavior

Here, you can also filter results by average rating and language. You can also choose to collect images and additional details.

But since it's irrelevant to our current goal, let’s save the settings and move on.

4. Launch

Now it’s time to launch. You can either launch the scraper instantly or schedule it to launch automatically.

The scraper will automatically run on the time you provided daily or weekly.

5. Enjoy

Once launched, the scraper starts collecting data at lightning speed. You can view it live in the real-time console.

Once done, you can download the data as a CSV file or export it directly to Google Sheets or Amazon S3.

And that’s it. This is how you can use Lobstr.io as your all in one phone number and email extractor.

Conclusion

That’s a wrap on the best phone number extractor tools. All the tools I shared are personally tried and tested for different use cases.