Last Updated on September 2, 2026 by Click Raven
If you’ve been doing affiliate marketing for more than a few months, you already know the hard part isn’t writing content. It’s figuring out what to write about that actually has demand behind it, without every other site in your niche already covering it to death.
I ran into this wall a lot early on. I’d pick a niche, write a bunch of “best of” posts, and then realize I had no real sense of whether people in that space were actually searching, buying, or paying attention. I was guessing, and guessing is expensive when you’re spending hours on content that might go nowhere.
What changed things for me was looking at local business data. Not spreadsheets from some paid research tool, but the kind of information sitting right there in Google Maps: how many businesses exist in a category, how they’re rated, and which areas are saturated versus wide open. It sounds simple, but it’s one of the most underused research methods in affiliate marketing.
Let me walk you through how I think about it.
Why Local Business Data Matters for Affiliate Marketers
Most affiliate marketers live in keyword tools. Search volume, competition score, CPC, all the usual metrics. Those are useful, but they only tell you what people are typing into Google. They don’t tell you what’s actually happening on the ground.
Local business data fills that gap. If you’re looking at a niche like home cleaning, pest control, or moving services, Google Maps shows you the real supply side: how many businesses are competing in a given city, how established they are, and how happy customers seem to be with them.
That matters in a direct way. If a market has a handful of businesses with mediocre reviews and thin online presence, that’s a signal there’s room for a well-built comparison page, a directory, or a lead gen play. If a market is packed with five-star, thousand-review businesses, that tells you something different: demand is strong, but so is the bar to compete.
What You Can Actually Learn from Google Maps Listings
Ratings and Review Counts Show Real Demand
A business with thousands of reviews and a strong rating isn’t just popular. It’s a sign that an entire category of consumers is actively searching, comparing, and choosing between options. That’s exactly the kind of behavior affiliate content thrives on.
On the flip side, if a category has very few reviewed businesses in an area, it might mean the market is small, or it might mean nobody has built a good online presence yet, which can be an opening for a local content site.
Business Categories Reveal Niche Opportunities
Google Maps sorts businesses into fairly specific categories. Compare categories across multiple cities and patterns show up fast. Maybe pressure washing is everywhere in the Southeast but sparse in the Midwest. Maybe mobile dog grooming is booming in mid-sized suburbs but ignored in most affiliate content.
These patterns are hard to spot from keyword tools alone, since search volume gets aggregated at a national level. Local listings give you the on-the-ground picture instead.
Location Data Helps You Go Hyper-Local
One of the most reliable affiliate strategies right now is location-specific content: “best plumbers in Austin,” “top-rated movers in Denver,” that kind of thing. It works because local searches convert well and competition is often lower than broad national terms. But to do it properly, you need real data on which cities have enough businesses, and enough demand, to justify a page. Guessing city by city wastes time.
The Problem with Doing This by Hand
Here’s where things get tedious. If you’ve ever tried manually going through Google Maps, city by city, category by category, and recording ratings, review counts, and business details into a spreadsheet, you know how slow that gets. A single niche across even 20 cities can mean hundreds of manual searches.
Google doesn’t make this easy either. The map interface isn’t built for bulk research, and if you try to automate it with basic scripts, you’ll run into blocking pretty fast. Google actively protects this data from casual scraping.
How Tools Like Scrape.do Make This Easier
This is where a proper scraping setup earns its keep. Instead of manually clicking through hundreds of map listings, you can pull structured business data at scale: names, ratings, review counts, categories, and addresses, all in one pass.
I’ve used Scrape.do’s approach to scrape Google Maps to speed this exact process up. Rather than getting blocked or CAPTCHA’d every few requests, the requests route through infrastructure designed to handle Google’s anti-bot protections, so you can pull listing data across dozens of cities without babysitting the process.
For affiliate marketers, that means research that used to take a weekend can happen in an afternoon. You get a real dataset to work from instead of a gut feeling.
Turning This Data into Affiliate Content
Once you’ve got the data, the real work starts: turning it into something useful for readers, and something that earns you commissions.
Local “Best Of” Roundups
Once you know which cities have enough rated businesses in a category, you can build genuinely useful “best in [city]” pages instead of thin, templated ones. Readers can tell the difference, and so can Google.
Comparison Pages
If a niche has several well-reviewed competitors, a straightforward comparison page (pricing ranges, service areas, what customers mention most in reviews) tends to perform well. It answers the exact question someone has right before they’re ready to choose, which is exactly where affiliate content earns its keep.
Lead Gen Affiliate Offers
Plenty of local service categories, think home services, legal, insurance, run affiliate or referral programs built around lead generation rather than product sales. Local business data helps you figure out which markets are underserved enough that a lead gen page could actually convert, instead of competing against ten established directories in an oversaturated city.
A Few Things to Keep in Mind
Before you build a scraping pipeline and start pulling data everywhere, a couple of practical notes.
First, treat listing data as research input rather than publishable content. Aggregate patterns like category density, rating spread and review volume are what make your content better.
Copying raw listings onto a page does not. It also produces exactly the thin, templated directory content that stopped ranking years ago, so the restraint is a quality decision before it is anything else.
Second, data alone doesn’t write good content. Ratings and review counts tell you where demand and gaps exist, but you still need to visit these businesses’ sites, understand what makes them different, and write something a reader finds genuinely helpful. The data points you toward the right topics; it doesn’t replace the writing.
Conclusion
Affiliate marketing rewards people who do research nobody else bothers to do. Most people still pick niches based on keyword volume alone, which means everyone ends up fighting over the same handful of topics. Local business data, particularly what’s available through Google Maps listings, gives you a different lens: real signals about demand, competition, and gaps that keyword tools miss entirely.
You don’t need to become a developer to use this. You just need a reliable way to pull the data at scale, and a willingness to dig through it instead of guessing. Start small, pick one niche, pull listing data for a handful of cities, and see what patterns show up. You might be surprised how many opportunities were sitting there the whole time.
FAQs
Do I need coding experience to pull Google Maps business data? Not necessarily. Managed tools and APIs can handle the technical scraping process for you, returning structured data without requiring you to write your own scripts. Technical comfort helps if you want more control, but it’s not a strict requirement to get started.
Is scraping Google Maps data legal? Web scraping exists in a legal gray area that varies by jurisdiction and use case. Google’s terms of service place restrictions on large-scale automated data collection from Maps. It’s worth using this kind of data for research and insight rather than republishing it wholesale, and checking current guidance if you’re scaling this up significantly.
How much local business data do I actually need before building content? It depends on the niche, but even a modest sample, say 15 to 20 businesses across a handful of comparable cities, is usually enough to spot patterns in demand, competition, and review quality. You don’t need thousands of data points to make an informed decision.
Can this approach work for niches outside home services? Yes. While home services (cleaning, plumbing, pest control) are common examples, the same approach applies to any local business category with a Maps presence: fitness studios, salons, auto repair, professional services, and more. The core idea, using real listing data instead of guesswork, transfers across niches.