A bot reads the web,
and finds me partners.
I loaded the list of nearly every website on the internet into a database. A bot scans 50,000 a day, finds the ones with an affiliate program, reads the payout and the highest price, and logs it. I just filter and pick the best ones to join.
I stopped hunting for programs and let a bot read the web.
Finding affiliate programs by hand has two problems. It takes ages, and you run out of ideas of what to even promote. So I built a bot that does the looking for me. I loaded the list of nearly every website on the internet into a database, and the bot now scans around 50,000 of them a day. It finds the ones with an affiliate program, reads the payout and the highest price on the pricing page, and logs it all. I just filter the list and pick. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who automated affiliate program finder is for
Anyone who earns affiliate commission and wants more programs to promote. Course creators, reviewers, newsletter writers, agency owners, and small teams who keep running out of products to recommend. Especially useful if you know the good money is in programs you have not found yet. If you make money recommending products, this finds the programs you would never have thought to look for.
What goes wrong without automated affiliate program finder
Searching for programs by hand is slow and the ideas dry up fast. You promote the same handful of products everyone else does, because those are the only ones you remember. The high-paying programs sit on sites you never visit. You are not limited by what pays well, you are limited by what you happened to find, and by hand that list stays small.
How the automated affiliate program finder automation works
I put the list of nearly every website into a database. A bot works through it, scanning around 50,000 sites a day. On each one it looks for signs of an affiliate program. When it finds one it reads the payout model, opens the pricing page, reads the highest price, and works out the biggest commission a sale could pay. Every result lands in my own database. The whole web gets read, the best programs get logged.
What automated affiliate program finder gives back each month
A searchable database of thousands of programs you can filter by keyword and sort by what they actually pay. You pick the strongest ones, join them, and start earning. The research never stops and never runs out of ideas. More programs found, ranked by real commission, so the partnerships you join are the ones worth joining.
By hand I ran out of time, and then I ran out of ideas.
For a long time my affiliate income was capped by something simple. I could only promote products I had heard of, and I could only check them as fast as I could click. Finding a new program meant remembering a product, opening its site, hunting for the affiliate page, reading the terms, and logging it somewhere. It was slow. So I checked a few products a week and promoted the same small handful for years.
The worse problem was running out of ideas. Once you have promoted the obvious tools in your niche, what is left? I would sit there trying to think of products to look up and come up empty. The whole internet was full of programs paying good commission, and I was limited to the dozen names I could remember. That is a tiny slice of what was actually out there.
So I built a bot to read the web for me. I found a way to download the list of nearly every website on the internet and loaded it into a database. From there the bot does the work. It scans around 50,000 sites a day, looking on each one for keywords that suggest an affiliate program, words like affiliate, partners, refer, or earn. When it finds the signs, it follows them to the real program page. I never think of a product to check again. The bot just works through the whole list.
When it finds a program, it reads the part that matters. The payout model first, so whether they pay a one-time fee per sale, a recurring percentage, or an amount per lead, plus the page where I apply. Then it does the clever bit. It opens the pricing page and reads the highest price listed. A program paying 50 percent is worth nothing if the product costs 10 dollars. The same 50 percent on a 5,000 dollar product is a real payday. So the bot calculates the biggest commission a sale could pay and stores it.
The numbers here are modest per program and honest. Most pay a small commission. But the bot never runs out of ideas and never gets tired, so the list keeps growing. I filter it by keyword and sort it by payout, then my team and I pick the strongest programs to join. Proof point: I document my income streams openly on YouTube, in my 28 Income Streams breakdown and my road to 10 million video, so the shape of this revenue is checkable, not a guess. The result of all this is that I am now an affiliate on more than 10,000 products.
Three moves that turn the whole web into a database of ranked programs
What made this work was treating program research as a job a bot should grind through, not a thing I should remember to do. The chore and the lack of ideas were the only things capping me. The framework hangs on three moves: scan every site for the signs of a program, read the payout and the top price on the ones that have it, and log it all in a database I can filter at will.
Scan the whole web, not your memory
The bot does not wait for me to think of a product. It works through a database holding the list of nearly every website on the internet, scanning around 50,000 of them a day. On each one it looks for the small signs of an affiliate program, the words a site uses when it pays people to refer customers. This is the move that kills the idea problem for good. I am no longer limited to the names I remember. The bot reads the parts of the web I would never have visited, and surfaces the programs hiding there.
Read the payout and the top price
Finding a program is only half the job. The bot reads how they pay, whether it is a one-time fee, a recurring percentage, or an amount per lead, and grabs the link where I apply. Then it opens the pricing page and reads the highest price listed. That is the part most people miss. A percentage means nothing without a price behind it. By capturing the top price, the bot can work out the biggest commission a single sale could pay, which is the number that actually decides whether a program is worth my time.
Log it all in a database you filter
Every result lands in my own database. The website, the payout model, the application link, and the maximum commission the bot calculated. Now the thousands of programs are mine to slice however I want. I filter by keyword to match a niche, sort by payout type to see only the recurring ones, or rank everything by the biggest commission. In a minute I have a shortlist of the best programs for whatever I am promoting. The research is done. The only work left is choosing and joining.
Once those three moves are in place, the web reads itself, the best programs rise to the top, and I pick from a ranked list instead of a faint memory. Scan, read, log, then choose.
Before the program finder
- I could only promote products I happened to remember
- Checking each one by hand took ages, so I checked very few
- I kept running out of ideas of what to even look up
- High-paying programs sat on sites I never visited
- I judged programs on a percentage with no price behind it
After the program finder
- A bot scans around 50,000 sites a day with no input from me
- It reads the payout and the top price on every program it finds
- It never runs out of ideas, because it reads the whole web
- Thousands of ranked programs sit in a database I can filter
- I pick the strongest ones and now run as an affiliate on 10,000+ products
Prompt 1: spot whether a site runs an affiliate program
The first job is deciding, for any given site, whether it is even worth a closer look. Use this prompt to have the bot read a page and judge if there are signs of an affiliate program, so it only digs into the ones that have one.
Affiliate program detector
You are an affiliate research assistant. I will give you the text and links from a single website. Decide whether this site runs an affiliate or partner program. Website content: [paste the page text and footer links]. Look for the signs a site uses when it pays people to refer customers: words like affiliate, partners, referral, refer a friend, ambassadors, or earn, usually in the footer, the help centre, or a dedicated page. If you find a clear sign, return the single word YES followed by the most likely link to the affiliate or partner page. If there is no sign of a program after checking the footer and any partner or help links, return the single word NO. Do not guess. Only answer YES when there is a real link or page that points to an affiliate program.
This is the filter that lets the bot work through 50,000 sites a day without wasting time. Most sites get a clean NO and the bot moves on. The YES ones get the full read.
Prompt 2: read the payout model off the program page
Once a program is found, the bot needs to read how it pays. Use this prompt to pull the payout model, the commission, and the application link into a few clean lines.
Payout model reader
You are an affiliate research assistant. I will give you the text of an affiliate program page. Read it and pull out the details that decide how this program pays. Program page content: [paste the page text or link]. Return these fields, each on its own line, in plain words. Payout model, one of: one-time per sale, recurring percentage, or amount per lead. Commission, for example 30 percent or 50 dollars per sale. Cookie window, for example 30 days, if stated. Application link, the page where someone signs up to join. If any field is not stated on the page, write not stated next to that field rather than guessing. Do not invent numbers. The point is an honest record, so a missing detail is fine but a made-up one is not.
This is the read that used to mean squinting at the small print on every site. The not stated rule keeps the database honest, so I never join a program on a number the bot invented.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind automations like this?
I teach the same mechanics that make this program finder work inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and find revenue they used to walk past. No coding required.
Week one: the bot starts reading, the database starts filling.
Most people expect a system like this to feel dramatic on day one. It does not, and that is the point. In the first week you do not become an affiliate on thousands of products. The first week is about proving the loop works. You point the bot at the list of websites, it scans the first batch, and real programs start landing in your database with their payout and their top price attached. That quiet first row is the whole thing working.
Week one looks like this. You load the list of sites and switch the bot on. It works through its first few thousand, sending most to a clean no and logging the ones with a program. By the end of the week you open your database and there are dozens of programs sitting there, each with a payout model and a calculated commission, none of which you had to find yourself. You filter by your niche and a shortlist appears. That is the machine earning its keep.
The point of the first week is not a big revenue number. The point is to prove the loop closes: the bot reads sites you never would have visited, logs the programs with their payout and top price, and hands you a database you can already filter. The finding has stopped being your job.
From there the maths is simple and quiet. The bot keeps scanning, the database keeps growing, and you keep picking the strongest programs to join. Each approved partnership pays a modest commission, but they recur and they stack. A few joined this month, a few more next month, all of them paying again the month after. A year of that compounding, on programs you would never have found by hand, is real money.
All of this runs while you build, travel, or rest. The bot does not care what time it is and it never runs out of products to check. It just keeps working through the web, and your database keeps getting richer. The only thing you ever do is open the list and pick.
Prompt 3: read the top price and estimate the commission
A payout percentage is useless without a price behind it. Use this prompt to have the bot read the pricing page, find the highest price, and work out the biggest commission a single sale could pay.
Top price and commission estimator
You are an affiliate research assistant. I will give you the text of a product's pricing page, plus the payout model and commission for its affiliate program. Pricing page content: [paste the pricing page text]. Payout model: [paste from Prompt 2]. Commission: [paste from Prompt 2]. First, find the highest price listed on the pricing page. Ignore add-ons and one-off fees if there is a clear main plan or product price, but if the most expensive option is a plan, use that. State the highest price you found. Second, using that price and the commission, estimate the biggest commission a single sale could pay. For a recurring percentage, estimate the first payment only and label it as recurring. Return three lines: highest price found, payout model, and estimated maximum commission per sale. If the pricing page shows no price, write price not stated and do not guess a commission.
This is the calculation that ranks the whole database. It is why I can sort thousands of programs by what they could actually earn me, instead of by a headline percentage that means nothing on its own.
Prompt 4: write the database row for each program found
The research is useless if it is scattered. Use this prompt to turn the findings into one clean row the bot can drop straight into my database, set up to filter and sort.
Database row writer
You are writing one clean record for my affiliate program database. Keep it to fixed fields so the whole database stays sortable. No commentary. Website: [paste the site]. Niche keyword: [paste one or two words for what this product is, for example email, design, hosting]. Payout model: [paste from Prompt 2]. Commission: [paste from Prompt 2]. Highest price found: [paste from Prompt 3]. Estimated maximum commission per sale: [paste from Prompt 3]. Application link: [paste from Prompt 2]. Return these seven fields as a single row, each value clearly labelled, in the same order every time. Do not add or remove fields. If a value is not stated, write not stated so the field is never left blank. The goal is that every row looks identical in shape, so I can filter by keyword and sort by estimated maximum commission across thousands of rows.
This is the row that makes the database usable. Because every record has the same shape, I can filter thousands of programs by niche and rank them by what they pay in a single sort.
How to build automated affiliate program finder, step by step
Load the list of websites into a database
The whole thing starts with the raw material: a big list of websites for the bot to work through. You do not need every site on earth, a large public list of domains in your niches is plenty to begin. Load it into a simple database or sheet, one row per site, with a status column the bot can update. This is the queue the bot pulls from. Once it is in place, the bot always has somewhere to look next, and you never have to think of a product to check again.
Set the bot to scan a daily batch
Now wire a cloud automation in n8n, Make, or Zapier that pulls a batch of sites from the queue every day and visits each one. Set the batch size to whatever your tools handle comfortably, then leave it running. The automation marks each site as checked so it never repeats one. This is the engine that turns a static list into 50,000 reads a day. You set it up once, and after that the scanning just happens on its own, through the night, while you do other things.
Detect which sites run an affiliate program
For each site in the batch, the bot reads the page and decides if there are signs of an affiliate program. Use the affiliate program detector prompt to drive this. The bot looks for the footer words and partner links that give it away. Most sites get a clean no and are marked done. The ones with a program get flagged for a closer read, along with the link to the program page. This filter is what lets the bot grind through huge numbers without wasting effort on sites that have nothing to offer.
Read the payout, then the top price
On a site that has a program, the bot does the two reads that matter. First it reads the program page for the payout model, the commission, and the application link, using the payout model reader prompt. Then it opens the pricing page and reads the highest price, using the top price and commission estimator prompt. That second read is the one most people skip. It is what lets the bot work out the biggest commission a sale could pay, so a high percentage on a cheap product never tricks you into thinking it is worth more than it is.
Write a clean row into your database
Now the bot turns everything it read into one fixed-shape record and saves it. Use the database row writer prompt so every row looks identical: website, niche keyword, payout model, commission, highest price, estimated maximum commission, and the application link. Sameness is the whole trick here. Because every row has the same fields in the same order, thousands of them stay sortable. A messy database is just a pile. A consistent one is a tool you can filter and rank in seconds.
Filter, pick the best, and join them
The last step is the one you do yourself, and it is the fun part. Open the database, filter by the keyword that matches what you are promoting, and sort by the maximum commission the bot calculated. The strongest programs rise to the top. You and your team look at the shortlist, make an informed choice about which to prioritise, then go and sign up. From there you simply start sending sales. The hard research is already done, so all that is left is choosing well and joining.
Web list loaded
The list of nearly every website goes into a database, one row per site, as the bot’s queue.
Bot scans daily
The automation reads around 50,000 sites a day, spotting the ones that run an affiliate program.
Payout and price read
On each program it reads the payout model and the top price, then works out the real commission.
Filter, pick, join
Every program lands in a sortable database. You filter, pick the best, sign up, and start earning.
Build this program finder inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind bots like this one. Step by step, no code, plain English. Find the affiliate revenue you keep walking past, without ever doing the digging yourself.
The six months after I switched it on
Here is the shape of the first six months after I let the bot start reading the web. The line ramps up modestly, because programs take time to find, then approve, then a few weeks more to start paying, after which the recurring commissions begin to stack.
Monthly affiliate commission from programs found this way, after switching on
Three things matter on this chart. The line keeps climbing because each new partnership adds to the last instead of replacing it. The commission recurs, so a program found in month one is still paying in month six. And every dollar of it came from programs I would never have found if I were still searching by hand.
What other students built with automated affiliate program finder
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I always promoted the same five tools because they were the only ones I could think of. The bot found me forty programs in my niche in a week. I joined the eight best ones.”
“The top-price reading is the part I did not see coming. I had been chasing high percentages on cheap products. Now I sort by what a sale is actually worth, and the picture is completely different.”
“I let it run on a list of sites in my niche overnight. By morning I had a database I could filter. I stopped guessing which programs to promote and started picking by the numbers.”
“What surprised me was how many programs were just sitting out there. I was leaving real recurring money on the table because finding them used to feel impossible.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that read, research, and report while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The program finder: common questions
Pulled from what readers and Automations Made Easy students ask most.
How does the bot find affiliate programs on its own?
I started by downloading the list of nearly every website on the internet and loading it into a database. The bot then works through that list, scanning around 50,000 sites a day. On each one it looks for the small signs that a site runs an affiliate program, words like affiliate, partners, refer, or earn, usually tucked in the footer or the help pages. When it spots those signs, it follows them to the actual program page. So I am not searching one product at a time. The bot is quietly working through the whole web for me, day after day, and surfacing only the sites that have something worth joining.
What does the bot record for each program it finds?
For every program it finds, the bot logs the website, the payout model, and the link to the page where I apply. The payout model means whether they pay a one-time fee per sale, a recurring percentage, or a flat amount per lead. Then it does the clever part. It opens the pricing page and reads the highest price listed there. That matters because fifty percent of a five thousand dollar product is worth far more than fifty percent of a ten dollar one. So the bot calculates the biggest commission I could realistically earn and stores that next to everything else. Each row tells me what the program pays and how much that is actually worth.
Why does the bot read the pricing page as well as the payout?
Because a percentage on its own tells me nothing. A program paying fifty percent sounds great until you learn the product costs ten dollars. Another paying twenty percent on a five thousand dollar product is worth far more per sale. So the bot finds the pricing page, reads the most expensive price on it, and uses that to estimate the maximum commission a single sale could pay. That one number changes which programs I prioritise. It lets me sort thousands of programs by what they could actually earn me, not by a headline percentage that means nothing without the price behind it.
How do I actually use the database once it is built?
The database is mine to filter. I can search by keyword to find programs in a niche I am writing about. I can sort by payout type to see only the recurring ones, or only the high one-time payouts. I can rank everything by the maximum commission the bot calculated. In a minute I can pull up a shortlist of the best programs for whatever I am promoting. My team and I then make an informed choice about which to prioritise, sign up, and start sending sales to. The hard research is already done, so the only work left is choosing and joining.
How is this different from searching for affiliate programs by hand?
By hand I was limited by two things. Time, because checking each site took ages, and ideas, because I kept running out of products to even think of promoting. This bot removes both. It never runs out of ideas because it works through the whole internet, not the handful of names I happen to remember. It never gets tired, so it checks fifty thousand sites a day without complaint. And it does the boring reading for me, the payout, the model, the top price. I went from a short list I built slowly to a database of thousands I just filter and pick from.
How does finding more programs turn into more money?
Most affiliate income comes from programs you never knew existed. When you find them by hand you join a handful. When a bot finds thousands and ranks them by real commission, you join the best ones instead of the ones you happened to remember. Each approved program can pay for months, and they stack on top of each other. A few strong partnerships joined each month, each earning quietly, adds up over a year. I am now an affiliate on more than ten thousand products because the finding stopped being a chore. I document my income streams openly on YouTube so the shape of this is checkable, not a guess.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Run this program finder yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through how to point this at your own list of sites first, I take a small number of consulting clients each month.
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