You find a tutorial, copy the steps, and an hour later nothing works. The sign-up page looks different. The address in the guide returns an error. The free plan the author promised does not exist.
That is what an outdated API tutorial looks like, and almost every developer has lost an afternoon to one.
We know because we found the same problem in our own posts. Last week we re-read our blog against the official documentation, line by line, and a lot of what we had written was wrong or stale. This guide shows you how to spot the problem in seconds, and what we found in our own posts.
Why tutorials go stale so fast#
An API is not a fixed thing like a book. It is a service that a company runs, and companies change them all the time.
- Prices and free plans change. A plan that was free last spring may now need a card or no longer exist.
- Limits change. A service that allowed 1,000 calls an hour may now allow fewer, or charge for extra.
- Sign-up rules change. Some services close to new developers, or move to "partners only".
- Names and versions change. Old versions get a shutdown date, and new ones get new names.
- Whole services close. The shutdown is announced in a changelog, not in the tutorials that depend on it.
Meanwhile a tutorial is written once. Nobody is paid to go back and re-check it, so it keeps ranking in Google and keeps misleading people long after it stopped being true.
7 quick checks before you follow any API tutorial#
You can do all seven in about five minutes. Do them before you write any code.
- Open the official docs next to the tutorial. Look at the base address, the authentication method and the first example. If they differ from the tutorial, trust the docs.
- Find the changelog or "what's new" page. Anything announced as removed or deprecated since the tutorial's date is a warning sign.
- Check the pricing page today. Do not trust "free" or "no credit card needed" from a blog post. Providers change this, and many tutorial authors never test it.
- Look up the rate limit. If the tutorial gives a number, confirm it in the docs. A wrong limit is the most common reason code works for an hour and then fails.
- Check who can sign up. Some APIs are open to anyone, some need approval, and some are only for partners. Public documentation does not always mean public access.
- Look for a "last checked" date. A good tutorial says what it verified and when. A bare publish date does not tell you that.
- Read the comments and issues. If three people say "this no longer works", believe them.
If a tutorial fails any of these, you have not lost anything. You have saved the afternoon.
5 mistakes we found in our own tutorials#
We would rather tell you than hide it. Here is what the check turned up, verified against official sources on 15 October 2026.
1. A tutorial described an API that did not match its docs#
Our guide to one helpdesk tool's API listed endpoints, a base address, a rate limit and "webhooks" that its official documentation did not back up. We rewrote it from the docs only. The documented limits are 1 request per second and 5,000 per day, and the docs do not mention webhooks at all, so the post now says that plainly. You can read the corrected version in our Hiver API tutorial.
2. We recommended a provider that had closed to new developers#
A flights post still pointed readers to a travel API whose self-service sign-up closed to new developers on 17 July 2026. Anyone following it would have hit a wall on step one. The fixed version is in our Google Flights API guide.
3. "Free, no credit card needed"#
We had written this promise in three posts and could not prove it on the day we checked. We removed it. If you cannot verify a promise, do not make it on someone else's behalf.
4. "Official API" does not always mean "open to you"#
One travel provider publishes its documentation openly, but its APIs are only for approved partners. Our post blurred the two. Public docs and public access are different things, and the difference decides whether you can build anything. We explain it in the Skyscanner API tutorial.
5. The model you picked last year may already be gone#
Image generation moves fastest. DALL-E 2 and 3 were shut down on 12 May 2026, and another image model is scheduled to stop on 23 October 2026. Plenty of tutorials and sample projects still call them. Our updated list is in Best AI Image Generation APIs.
Red flags you can spot without any code#
Some warning signs are visible from the first screen of a tutorial:
- No date, or only a publish date. Nothing says when the facts were last checked.
- "Works in all versions". APIs have versions, and a tutorial that ignores them was probably not tested.
- Screenshots of a sign-up page that no longer looks like that. Compare it to the live page.
- Prices written as a promise ("completely free forever") with no link to the pricing page.
- A rate limit with no source. Any number you cannot trace to the docs is a guess.
- Code copied from a forum answer with no explanation of what each line does.
- No mention of errors. A tutorial that only shows the happy path usually was not run against real limits.
One red flag does not make a tutorial useless. Three or more means treat it as a rough idea and rebuild the details from the official docs.
How to read a changelog in two minutes#
Most developers never open the changelog, and it is the single best place to find out what changed. You do not need to read all of it.
- Find it. Look for "Changelog", "Release notes", "What's new" or "Deprecations" in the docs menu, or search the provider's name plus "changelog".
- Jump to the date of your tutorial. Read only what happened after it.
- Search the page for three words: "deprecated", "removed" and "sunset". Those are the ones that break your code.
- Note any dates in the future. A feature that still works today but is scheduled to stop next month is a trap.
- Check the status page if something suddenly fails. It tells you whether the problem is yours or theirs.
If a provider has no changelog at all, that tells you something too. Plan for more surprises, and re-check the docs before each release of your own app.
A worked example: checking one claim#
Say a tutorial tells you: "This API is free, no credit card needed, and allows 1,000 requests an hour."
Here is how you would check it in under five minutes:
- Open the provider's pricing page. Is there a free plan today? Does sign-up ask for a card?
- Open the rate limit section of the docs. Does it say 1,000 an hour, or something else?
- Open the changelog and search for "rate" and "pricing". Did either change after the tutorial's date?
- Sign up and make one real call. The first response often reveals what the docs and the tutorial both miss.
If all four match, follow the tutorial with confidence. If one differs, you found the problem before it found you.
What a trustworthy tutorial looks like#
After the clean-up we set simple rules for every post we publish. You can use them to judge any guide:
- Every number has a source and a "checked on" date.
- Gaps are admitted. If the docs do not say something, the post says "the docs do not say" instead of guessing.
- It links to the official page, so you can check it yourself.
- It is re-checked on a schedule, because tutorials do not break loudly. They go stale quietly.
- It separates what the author tested from what they only read.
If you are writing tutorials of your own, copy those rules. If you are reading, look for them.
When you are the one who got burned#
Nobody wins from being angry at a stale guide, but two small habits help:
- Tell the author. A short, polite comment ("this stopped working on this date, the new address is here") fixes the post for the next person.
- Keep the official docs open in a second tab while you work. It is the cheapest insurance there is.
For the design side of things, see our guide to API design principles, which explains why clear limits, versioning and honest errors make an API easier to trust in the first place.