When multiple LinkedIn scrapers all return empty results, the problem is likely the input, not the tools. Seven Apify scrapers returned nothing for 45 minutes because the LinkedIn username had a hyphen (alex-dobrenko) that was omitted (alexdobrenko). Most scrapers return silent failures (empty arrays, no error message) for non-existent profiles. The debugging principle: when N different tools fail the same way, verify the input against the actual source before blaming the infrastructure.
Seven different LinkedIn scrapers. Zero results from all of them. Forty-five minutes of API calls. The fix was one character.
This is a story about silent failures and what they tell you about where to look.
What is scraping, and what is an API?
Quick definitions if you’re new to this:
Scraping is extracting data from a website automatically, usually because the site doesn’t offer a clean way to export it. Instead of manually copying 50 LinkedIn posts, a scraper visits the page and pulls the content for you.
An API (Application Programming Interface) is a way for one program to talk to another. When you use a scraper tool, you’re typically calling its API: you send it a request (like “fetch the last 10 posts from this LinkedIn profile”), and it sends back data (or nothing, if something goes wrong).
Apify is a cloud platform for running scrapers. It hosts hundreds of pre-built scraper tools called “actors” that other developers have built. You send Apify a request, it runs the scraper in the cloud, and returns results. It’s a marketplace of web automation.
The problem
The goal was to pull recent posts from a LinkedIn profile using the handle alexdobrenko. Seven different Apify actors were tried, across a span of 45 minutes:
harvestapireturned empty resultscurious_coderhit an expired trialsupreme_codercomplained about wrong input formatanchorsaid “not found”- Others returned: “The profile is hidden or private” or “Could not extract URN from profile”
The natural conclusion: LinkedIn’s anti-scraping defenses are blocking everything, or all these tools are broken, or Apify is having an outage. You start blaming the infrastructure.
What a silent failure looks like
Most of these tools didn’t throw an error. They returned an empty array: [].
That’s a silent failure: the tool ran, completed normally, and handed back nothing. No error message. No red text. No indication that anything went wrong. Just… empty.
Silent failures are the worst kind to debug because they look like success. The code ran. The API responded. You just got zero results, and you have no idea why.
When you get an error message, you have a starting point. When you get silence, you’re left guessing.
The fix
An agent finally checked the actual LinkedIn URL: linkedin.com/in/alex-dobrenko.
There’s a hyphen in there. The username is alex-dobrenko, not alexdobrenko.
One character. That’s all it was.
Every single one of those seven tools was looking for a profile that didn’t exist. When you pass a non-existent username to a LinkedIn scraper, it doesn’t say “hey, that profile doesn’t exist.” It just returns nothing. The profile is hidden or private. Could not extract URN. Empty array. All of those errors were downstream symptoms of the same root cause: the input was wrong from the start.
The total cost of the working API call once the correct username was used: $0.05 for 10 posts. Cost of finding the hyphen: 45 minutes.
The debugging principle this teaches
When N different tools all fail in the same way, stop blaming the tools.
If one scraper returns empty results, that scraper might be broken. If seven scrapers all return empty results, you almost certainly have an input problem.
The tools are not all broken. They share something in common: your input. When everything fails the same way, the failure is probably upstream of all of them.
The checklist:
- Verify your input against the actual source. Don’t assume you have the right username, URL, or ID. Go check. Open the page. Copy the identifier directly from the URL bar.
- Distinguish between “the tool failed” and “the tool got bad input.” These look identical from the outside.
- When you see consistent silent failures across multiple tools, look at what’s shared between them. That’s where the bug is.
The instinct when things break is to try a different tool. Sometimes that’s right. But if the same input goes into the new tool, you’ll get the same silence back.
For the workflow that uses the scraped data, see How to Ghostwrite LinkedIn Posts.
Further reading
- Apify documentation for how actors work and how to read their input/output schemas
- LinkedIn profile URL structure for how LinkedIn usernames and custom URLs actually work
- Rubber duck debugging for the general principle of explaining your problem out loud before assuming the tools are wrong
- Falsehoods programmers believe about usernames for a broader look at why simple strings are harder than they look
Common Questions
Why do LinkedIn scrapers return empty results?
The most common cause is a wrong profile URL or username. LinkedIn scrapers typically return empty arrays or vague errors like “profile is hidden” for non-existent profiles. Before troubleshooting the scraper, copy the exact username from the LinkedIn URL bar.
What is a silent failure in web scraping?
A silent failure is when a tool runs, completes normally, and returns empty results with no error message. The scraper appears to succeed but returns no data. Silent failures are harder to debug than errors because there is no starting point for diagnosis.
What is Apify and how does it work?
Apify is a cloud platform that runs pre-built web scrapers called “actors.” You send a request with parameters (like a LinkedIn profile URL), Apify runs the scraper in the cloud, and returns structured data. You pay based on compute usage. Different actors are maintained by different developers.
How do I debug when all scrapers fail?
When multiple tools fail the same way, stop blaming the tools. They share one thing in common: your input. Verify the input against the actual source. Copy identifiers directly from the URL bar. Distinguish between “the tool failed” and “the tool got bad input.”
A note from Alex: hi i’m alex - i run code for creatives. i’m a writer so i feel that it is important to say - i had claude write this piece based on my ideas and ramblings, voice notes, and teachings. the concepts were mine but the words themselves aren’t. i want to say that because its important for me to distinguish, as a writer, what is written ‘by me’ and what’s not. maybe that idea will seem insane and antiquated in a year, i’m not sure, but for now it helps me feel okay about putting stuff out there like this that a) i know is helpful and b) is not MY voice but exists within the umbrella of my business and work. If you have any thoughts or musings on this, i’d genuinely love to hear them - its an open question, all of this stuff, and my guess is as good as yours.