Selection Guide for Non-Technical Personnel: Apify's Complexity vs. Novada's "Out-of-the-Box" Experience

It was 5:00 PM on a Friday. The notification sound for a "Special Follow" on DingTalk felt like a drill boring into my temples.

It was the boss.

"Xiao Ming, take care of this. Organize 20 major competitors, their core pricing from the official websites, and a list of features. Put it in a table for the meeting on Monday morning."

I stared at those few lines on the screen, feeling the air in the office being sucked dry. Twenty competitors—the structure, design, and copy of each website were worlds apart. This meant my next 48 hours would consist of endless scrolling, clicking, copying, and pasting.

My weekend was gone.

Initially, I naively thought it was just manual labor.

I opened the first competitor's site, found the pricing page, copied, and pasted it into Excel. Found the feature intro, copied, and pasted. Not too bad.

The second site hid its pricing inside a window that required three clicks to pop up.

The third site displayed its feature list as a giant image; the text couldn't be copied at all. I had to use WeChat screenshots and type it out into the table character by character.

By the fifth site, I completely broke down. Its pricing system was as complex as a calculus problem, divided into Basic, Professional, and Enterprise versions, with both pay-as-you-go and annual billing modes under each. Staring at the screen, I felt like I wasn't doing competitive analysis; I was doing archaeology.

That weekend, my workstation was my entire world. The white light from the screen made the corner look like an interrogation room. Takeout boxes piled up beside me like a small mountain. The Ctrl+C and Ctrl+V keys felt like they had developed permanent indentations from my muscle memory.

Worse was the chaos of the data. Some prices were in USD, some had "Starting from" suffixes, and some simply said "Contact Sales." Feature descriptions were a mess of varying lengths. My Excel sheet looked like a randomly scribbled draft; every cell was a tiny disaster.

Monday morning, with dark circles under my eyes, I handed in the spreadsheet I thought was a product of blood and sweat.

During the meeting, the boss's face darkened inch by inch.

"Xiao Ming, Company A updated its prices last week; your data is old. You missed this core feature for Company B. And Company C—what happened to the formatting? Everything is misaligned."

I was speechless. How could I have known they updated last week? That feature was buried under a third-level menu; I really couldn't find it. As for the formatting, I did my best.

That was the darkest day since I joined the company. I felt like a joke—I had given it my all, yet the result was worthless.

I wasn't satisfied. I felt the problem wasn't me, but the method. I swore I would never do it manually again.

I started searching frantically and learned a new term: Web Scraper. Supposedly, this thing could automatically crawl web data and solve everything once and for all. In various tech forums, one name was mentioned repeatedly: Apify. It sounded professional and powerful.

I grabbed it like a lifeline and registered an account immediately.

When I opened Apify's dashboard, I was full of confidence. However, the next second, I was hit with a bucket of cold water.

The screen was filled with "Actors," "Proxies," and "Input schemas." I knew each word, but together they looked like the minutes of an alien meeting. I clicked on a beginner's tutorial video, and the host was typing characters I didn't understand into a black code window in fluent English.

It felt like someone wanting a full banquet but receiving a pile of raw seafood, high-end cookware, and a Michelin kitchen manual instead. I knew these things were top-tier, but I had no idea how to turn that jumping fish into an edible dish.

I tried following the tutorial, pasting a competitor's URL into an input box and clicking run. The result? A long string of dense HTML code. Looking at that "heavenly script" made of angle brackets and slashes, I fell into despair once again.

It did "bring back" the webpage, but what it brought back was a pile of construction materials I couldn't understand, not the beautiful piece of furniture called "Price" that I wanted.

It turned out that so-called professional tools are Legos for programmers. And I was an outsider who couldn't even read the blueprints.

That afternoon, I sat at my desk dazed, asking myself: Do people in marketing or operations who don't know tech deserve to work the "dumbest" way?

Jing, sitting next to me, saw I was off and handed me a cup of coffee.

"What's wrong? Got scolded by the boss again?"

I told her the whole story, from the copy-paste weekend to the frustration with Apify.

Jing smiled after listening. She didn't offer empty comfort; instead, she typed a few things on her computer and sent me a link.
"Try this."

I clicked the link, and an extremely clean page popped up—so clean there was only an input box and a single button. The site's name was Novada.

Half-believing, I pasted the URL of that most complex competitor and clicked the button.

The page started spinning, indicating it was processing. I didn't have much hope and got up to make another coffee.

When I returned, the page said "Processing Complete," and a "Download" button had appeared.

I clicked download.

An Excel sheet landed on my desktop.

I opened it.

At that moment, I felt the whole world brighten up.

In the table, Column A was the Product Name, Column B was Price, Column C was Currency, and Column D was the Feature List. Every row corresponded to a package, and every column of data was clean, tidy, and standardized. Those prices hidden in pop-ups, those features shown in images, those complex payment models—all were clearly categorized and placed exactly where they should be.

The tidiness of the spreadsheet was as if it had been organized by a perfectionist with OCD.

Disbelieving, I threw all the URLs I had previously failed with into the tool. Five minutes later, I had the data for all 20 competitors, every single one of them flawless. The success rate was terrifyingly high.

I excitedly pulled Jing and asked, "What kind of magic is this?"

Jing took a sip of coffee and said calmly, "It’s not magic; you just used the right tool."

"Something like Apify provides a toolbox and lets you build the car yourself. You need to understand mechanics and circuits to eventually assemble a car that runs. But Novada? It is the car itself—or even a chauffeur. You don't need to worry about the engine or the gearbox; you just tell him where you want to go."

"Look," she pointed at the screen, "Don't those websites block your IP or use complex loading to hide data? This thing is a specialist. It has countless IPs rotating in the background and can click and scroll like a real human, so it can handle the sites you can't."

"Most importantly, it gives you the result directly. It understands the web code for you, extracts the price and feature info you need, cleans it, and lines it up in a table like this. You get the usable result directly, not a pile of raw materials requiring secondary processing."

"And," she added, "this service only charges you for the number of times you successfully get data. If it fails, you don't spend a cent. Unlike doing it yourself, where you buy servers and IPs and the money is gone even if you fail."

I stared blankly at that perfect spreadsheet and suddenly understood many things.

It wasn't that I lacked ability or didn't work hard enough. I was just using a hammer to turn a screw.

I am a market analyst. My value lies in looking at that clean table to discover competitor pricing strategies, to gain insights into the weaknesses of their features, and to find breakthroughs for our own products. My value lies in thinking and judgment.

I am not a data porter.

That afternoon, I sent the 20 competitive analysis reports to the boss. This time, there was no overtime, no anxiety—I even had time to go downstairs for a milk tea.

I bookmarked the Novada URL. I knew this wasn't just a tool; it was a weapon to reclaim my time, energy, and professional dignity.

It made me realize that working smart is always more important than just working hard.