Complete TikTok Keyword Data Collection in 3 Steps
This practical guide provides an in-depth review of Capalyze’s operational logic.
1. Input: Precisely target long-tail keywords and time ranges through a visual interface.
2. Process: Utilize cloud-based engines to achieve fully automated, high-speed crawling and data cleaning.
3. Output: Export data to Excel/JSON with one click, transforming unstructured public opinion into quantifiable competitive intelligence.
Reject black-box operations—this guide walks you through every interaction detail, helping you evolve from a "passive data contributor" to an "active data hunter."
Capalyze’s TikTok Keyword Search Scraper is one of the most intuitive tools on the market for video data collection. To help you clearly understand how to operate it, this tutorial will break down each step with visual details from the operational interface.
Step 1: Access Capalyze and Match the Collection Template Precisely
1.Access Capalyze and choose a dedicated template
Visit capalyze The interface is clean and offers dozens of templates. Click "TikTok Keyword Search Scraper" to create a collection task.
2.Review the collection example
As a beginner, it’s essential to review the provided example—it helps improve efficiency! Click on "TikTok Keyword Search Page" and enter your desired keyword.
3.Start the collection
Enter the collection environment. You’ll see the newly created task. Define the task name and input the target dynamic URL. Click "Run", and Capalyze’s automated crawler engine will launch, simulating clicks and pagination in the background.
Step 2: Configure the Target URL and Start Automated Collection
1. Set up the task
Take "blanket" as an example. Copy the address bar URL from the webpage and paste it into Capalyze. Click "Run", and Capalyze will open a new webpage for data crawling.
⚠️Note: Do not completely cover the new crawling page with existing windows.
2.Stop and save
In this example, 177 pieces of data were collected, meeting the requirements. Click "Stop and Save Collection".
Step 3: Data Cleaning and AI Analysis
After data collection is complete, the system supports direct access to the AI analysis module. This is Capalyze’s core strength—no more manual Excel processing. By editing analysis instructions, AI dives deep into the data layer for insights, automatically performing sentiment analysis, data segmentation, and generating in-depth reports that include core issues, typical feedback, and improvement suggestions.
1. View the dataset
After stopping the collection, you can review the collected data. Due to page limitations, only a portion is displayed here. Verify the dataset meets the collection standards before proceeding.
2.Initiate AI dialogue for data analysis
Ask Capalyze a question, such as:
"What are the most common concerns in data collection?"
3.Generate the report
Click the small airplane icon in the lower right corner, and Capalyze will automatically begin analysis. No matter how many questions you ask, it will analyze them one by one.
the results were exactly what you’d expect: When people hear the words "Data Collection," 90% of them panic. You’re worried about leaks. You’re worried about surveillance. You’re worried about your life being put on display.
The core of the problem lies in "Information Asymmetry."
● Big Tech uses Data Collection to predict your desires and drain your wallet.
● Your competitors use Data Collection to spy on your strategy and steal your customers.
● And you? You might still be hesitating over whether to click "Accept" on a privacy policy.
The only cure for this anxiety is to equip yourself with equal power.
Our product isn't here to teach you how to be a "villain," but to provide you with equal competitive tools. We have lowered the technical barrier of Data Collection to the floor, making it effortless for anyone to use Capalyze to gather high-value market intelligence.
When you start personally wielding the power of Data Collection, the landscape shifts:
1. The Fog Lifts: You no longer guess blindly; you clearly see your competitors' cards and the market's true direction.
2. You Take Control: You stop reacting passively to the market and start defining your own strategy based on data.
3. You Evolve: You go from being a "data point" in someone else's database to the "architect" building your own.
Data Collection is essentially a lever. In someone else's hands, it is a tool to build barriers. In your hands, it is a key to unlock your future.
Since we cannot reverse the tide of the Data Collection era, instead of standing on the shore in anxiety, you might as well join the game—and play to win.
Conclusion
That’s all for today’s guide! We hope this tutorial helps even complete beginners master data collection.
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Many Capalyze templates are now available for free. Try it today and streamline your data workflow!👉https://capalyze.ai/create