The AI Power-Worker Series ② News Monitoring: Auto-Compile Competitor Trends with the Naver API

By connecting the Naver Search API to AI, you can automatically gather and analyze competitors' news trends and even produce a PowerPoint report — in four steps: ① connect the Naver Search API, ② set up .env, ③ enter your monitoring angle, and ④ export to PowerPoint. Since this applies the same "API keys in .env, connection via prompt" method you learned in Part 1, you don't have to write any code yourself. The chore of searching and compiling articles one by one, every time, can now be done with a single prompt.

1. Connecting the Naver Search API

First, log into Naver Developers, register an application, and select Search as the API to use — and a Client ID and Client Secret are issued. The Naver Search API can query news, blogs, and web documents by search term, making it well suited to monitoring news about competitors and keywords.

The specific procedure is as follows:

1. Log into Naver Developers.
2. Under "Register Application," name your app and select Search as the API to use.
3. Enter the environment (service URL, etc.), and a Client ID and Client Secret are issued.

The two issued keys are essentially your access pass, so don't post them anywhere public.

2. Setting Up `.env`

Save the two issued keys in the .env file in your project folder. It's exactly the method covered in Part 1.

NAVER_CLIENT_ID=your_issued_id
NAVER_CLIENT_SECRET=your_issued_secret

Then add .env to .gitignore so the keys don't leak out. Once you've separated the keys this way, in the next step you only need to instruct the AI to "read and use the keys from .env."

3. Entering Your Monitoring Angle

With the keys ready, specify in a prompt the angle from which you want the analysis done. The key is to spell out the comparison targets, time range, and organizing criteria — not just "fetch articles." For example, you'd ask Claude Code:

Using the Naver Search API keys in .env, search the past month's news for
"Lotteria," "Burger King," and "McDonald's" separately. Then compare and
organize the three brands' marketing trends across three angles: new products,
discount promotions, and collaborations.
Read the keys from .env, and organize the source links in a table too.

By clearly giving "search targets + analysis angle + output format" like this, the AI gathers the articles via the API and then summarizes and compares them in the framework you want. Just change the angle and you can reuse it across any industry or topic.

4. Exporting to PowerPoint

The organized content can be turned into a PowerPoint file with one more prompt. The AI generates the slides using a tool like python-pptx and creates a .pptx file.

Turn the three brands' marketing trends I just organized into a 5-slide deck.
Structure it as: slide 1 cover, slides 2–4 per-brand summaries, slide 5 overall takeaways.

By specifying a structure of cover, per-brand summaries, and takeaways, you get a presentation-ready draft right away. You can refine the detailed design in PowerPoint, and for a recurring weekly report, you just rerun the same prompt.

Going One Step Further: Regular Automatic Runs

If you'd like to receive the same monitoring every week, you can hand even scheduled execution (a scheduler) off to the AI. Ask, "Create a schedule that runs this task automatically every Monday morning," and it will register it as an operating-system scheduled task (cron, etc.). That said, since automatic runs involve keys and permissions, it's safer to check the results yourself the first few times before handing it over to automation.

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References: Naver Search API Documentation · Claude Code Official Documentation