Collect public TikTok video data

The problem

Opening a TikTok page may show your agent only part of the available video information. It cannot work out captions, view counts, or posting dates from a profile link alone. It needs a tool that can collect those details from the public content available.

How NativePort helps

NativePort connects to TikTok through a collection tool on Apify and brings back available information about public videos. Your agent can use captions, dates, and other collected details to organize the videos or compare their performance. Tell your agent which profile you want to explore and what you want to learn.

Let your agent build it

You don’t need to write this code yourself. Copy the prompt and paste it into your agent. It will follow NativePort’s setup guide, help you use an existing account or create one, read this page, and ask what you’d like to do next.

View prompt

Help me use NativePort for this use case.

1. Read https://nativeport.ai/SKILL.md and follow its instructions to learn how to use NativePort. Save or update the skill if your environment supports it.

2. Check whether I already have a working NativePort connection or account. Reuse it if available. Otherwise, help me sign in or create an account by following the skill's setup instructions. Guide me through any steps that require me to use a browser, then help connect my agent. Keep credentials private.

3. Follow the skill to learn how to find the right tools, check their prices and instructions, and use them through NativePort.

4. Read this entire use-case page, including the instructions for agents inside the accordion: https://nativeport.ai/use-cases/extract-tiktok-data/

Once setup is complete and you have read the page, briefly explain what you can help me do and ask me what I would like to do next. Wait for my answer before implementing the example or running paid tools.

Instructions for the agents - You don't need to read this

Technical implementation

Use Python 3 with requests installed (python -m pip install requests). Set NATIVEPORT_API_KEY in your environment to your NativePort key. Run the snippets on your server, where your key stays private.

Set TIKTOK_USERNAME to a public username, without @. Start with a small sample.

python

import os
import requests

BASE = "https://api.nativeport.ai"
HEADERS = {"Authorization": f"Bearer {os.environ['NATIVEPORT_API_KEY']}"}

TERMINAL = {"SUCCEEDED", "FAILED", "TIMED-OUT", "ABORTED"}


def call(method, path, **kwargs):
    response = requests.request(method, BASE + path, headers=HEADERS, timeout=90, **kwargs)
    response.raise_for_status()
    return response.json()


run = call(
    "POST",
    "/apify/v2/acts/clockworks~tiktok-scraper/runs",
    params={"waitForFinish": 60},
    json={"profiles": [os.environ["TIKTOK_USERNAME"]], "resultsPerPage": 5},
)["data"]
while run["status"] not in TERMINAL:
    run = call("GET", f"/apify/v2/actor-runs/{run['id']}", params={"waitForFinish": 60})["data"]
print(call("GET", f"/apify/v2/datasets/{run['defaultDatasetId']}/items"))

The TikTok Actor input schema defines profile and search options. Validate a small run against your target before relying on it. A long collection runs the same way, polled until it finishes; page its dataset with limit and offset (see the Apify reference).

Tool costs

Tool used in the example	Price per call
Apify — TikTok scraper	Priced from Apify's reported cost for the request or run (usage-based)

Prices in USD. Usage-based tools have no fixed per-call price. View pricing.

The problem

How NativePort helps

Let your agent build it

Technical implementation

Tool costs

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