How to web scrap on TikTok in 2025?

Between viral trends, influencers and ultra-engaged communities, TikTok is a veritable well of data in 2025. But how do you extract this valuable information? Visit web scraping is the solution!

In this article, we show you how to web scrap on TikTok in 2025with or without code.

Different ways to scrap on TikTok

Avant de plonger dans les méthodes, rappelons rapidement ce qu’est le web scraping This is a process ofautomated extraction which allows retrieve data from websites.

There are two main approaches to TikTok scraper in 2025you can :

• Use dedicated tools.
• Code your own scraper in Python.

The choice depends on your technical skills, but also on the complexity of your TikTok project. We tell you all about it!

1. Use web scraping tools

C’est l’approche la plus simple et la plus rapide pour TikTok scraper, la solution idéale pour ceux qui n’ont pas de compétences en programmation.

Web scraping tools offer turnkey solutions They handle most of the technical challenges (bypassing protection, managing proxies, etc.) for you.

Here are three web scraping tools efficient TikTok scraper:

• 💡 Bright Data
• 🤖 Apify
• 🐙 Octoparse

Bright Data

Bright Data is a complete solution, renowned for its proxy services (residential and mobile) and its advanced scraping tools (dedicated APIs, integrated scraping browser...).

L’outil propose une fonctionnalité spécifiquement dédiée au scraping TikTok : l’APK TikTok Scraper which lets you collect data on TikTok profiles, videos or hashtags quickly and efficiently, without having to deal with complex technical aspects.

We tell you all about it in our full review of Bright Data.

Apify

Apify is a platform for development of scrapers which lets you build and run large-scale scrapers.

His TikTok Scraper is a powerful tool for extracting detailed information, such as user profiles, comments, hashtags and metadata from TikTok videos.

It's a flexible solution qui s’adapte aux besoins des développeurs comme à ceux des entreprises. Pour plus de détails, n’hésitez pas à consulter notre full opinion on Apify.

Octoparse

Octoparse is a no-code scraping solution. With its intuitive interface, the platform lets you create scrapers in just a few clicks, without writing a single line of code.

L’outil vous propose aussi un template TikTok Scraper qui facilite la collecte d’informations sur TikTok. De plus, vous pourrez également personnaliser votre scraper selon vos besoins.

To find out more, read our full review of Octoparse.

2. Code scraping with Python

Web scraping with Python is a more technical and customizable approach to extracting data from TikTok. However, this approach requires basic programming skills.

C’est la solution idéale si vous voulez un total control on the TikTok data to be extracted, the formats, the rhythm...

Now here's how to scrape TikTok with Python :

Prerequisites

To get started, you need to install a few Python libraries on your computer:

pip install requests beautifulsoup4 selenium

This command installs :

• ✅

  Requests

  for HTTP requests

• ✅

  Beautifulsoup4

  to analyze HTML content

• ✅

  Selenium

  to manage JavaScript pages if required

Pour ce tutoriel, nous allons nous concentrer sur une méthode efficace : l’extraction des données d’un profil TikTok, d’un hashtag ou d’une vidéo via l’JSON response analysis hidden in the page TikTok.

👉 Step 1: Analyze the network request

• Open the development tools (F12) of your browser.
• In the Networkobserve the loaded requests when you visit a TikTok profile or hashtag.
• Then locate internal API URL (often a <script> containing JSON data, or XHR requests to a URL /api/...). You will find it in l’onglet Headers.
• C’est cette URL que nous allons utiliser.

👉 Step 2: Send the request and get the response

Une fois que vous avez l’URL TikTok, vous pouvez l’utiliser avec Python pour simulate a query and get the JSON response.

Here's a simplified example using requests (Where httpx) for retrieve JSON :

import requests
from parsel import Selector
import json

url = "https://www.tiktok.com/@pseudo" # replace with target URL
resp = requests.get( url, headers={
    "User-Agent": "Mozilla/5.0"
})
selector = Selector(resp.text)
data = selector.xpath("//script[@id='__UNIVERSAL_DATA_FOR_REHYDRATION_']/text()").get()
profile = json.loads(data)["__DEFAULT_SCOPE__"]["webapp.user-detail"]["userInfo"]
print(profile) 

📌 This type of method for scrapping TikTok is taken from real-life examples found at ScrapFly

👉 Step 3: Extract relevant data

You can then filter JSON pour ne garder que l’essentiel (nom, statistiques, description…).

Here's another example using ScrapFly for TikTok posts:

from scrapfly import ScrapeConfig, ScrapflyClient
import json, jmespath

SCRAPFLY = ScrapflyClient(key="VOTRE_CLE")
CONFIG = {"asp": True, "country": "US"}
def parse_post(response):
    sel = response.selector
    data = sel.xpath("//script[@id='_UNIVERSAL_DATA_FOR_REHYDRATION']/text()").get()
    post = json.loads(data)["____DEFAULT_SCOPE_"]["webapp.video-detail"]["itemInfo"]["itemStruct"]
    return jmespath.search(
              """{
        id: id,
        desc: desc,
        author: author. {uniqueId, nickname},
        stats: stats
            }""",
     post
     )
async def scrape_posts(urls):
    to scrape = [ScrapeConfig(url, **CONFIG) for url in urls]
    results = []
    async for resp in SCRAPFLY.concurrent_scrape (to_scrape):
        results.append(parse_post(resp))
    return results 

📌 This code shows how clean data parsing TikTok important. 

👉 Step 4: Manage iteration and pagination

Souvent, l’API TikTok ne renvoie qu’une petite partie des résultats à la fois. Pour obtenir plus de vidéos TikTok, vous devez ainsi manage pagination.

L’idée est d’utiliser une boucle (comme while) pour continuer à envoyer des requêtes tant qu’il y a des résultats à charger.

To extract multiple pages TikTok or sets of results :

cursor = 0
all_data = []
while True:
   params = {"count": 20, "cursor": cursor, "aweme_id": post_id}
   resp = requests.get(api_url, params=params)
   data = resp.json()
   comments = data.get("comments", [])
   all_data.extend(comments)
   if not data.get("total") or cursor >= data["total"]:
        break
      cursor += params["count"]

📌 Here, we use the parameter cursor to paginate via the internal API (the comments API, for example).

To find out more about HTML scraping and data manipulation, take a look at our complete guide to HTML scraping. web scraping Python BeautifulSoup.

Why scrap on TikTok?

Scraper TikTok is useful for many professional and academic purposes.

Here are five good reasons to collect data on TikTok :

1. 📊 L’analyse de marché : With TikTok scraping, you can identify emerging trends, popular sounds and content niches.
2. 🤝 Le marketing d’influence : The data collected on TikTok will enable you to find relevant content creators for your brand and analyze their audience performance.
3. 💬 L’analyse de sentiment : vous pourrez évaluer la perception d’une marque ou d’un sujet en analysant les commentaires sous les vidéos TikTok.
4. 🎓 Academic research : les données TikTok récoltées grâce au scraping permettent d’étudier des phénomènes sociaux ou culturels qui se manifestent sur la plateforme.
5. 🕵️‍♂️ Competitive intelligence : Web scraping on TikTok allows you to monitor your competitors' content strategies and performance on the platform.

FAQs

Is web scraping on TikTok legal?

It's a complex issue.

In general, the scraping public data sur TikTok n’est pas illégal, mais il faut respecter les conditions d’utilisation de TikTok and personal data protection laws (such as the RGPD).

For more details, please see our article on légalité du web scraping.

What are the best tools and software for scraping TikTok?

It all depends on your needs and skills.

👉 For beginners, Octoparse is the ideal solution for simply scrape TikTok and efficiently.

👉 For more complex TikTok projects and complete solutions, it's best to opt for Bright Data or Apify.

For a detailed comparison, please refer to our article on best web scraping tools.

What data can you extract from TikTok?

Vous pouvez scraper une grande variété d’useful information on TikTok:

• ⭐ Profils d’utilisateurs (nom, biographie, nombre d’abonnés…)
• ✍️ Video descriptions
• 🔥 Hashtags and TikTok trends
• ❤️ Number of likes, shares, comments, views...

How to get around TikTok's anti-bot protection?

TikTok uses measurements to block scrapers (JavaScript verification...). But don't worry, it's perfectly possible to bypass the TikTok anti-bot protections. For example, you can :

• 👉 Use rotating proxies to hide your IP address
• 👉 Simulate a real navigator with Selenium or Playwright
• 👉 Add random delays between requests to avoid overloading TikTok servers

the web scraping on TikTok n’a désormais plus aucun secret pour vous. Laquelle des méthodes explorées dans cet article comptez-vous tester pour scraper TikTok ? N’hésitez pas à partager vos expériences dans les commentaires !