Scraping Data Ke Marketplace Tokopedia Medium

Leo Migdal

-Nov 17, 2025, 7:45 AM

scraping data ke marketplace tokopedia medium

Download dan install python3 di OS kamu jika belum menginstall. Cek: Download pyhton Clone atau download repository tokped scraper via. git clone https://github.com/rahmatalhakam/tokopedia-scraper.git Install library python yang dibutuhkan. pip install requests beautifulsoup4 pandas

Setting keyword pencarian di file config.json Tambahkan url toko yang ingin di file tokopedia_shops.csv. Contoh: The program aimed to extract product data from the Tokopedia marketplace website based on specified keywords using web scraping techniques. Selenium with JavaScript-enabled selectors was utilized to extract the data due to the dynamic elements on the website. The extracted data included product name, price, location, rating, number of items sold, and details link, which were essential for data analysis and market research.

The data was saved in both CSV and JSON formats for further processing and analysis. Selenium Documentation: https://www.selenium.dev/documentation/ This code is intended for educational purposes. Please respect privacy, copyright and code and data terms of use. Read more about Tokopedia here. Tokopedia, one of Indonesia’s biggest e-commerce platforms has 90+ million active users and 350 million monthly visits.

The platform has a wide range of products, from electronics, fashion, groceries to personal care. For businesses and developers, scraping Tokopedia data can give you insights into product trends, pricing strategy, and customer preference. Tokopedia uses JavaScript to render its content; the traditional scraping method doesn’t work. Crawlbase Crawling API helps by handling JavaScript-rendered content seamlessly. In this tutorial, you’ll learn how to use Python and Crawlbase to scrape Tokopedia search listings and product pages for product names, prices, and ratings. Scraping Tokopedia data can be beneficial for businesses and developers.

As one of Indonesia’s biggest e-commerce platform, Tokopedia has a lot of information about products, prices and customer behavior. By extracting this data, you can get ahead in the online market. There are many reasons why one would choose to scrape data from Tokopedia: In the next section we will see what we can scrape from Tokopedia. This repository is an automated web scraping method, to scrape or collect data from a famous e-commerce in Indonesia, Tokopedia. The scrape method is build using Python language, with the help of Python's library:

(Note : The program is build using Python version >=3.8 and the browser that I'm using is Chrome version 10.) Here is the variables that you can change to your preference: Here is the list of column name and definition in dataset.csv file: pip install tokopaedi Copy PIP instructions A Python scraper for Tokopedia that supports filtered product search, detailed product information, and customer reviews with accurate mobile pricing and Jupyter Notebook compatibility. Extract product data, reviews, and search results from Tokopedia with ease.

Tokopaedi is a powerful Python library designed for scraping e-commerce data from Tokopedia, including product searches, detailed product information, and customer reviews. Ideal for developers, data analysts, and businesses looking to analyze Tokopedia's marketplace. Tokopaedi is available on PyPi: https://pypi.org/project/tokopaedi/ The Internet connects people worldwide. When it comes to online shopping, people in different countries may have different preferences for platforms. For business owners who want to run online businesses in Asia, Tokopedia is the platform they cannot afford to lose sight of.

The post will guide you through the largest e-commerce platform in Indonesia and demonstrate how to extract data from Tokopedia to enhance your business. Tokopedia is an Indonesian e-commerce company that serves over 100 million monthly active users and over 12 million registered merchants. According to its official website, about 638 million products are listed on the platform. Thus, Tokopedia is crucial for shaping Indonesia’s online retail landscape and enabling business owners to reach Indonesian consumers. In addition, the huge number of transactions on Tokopedia generates a vast amount of data. Tokopedia data is the raw material to develop valuable insights into consumer behavior, market trends, product performance, etc.

If you’re looking to understand the market and adapt to market dynamics in Indonesia, Tokopedia data is the footstone for you. Similar to other e-commerce platforms, you can find detailed information about listed products on Tokopeida. Let’s have an overview of the key types of data available on Tokopedia. Besides the information mentioned above, shipping and delivery information, search queries, product variations, etc., are extractable on Tokopedia. You can leverage such data for market analysis, competitive research, strategic decision-making, and overall business operations. This is the code used to scrape data from a certain shop in an Indonesian marketplace, Tokopedia.

Here is the snapshot of the data I retrieveed: The information table then further processed to separate the details into different columns (each detail has its own column). The product images are in the form of link for us to download using urllib library in python. Finally, once we have the data cleaned and processed, I also provide the code to automatically upload products using the data we have.

Scraping Data Ke Marketplace Tokopedia Medium

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