Home Backend Development Python Tutorial Just One Click! The Simplest Way to Scrap Store Product Data on Tokopedia

Just One Click! The Simplest Way to Scrap Store Product Data on Tokopedia

Jan 11, 2025 pm 02:09 PM

Tokopedia Scraper Python: Complete Guide to Retrieving Product Data

The following is a complete guide to using Tokopedia Scraper developed in Python. This tool allows you to retrieve product data from Tokopedia efficiently.

Main Features:

  1. Search by keyword.
  2. Retrieve data from several URLs at once.
  3. Automatic data export to CSV file.
  4. Automatic retry feature if a connection error occurs.
  5. Collect data on store names, products, prices, ratings, sales, product URLs and product images.

Image:

Hanya Sekali Klik! Cara Scraping Data Produk Toko di Tokopedia yang Paling Simpel

Figure 1: Tokopedia Scraper Python code snippet

Hanya Sekali Klik! Cara Scraping Data Produk Toko di Tokopedia yang Paling Simpel

Figure 2: Result of script execution

Hanya Sekali Klik! Cara Scraping Data Produk Toko di Tokopedia yang Paling Simpel

Figure 3: Successfully retrieved data

How to Use:

  1. Make sure Python 3 is installed on your operating system. If not, download and install it from Download Python.

  2. Clone or download the Tokopedia Scraper repository via Git: git clone https://github.com/rahmatalhakam/tokopedia-scraper.git

  3. Install the required Python libraries: pip install requests beautifulsoup4 pandas

  4. Set search keywords in the file config.json. Example:

     {
         "keyword": "mouse b100"
     }
    Copy after login
  5. Add the desired store URL to the tokopedia_shops.csv file. Example:

     url
     https://www.tokopedia.com/elscomputer
     https://www.tokopedia.com/starcomporigin
     https://www.tokopedia.com/youngscom/
     https://www.tokopedia.com/anandamcomputer
     https://www.tokopedia.com/computajogja
     https://www.tokopedia.com/harrismajogja
     https://www.tokopedia.com/jabenjogja
    Copy after login
  6. Run the Python script: python tokpedscraper.py

Note:

If this script is useful, suggestions for new features are greatly appreciated. Don't forget to like, follow and comment to provide input on what features need to be developed. Thank You! ?

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