How to Use Real Estate Web Scraping to Gain Valuable Insights
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Bukalapak is one of Indonesia’s largest tech companies and a key player in e‑commerce and digital services. The platform connects 100M+ users with 7M+ small businesses and local warungs, helping them sell online and grow. In 2024, Bukalapak shifted its focus to virtual products — from mobile credits and vouchers to digital payments and financial services. With our Bukalapak scraper, you get structured data from this dynamic ecosystem to track market trends, consumer demand, and emerging opportunities in Indonesia’s booming digital economy.
Our Bukalapak web scraper collects exactly the data your business needs — no tools, no dashboards, no complicated APIs. We deliver cleaned and structured information in the format you prefer, whether CSV, Excel, or JSON. Forget the hassle of managing extractors or handling parsing errors; we prepare ready‑to‑use datasets that let you focus on analysing opportunities and making data‑driven decisions.
Our Bukalapak scraper captures the full depth of product information published on bukalapak.com. We collect product titles, detailed descriptions, current prices, available discounts, and high‑quality images. For digital products — such as mobile credits, vouchers, and subscriptions — we extract plan details, balance options, and pricing tiers. You also get structured category data, seller names, and availability status, all organised and cleaned for immediate analysis.
When we scrape Bukalapak, you gain access to customer reviews and ratings, seller performance scores, delivery options, promotional campaigns, and cross‑linked related products. We also extract insights into voucher usage, demand peaks, and category‑level sales trends. These additional layers of data show you how Bukalapak positions its products, which offers drive engagement, and where untapped growth opportunities lie.
Bukalapak is one of Indonesia’s largest technology companies and a key driver of the country’s digital transformation. Launched in 2010 as an e‑commerce marketplace, it has evolved into an all‑commerce ecosystem serving 100M+ users and 7M+ small businesses, including thousands of traditional family‑run warungs moving online for the first time.
The platform now focuses heavily on virtual products and digital services — from mobile credits, vouchers, and subscriptions to payments, investments, and logistics solutions. Through programs like Mitra Bukalapak, it supports local merchants and connects them with millions of buyers nationwide. With transactions in Indonesian rupiah (IDR) and a rapidly growing user base, Bukalapak is not just a marketplace — it’s a window into Indonesia’s evolving consumer behaviour and a critical source of insights for anyone analysing Southeast Asia’s booming digital economy.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Bukalapak — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
A Bukalapak data scraper gives you direct access to the platform’s massive ecosystem and transforms it into actionable insights. With millions of active users, countless digital services, and high‑volume transactions, the data reflects real consumer demand in Indonesia. Our extractor delivers cleaned and structured product data exports — ready to analyse, compare, and integrate into your business workflows. Whether you’re tracking prices, monitoring promotions, or benchmarking competitors, Bukalapak’s scale makes its data invaluable.
Learn how to use web scraping to solve data problems for your organization
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
ScrapeIt specialises in extracting structured data from e‑commerce platforms, marketplaces, and digital service providers worldwide — including Bukalapak product data. We don’t provide dashboards or complicated tools; instead, we deliver exactly what you need in clean, ready‑to‑use datasets. Whether it’s a single product page or thousands, our team handles everything: parsing, processing, and preparing data in your preferred format. With us, you focus on insights while we take care of the heavy lifting.
We use a dedicated extractor to collect fresh, verified data directly from product pages.
Yes, our Bukalapak parsing can focus on a single product page, entire categories, or the full catalogue.
Unlike automated platforms, we manage the entire process and deliver ready‑to‑use product data exports.
Absolutely. Our company can merge Bukalapak datasets with other sources for cross‑platform analysis.
No setup needed — our services handle everything and deliver the data in your preferred format.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
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