Data Aggregation

Use our advanced crawling services to harvest data from the web or create data aggregation platforms

Crawling as a service:

We provide a web crawling service for clients to extract data that they need from publicly available websites. The data may include listings, pricing, categories, reviews, etc.


Pricing differs based on the customised plans for each project

Project variables include:

  • The frequency of crawling
  • The number of websites crawled
  • The volume of data harvested
For more information, visit

Crawling and Data aggregation platforms:

At Soft Surge, we have built live data aggregation platforms, including our project Estate Searcher. This platform uses our engine and website template to gather data from various Real Estate Agents. The collected data is then structured and presented on the search engine. With listings currently at over 80.000, the site is expanding quickly.

We are proud to say that this project has won an award from the IDEA innovation centre.

We aim to use the engine and template to create new platforms for aggregating and indexing data. The ultimate goal is for users to find what they are looking for on one platform— eliminating the need to search on many websites.

Additionally, each platform can generate revenue using a model that suits its needs (e.g., affiliate revenue, advertising revenue, etc.).


The web crawling process follows three main steps; Crawling, Scraping, and Data Structuring. Essentially, each step plays a part in searching for, extracting, and preparing needed data. Read more about the process here.

All websites with public data and internal databases belonging to clients can be crawled.
Common uses of crawling include populating listings, competitor price monitoring, market research, and indexing.

The crawled data will be structured into any custom format requested by each client.

Data aggregation is the entire 3-step process of creating a means for crawled data to be displayed on unified platforms in a real-time manner. The 3 steps of data aggregation include crawling, scraping and structuring. Some examples include marketplaces, indexing websites, search engines etc.