How to scrape web resources competently and efficiently

Instead of having to reverse-engineer APIs do the smart thing and leverage existing website business logic to collect data, and the power of PostgreSQL to analyze what's extracted.

Harnessing the Power of a 10x Developer's Approach to Web Scraping

In the diverse and changing landscape of data acquisition, web scraping stands out as a critical tool for businesses and individuals needing to collect information from the internet. Web scraping enables the retrieval of data from websites, transferring the content into structured databases, spreadsheets, or other formats for analysis, storage, and processing. In this article, we will dive deep into the realm of a highly efficient approach to web scraping employed by adept developers, often referred to as 10x developers due to their ability to be ten times more productive than their peers. This robust methodology streamlines the web scraping process, optimizes developer time, and achieves scalability without compromising on flexibility.

A User-Centric Approach

At the heart of this innovative web scraping strategy is the principle of simplicity and speed of development. Rather than getting bogged down in attempting to deconstruct the intricate logic of the target website, 10x developers focus on triggering necessary user actions and capturing the results. This is accomplished by employing actual web browsers to execute and monitor the scraping operations, allowing for real-time assessment and intervention, if needed.

Out-of-the-Box API Utilization

To save on the hassle and time taken to write a back-end from scratch, this method advocates the use of readily available APIs. By relying on established client-server architectures—consisting of a database and an API—and browsers serving as collectors, the system supports scalability. It can also be enhanced to a multi-tenant or crowd-sourced operation, whereby numerous users could contribute to the data collection effort.

Leveraging PostgreSQL for Persistent and Scalable Storage

The use of PostgreSQL for data storage plays a crucial role in this approach. By capturing JSON responses from web calls and converting them into flat tables and viewable relations, PostgreSQL not only simplifies the process but also provides scalability, capable of handling extensive data sets reaching terabytes in size. Taking advantage of PostgreSQL's snapshots, updates to the data sets are incremental, ensuring performance maintenance. Moreover, PostgreSQL's extensive ecosystem and extensions, such as trigram and PostGIS, facilitate comprehensive data analysis.

Employing PostgREST for Backend Efficiency

To further alleviate the burden of backend coding, this method utilizes PostgREST, which transforms a PostgreSQL database into a RESTful API. This eliminates the need for writing backend code, ensures security through PostgreSQL's security model, and offers extensibility.

Using Chrome Extensions for Organic Development

In lieu of utilizing wrappers like Selenium, the preference is given to Chrome extensions for their ability to evolve from manual to automated tasks seamlessly. As it operates within a true browser environment, it remains indistinguishable from human users, allowing for headless and remote deployment via VNC, and opening avenues for large-scale crowd-sourced data collection when coupled with PostgREST.

Blanket Interception for Comprehensive Data Capture

By intercepting all network requests initiated by the browser, the method allows for complete data capture, enabling subsequent analysis and extraction. Given that many web services communicate via JSON APIs, HTML parsing becomes less of a concern, and developers can fully leverage PostgreSQL's JSON handling capabilities for efficient data manipulation.

Utilizing Node.js on the Server

In scenarios where HTML parsing is unavoidable, Node.js enters the picture as the server-side technology of choice. It allows for the writing of isomorphic code that can later be implemented into the browser extension if necessary, ensuring consistency and maintainability across the platform.

Getting Started

For developers aspiring to adopt this approach, boilerplate code and a guide to getting started can be found on GitHub at This resource provides a solid foundation from which to build and tailor a bespoke web scraping solution following the methods outlined above.


In sum, the 10x developer's approach to web scraping offers an integrated and strategic framework that maximizes efficiency, scalability, and flexibility. From the use of real browser environments to harness the full advantages of PostgreSQL and PostgREST, this method is revolutionizing the way we think about and undertake web scraping tasks. It is not just an improvement in speed, it is a leap forward in the comprehensive collection and sophisticated analysis of web data, making it an indispensable tool for programmers and businesses alike.

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