This is a crucial first step where we gather requirements, understand the client’s needs, and identify potential challenges. It sets the foundation for the entire project and helps assess the feasibility of adapting previous solutions to meet new requirements.

We analyze the technical feasibility of scraping the identified sources, review potential roadblocks (e.g., anti-scraping measures, CAPTCHA, dynamic content), and define the technical approach for the project. This step ensures that the project is viable.

In this step, we create a detailed proposal and design a solution based on the client’s requirements and the feasibility assessment. We explore various approaches, including custom-built solutions or integrations with third-party services, ensuring the chosen strategy is tailored to the client’s needs, budget, and timeline.

We develop a small-scale proof of concept to demonstrate that the proposed web scraping solution works on one or more of the identified data sources. This step helps refine the solution before full-scale development.

Once the PoC is approved, we proceed with building the full-scale web scraping solution. This includes setting up the infrastructure, building data pipelines, and implementing any necessary automation and orchestration for large-scale scraping.

We conduct thorough testing to ensure the solution is robust, scalable, and meets all functional requirements. This includes performance testing on large-scale data and ensuring compliance with any data security regulations.

Deploy the custom web scraping solution to the client’s environment or cloud, ensuring smooth integration with their existing systems (e.g., CRM, databases, BI tools). We also ensure monitoring and alerting are in place to handle data changes or scraping challenges.

Provide ongoing support for the solution, including handling updates to data sources, dealing with changes in website structures, and optimizing the scraping process as needed.