Technical Blog

Detailed Process of Data Scraping Project Delivery

This article details the 8-step standardized delivery process for data scraping projects, covering requirement discussion, initial payment, development launch, data verification, mid-term payment, final delivery, and final payment clearance. The process emphasizes transparent communication, phased verification, and payment safeguards to ensure timely, high-quality project completion, minimizing risks and enhancing collaboration efficiency and client satisfaction.

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Data Scraping Requirements

This article provides a detailed overview of the key elements for successful data scraping collaboration, including data sources (websites/apps), required fields, specification development, delivery methods (such as Excel/API), and scraping frequency.

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Cost Components

This article thoroughly analyzes the cost structure of data scraping projects, primarily including development fees, server rental, proxy IPs, captcha-solving services, and account purchases.

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Data Delivery Method

This article systematically introduces various data scraping delivery methods, including Excel/CSV, JSON, databases, and backend management systems, comparing their suitable users, data volume ranges, and pros and cons.

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Building an In‑house Data Collection Team vs. Outsourcing: Cost, Speed, and Risk Compared

When companies plan a web data collection initiative, the first strategic decision is often whether to assemble an internal team or partner with an experienced vendor. This article takes a business decision-maker’s perspective and evaluates both approaches across total cost of ownership, time-to-value, risk mitigation, and long-term sustainability, so you can quickly determine which model fits your stage of growth.

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