Estimating the Cost to Add a Web Data Source

Adding a new web data source, such as a news provider, a blog network, or a mid-sized social network, is more involved than it first appears. The work spans planning, engineering, infrastructure, and the maintenance that continues long after the source goes live. This guide walks through each cost so you can estimate the full picture before you commit.

Estimating resource costs

Integrating a single new web data source typically takes about 3.5 sprints, or roughly 7 weeks from planning to production release. The people involved during that window are the largest part of the bill.

Across the full 7-week integration, resource costs of the web data integration come to $67,940. That figure excludes documentation, product marketing, QA, and project management, so the real number is likely higher once those roles are counted.

Infrastructure estimated costs

Alongside the people, the integration needs supporting infrastructure. These are ongoing services that run for as long as the source is active.

Supporting costs across the initial 7-week integration total $2,947.

*Data storage assumes 100GB per month on a 3-month rolling cycle, priced at $1.38 per GB, using services such as BigQuery or ElasticSearch.

Estimated maintenance costs and summary

The work does not end at launch. Web data sources need a new release roughly every 6 weeks, and breaking changes arrive about every 18 months, forcing a refactor. Budgeting for that upkeep is essential.

Summary

Put together, a single new web data source carries a one-time build cost near $70,887 and a recurring maintenance cost of about $1,269 every month. Multiply that across the many sources most intelligence products need, and the totals add up quickly. A managed pipeline removes that build-and-maintain burden so your team can spend its time on the product instead of the plumbing.