How to Get Bitbucket Data Into Excel (4 Methods Compared)

The Problem with Getting Bitbucket Data Into Excel

Bitbucket holds engineering data your team genuinely needs to review: open pull requests sitting across eight repos, deployment history for a compliance audit, pipeline runs that keep failing on the same branch, issues that have been unassigned since February. The data is in Bitbucket. Getting it into an Excel workbook is where the time goes.

The default approach is to open Bitbucket in the browser, navigate to what you need, and copy rows into Excel manually. Per repo. One page at a time. For a workspace with twelve repositories and forty pull requests spread across them, you are spending the first hour of your morning collecting before you have done any analysis. And you will do it again next week.

Below are the four ways people typically pull Bitbucket data into Excel. Only the last one handles the work at scale.

Method 1: Copy the Data Out of Bitbucket by Hand Into Excel

The default. You open Bitbucket in the browser, filter to what you want — open PRs, recent deployments, pipeline failures — and manually copy the content into an Excel workbook. Then you repeat the same steps for the next repo.

When this works:

• One repo, one data type, fewer than twenty rows
• A one-off task where consistency between runs does not matter
• You already have the workbook structured and just need a few rows filled in

When it breaks:

• More than three repos in the workspace
• Any data type where Bitbucket paginates past the first page
• Recurring workbooks where this week's columns need to match last week's
• Anything with deployment history, which Bitbucket breaks out per environment

The real problem is that Bitbucket does not export to CSV. Pull requests, deployments, pipeline runs, issues — none of them have an export button. You are pulling from the browser UI into Excel, row by row, until you run out of time.

Method 2: Use Power Automate to Sync Bitbucket Events to Excel

Power Automate is the natural choice if your Excel workbooks live on OneDrive or SharePoint. You configure a flow that watches for Bitbucket events — new pull request, pipeline completion, issue created — and appends a row to the workbook each time one fires.

This works for event-driven moments:

• Logging every new PR as it is opened
• Appending a row whenever a pipeline run finishes
• Capturing new issues the moment they are filed

This fails for batch or historical work:

• Pulling all open PRs as of right now across all repos
• Fetching deployment history for the last 30 days for a post-release audit
• Calculating pipeline pass rates across branches over a quarter

Power Automate captures events going forward from the day you configure it. The thirty PRs that were already open before you set up the flow are not in the workbook. The compliance audit you need to do this week covers the last ninety days — which means you are back to the manual approach for all historical data.

Method 3: The Previous Generation — Bitbucket API Connector Add-Ins for Excel

Until recently, the best option for pulling Bitbucket data into Excel workbooks on a recurring basis was a category of API connector add-ins. You connected via OAuth, selected a Bitbucket API endpoint, mapped the JSON response fields to workbook columns, and set a refresh interval.

That was a real step up from copy-pasting. The workbook refreshed automatically, the column order was consistent, and you could share it with a teammate who did not need to touch Bitbucket's UI.

But you were still responsible for the endpoint selection, the field mapping, the pagination handling, and any filtering logic. The add-in fetched the data, but the shape of what arrived depended on how well you had configured the mapping, and any change to a Bitbucket API response field broke the workbook until someone went in and remapped it.

Multi-repo queries were particularly painful. A workspace-wide PR summary required chaining several API calls, merging the results, and combining multiple workbook ranges by hand. Most add-ins exposed one endpoint at a time. The full-workspace view your engineering manager wanted was three separate queries stitched together in a tab nobody could maintain.

This is the category we think of as the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Excel

There is a different approach. SheetXAI is an AI agent that lives inside your Excel workbook, both on Excel for the web and Excel desktop. It reads the workbook, understands what you are building, and through its built-in Bitbucket integration it can query the API, handle pagination, merge results across repos, and write everything into the right columns. No endpoint configuration, no field mapping, no pagination math, you just ask.

Example 1: Your Workbook Is Empty and You Want a Snapshot Now

You are the engineering manager. The weekly sync starts at 10 AM. It is 9:15.

List all open pull requests in Bitbucket workspace 'acme-corp' across every repo. Write repo name, PR title, author, source branch, and days open into columns A through E of the PRs tab. Sort by days open descending.

SheetXAI calls the Bitbucket API, paginates through all results, merges data from every repo, and writes the rows into the PRs tab. The sort is applied. You walk into the sync with a live view of what is sitting open and for how long.

Example 2: Your Data Involves Multiple Repos and Needs Analysis

If you want more than a raw list — pipeline pass rates by branch, or a summary by repo — SheetXAI can query, aggregate, and write the analysis in the same prompt:

Pull all pipeline runs from the last 30 days for repos 'backend-service', 'frontend-app', and 'api-gateway' in Bitbucket workspace 'acme-corp'. Calculate pass rate per repo and per branch. Write the raw runs into the Raw Data tab and the pass-rate summary into the Summary tab.

SheetXAI handles the three separate repo queries, merges the results, runs the calculations, and populates both tabs. One prompt, two tabs, three repos, thirty days of history.

Which Method Should You Use

For a genuine one-off where you need a handful of rows from a single repo, copying by hand is faster than any setup. For event-driven logging where a new row should appear every time a pipeline runs or a PR is opened, Power Automate is a reasonable fit.

For anything involving historical data, multiple repos, workspace-wide queries, or analysis layered on top of the raw rows, SheetXAI is the only option that does it in one prompt without configuration. You describe what you want, it writes it into the workbook.

If you run engineering syncs weekly, or if you need audit-ready exports more than a couple of times a year, the first prompt pays back the setup on the first use.

Try It

Get the 7-day free trial of SheetXAI and open a blank Excel workbook, then ask it to pull open pull requests from your Bitbucket workspace. The Bitbucket integration is included in every plan.

For specific workflows, see how to export deployment history for a release audit, how to measure PR review velocity in Excel, or browse the full integrations directory.