How to scrape finance market data from Federal Reserve using Minexa.ai
- Minexa.ai
- 3 days ago
- 2 min read
The Federal Reserve publishes foreign exchange rate data on its H.10 release page every week. The data is public, structured in tables, and updated on a fixed schedule. Turning it into a reusable dataset manually means copying rows, reformatting columns, and repeating the process every time the page updates.
This guide shows how to extract that data using Minexa.ai, a Chrome extension that detects and exports structured data from any web page without writing code.
What the Federal Reserve H.10 page contains
The H.10 release at federalreserve.gov/releases/h10/current/ publishes foreign exchange rates for a range of currencies against the US dollar. The page is updated weekly and includes rate values, currency labels, and period identifiers. It is a primary source for analysts, economists, and anyone building currency monitoring pipelines.
Install the Minexa.ai Chrome extension to follow along.
Watch the full tutorial
Step-by-step extraction walkthrough
Start by opening the Minexa.ai home page and signing in to your account.
Navigate to the Federal Reserve H.10 page at federalreserve.gov/releases/h10/current/. Once the page has fully loaded, the extension is ready to begin detection.
Open the Minexa.ai extension popup. You will see the confirmation button confirming you are on the correct page to begin.
Minexa then checks for pagination. It detects whether the page uses a next page button, infinite scroll, or a load more pattern. For this page, you will see the pagination options detected and a Continue button to proceed.
After confirming pagination, choose whether to scrape the list only or also follow linked detail pages. For the H.10 release, scraping the single list captures all the rate data you need.
Select the simple scraping scenario to proceed. Minexa then highlights the full data container on the page automatically.
Once you confirm the container, Minexa extracts all data points it finds. You can browse through all detected columns using the next and previous navigation.
Sample extracted data
Below is an example of what the extracted records look like. Fields prefixed with meta__ are system fields used for deduplication and run tracking.
[{"currency": "Euro","rate": "1.0842","period": "2024-01-05"},{"currency": "Japanese Yen","rate": "144.35","period": "2024-01-05"}]Each row maps to one currency rate entry. The period field anchors each value to its publication date, which is useful when building time-series datasets with scheduled runs.
Export and scheduling
Once the job finishes, export your data to Excel, Google Sheets, or JSON. You can also schedule the scraper to run automatically each week to capture new rate values as the Federal Reserve publishes them, without triggering anything manually.
To get started, install the Minexa.ai Chrome extension and open the Federal Reserve H.10 page. The scraper trains once and reuses the same configuration on every subsequent run.
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