How to scrape stock data from Wise
- Minexa.ai
- 6 days ago
- 3 min read
Wise is best known as a money transfer platform, but it also hosts a publicly accessible stock directory covering thousands of listed companies across global exchanges. Each category page on wise.com lists company names, ticker symbols, and links to individual stock detail pages. If you need that data in a structured format for research, financial analysis, or portfolio tooling, copying it manually is not realistic at any meaningful scale.
This guide shows how to extract that data using Minexa.ai, a Chrome extension that turns any web page into a structured dataset without writing code.
What data can you extract from Wise stock pages?
The Wise stock category listing at https://wise.com/us/stock/category/s contains one row per listed instrument. Each row includes:
Company description — the full company name, including share class or instrument type where applicable
Stock symbol — the ticker identifier used on the relevant exchange
Stock link — the relative URL pointing to the individual stock detail page on Wise
The listing spans multiple pages, and Minexa handles that pagination automatically.
Step-by-step: scraping Wise stock data with Minexa.ai
Step 1: Open Minexa.ai and navigate to Wise
Install the Minexa Chrome extension, then browse to the Wise stock category page you want to scrape.
Step 2: Confirm you are on the right page
Click the Minexa extension icon. A popup appears with a confirmation prompt. Click the 'I'm on the right page' button to let Minexa begin its detection process.
Step 3: Review detected pagination
Minexa scans the page and identifies the pagination structure automatically. It shows you the pages it detected and asks you to confirm before continuing.
Step 4: Choose list-only or list with detail pages
At this point, Minexa gives you a choice. You can scrape the listing data only, or instruct it to follow each stock link and extract data from the individual detail pages as well. For building a full stock dataset, the two-layer option lets you capture everything in a single run.
Step 5: Select simple or advanced scraping mode
Choose between simple scraping for standard extraction or the advanced mode if your workflow needs custom interactions. For Wise stock listings, simple mode is sufficient.
Step 6: Minexa highlights the data container
Minexa automatically identifies and highlights the repeating data container on the page. No manual field selection is needed.
Step 7: Review extracted data points
After container confirmation, Minexa surfaces all detected data fields. You can browse through them before creating the scraper.
Step 8: Run the job and export
Once the scraper is created, run it from your jobs list. When the job completes, export to Excel, JSON, or connect directly to Google Sheets.
What the extracted data looks like
Here is a sample of the structured output from the Wise stock category page:
[
{
"company_description": "1st Source Corp",
"stock_symbol": "SRCE",
"stock_link": "/us/stock/srce"
},
{
"company_description": "Charles Schwab Corp",
"stock_symbol": "SCHW",
"stock_link": "/us/stock/schw"
},
{
"company_description": "Banco Santander S.A.",
"stock_symbol": "SAN",
"stock_link": "/us/stock/san"
},
{
"company_description": "Athlon Acquisition Corp - Warrants (12/01/2026)",
"stock_symbol": "SWETW",
"stock_link": "/us/stock/swetw"
}
]Each row maps directly to one instrument on the listing page. The stock link field is particularly useful if you plan to follow up with detail-page scraping to pull price data, exchange information, or historical performance figures.
Video tutorial
The full walkthrough is available below. It covers every step shown in this guide, from opening the extension to exporting the final dataset.
Scheduling and Google Sheets
Once your scraper is set up, you can schedule it to run on a recurring basis so your dataset stays current without manual effort. The summary screen after job creation also gives you the option to connect directly to Google Sheets, which is useful if you want the data to feed into an existing spreadsheet or dashboard automatically.
Reusing the scraper across other Wise stock categories
The scraper Minexa creates is not limited to a single URL. Because all Wise stock category pages share the same layout, the same scraper works across every alphabetical category page without any additional setup. You point it at a new URL and it extracts the data using the structure it already learned.
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