MDN Web Docs Search Scraper is a BrowserAct Bot template for collecting structured documentation search records from public MDN Web Docs pages. Configure a keyword and result count, then run the Bot to return ranked documentation results for developer research, content planning, documentation analysis, or automation workflows.
What Does BrowserAct MDN Web Docs Search Scraper Do?
This template opens MDN Web Docs search for your keyword, collects public search result data across pages, and returns one structured record per documentation result.
Key Features
- Extract public MDN Web Docs search results without requiring a login.
- Capture rank, title, URL, summary, content type, breadcrumbs, and keyword.
- Configure base URL, keyword, and count.
- Continue through MDN search pages until the requested count is reached.
- Keep documentation paths readable for downstream analysis.
What Data Can I Extract from MDN Web Docs?
| Field | Description |
|---|---|
rank |
Search result position. |
title |
Documentation result title. |
url |
Public MDN documentation URL. |
summary |
Search result summary or excerpt. |
content_type |
Documentation section derived from the result path. |
breadcrumbs |
Readable documentation path. |
keyword |
Search keyword used for the run. |
How to Use MDN Web Docs Search Scraper
- Click Run task.
- Enter the documentation search keyword.
- Set how many result records to collect.
- Run the Bot and review the structured documentation results.
- Reuse the Bot with another keyword or connect the output to your workflow.
Input Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
base_url |
Yes | https://developer.mozilla.org |
MDN Web Docs origin without a trailing path. |
keyword |
Yes | fetch api |
Search keyword or phrase. |
count |
Yes | 20 |
Maximum number of search result records to return. |
Example Output
The table below uses records preserved from the validated Bot run. Up to the first 5 records are shown, and long values are shortened in this documentation preview.
| rank | title | url | summary | content_type | breadcrumbs | keyword |
|---|---|---|---|---|---|---|
| 1 | Fetch API | https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API | The Fetch API provides an interface for fetching resources. | API | Web / API / Fetch API | fetch api |
How Does it Work?
BrowserAct constructs a public MDN Web Docs search URL from base_url and keyword, then uses MDN's public search result data to collect ranked documentation records. Each result is mapped into a title, documentation URL, summary, section, breadcrumb path, and keyword.
When count is higher than the first result page, BrowserAct continues through MDN search pages until the requested count is reached or no more public results are available. MDN public search exposes a bounded result window, so very high counts may return fewer records than requested.
How to Build a New Scraper Bot with Agent Built
Step 1: Describe the Data You Need
Open BrowserAct and start Agent Built from the Home prompt box or from Create -> Build with Agent. Paste a clear request that includes the website, the records to collect, the filters or search conditions, the fields to return, the result limit, and the inputs you want to reuse later.
Step 2: Let BrowserAct Build and Test the Bot
BrowserAct explores the live website, works out the navigation and extraction path, and validates the result. If BrowserAct asks for clarification, reply in the same build conversation with the missing URL, condition, field, example, or expected output.
Step 3: Run the Bot and Review the Result
When the build is complete, run the Bot with the default inputs first. Review the structured records, source URLs, missing fields, and row count before reusing the Bot with new inputs or connecting it to another workflow.
Why Scrape MDN Web Docs Search Results?
MDN search data helps teams discover documentation pages, map API coverage, research web platform topics, collect reference URLs, and route developer documentation records into dashboards or agents.
Who Can Use This Template?
- Developer relations teams researching web API documentation.
- Content teams mapping documentation topics.
- Engineering teams collecting reference links.
- SEO teams analyzing documentation search coverage.
- Automation builders routing documentation records into reports, alerts, databases, or agents.
How Many Results Can You Scrape?
Use count to control the number of documentation records returned. Higher counts require moving through multiple search pages and may be limited by MDN's public search result window.
Automation and Export
BrowserAct returns structured MDN documentation records first. You can then use the output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows configured from the Bot's Integrations tab, or manual CSV review.
Need Help?
Contact us at
Discord: Discord Community
E-mail: service@browseract.com
