End-to-end automation that fetches Google News RSS feeds, decodes encoded article URLs, cleans them, and outputs a ready-to-use list of direct article links for downstream automation.
The AI agent fetches Google News RSS feeds using predefined language and country parameters. It decodes the encoded article URLs and removes tracking parameters. It aggregates the results into a single list of clean, direct links suitable for sharing, indexing, or feeding other automation.
Decodes encoded Google News links and outputs clean, readable URLs for downstream automation.
Fetches Google News RSS feeds with region-based parameters.
Limits results to control API usage.
Extracts encoded URLs from RSS entries.
Decodes URLs to reveal direct article links.
Removes tracking parameters and unwanted characters.
Aggregates and exports a final list of clean links.
Two sentences explaining practical reasons to adopt the AI agent, focusing on concrete workflow pain points and outcomes.
A simple 3-step AI agent flow for non-technical users.
Retrieve the Google News RSS feed using region and language parameters (hl, gl) and apply a max results cap to minimize requests.
Parse encoded URLs from the feed, decode them to reveal the original article URLs, and remove tracking parameters.
Collect the cleaned URLs into a list or export format (CSV/Sheets) for downstream automation.
One realistic scenario.
Scenario: A content team wants 20 latest US English Google News articles about AI each morning. Time window: 2 minutes. Outcome: A CSV with 20 clean direct article URLs ready to import into a newsletter CMS or spreadsheet for quick sharing.
Who benefits from this AI agent in daily workflows.
Needs clean article URLs for citations, newsletters, and quick sharing.
Curates reliable links without clutter from tracking parameters.
Wants consistent, ready-to-use URLs for pipelines and dashboards.
Requires clean inputs for analysis without broken links.
Prefers compact, shareable links for editorial calendars.
Needs uniform URLs for tracking and indexing in reports.
Tools and services used inside the AI agent workflow.
Fetches the Google News RSS feed based on configured hl and gl parameters.
Parses the feed to locate encoded URLs within each item.
Decodes encoded URLs to reveal the original article links.
Removes tracking parameters and normalizes URL formatting.
Exports the cleaned links to CSV or Google Sheets for downstream use.
Practical scenarios for applying this AI agent.
Common questions and practical answers.
You provide region parameters (hl and gl) and an optional max results limit. The AI agent uses these to fetch the RSS feed and constrain the number of items processed. It does not require code changes and can run as part of an automated AI agent workflow. If inputs are missing, it falls back to sensible defaults. Outputs are a clean list of URLs suitable for downstream systems.
Yes. The AI agent supports hl (language) and gl (region) parameters to filter the feed. You can adjust these values to match your target audience. Changes are reflected in the fetch step and subsequent decoding results. This ensures regional relevance without manual post-processing.
The AI agent applies a URL decoding process to the encoded query parameters found in Google News RSS items. It handles common percent-encoding and nested redirect patterns used by Google. If a URL cannot be decoded, it is logged for inspection and excluded from the final list. The approach preserves the original article URL while removing extraneous parameters.
Clean URLs are suitable for newsletters, CMS imports, dashboards, data pipelines, and SEO reports. They can be stored in spreadsheets, databases, or content management systems without noisy parameters. The AI agent can export to CSV or Google Sheets for immediate use. You can also feed them into downstream automation tasks.
If decoding fails for a given item, the URL is skipped and logged for manual review. The rest of the feed continues to process normally. This ensures resilience and prevents a single corrupted link from breaking the entire output. You can configure alerting for failed decodings if desired.
Yes. The AI agent can export the cleaned URLs to Google Sheets, CSV, or a database insert step in downstream automation. This enables easy sharing and integration with existing data workflows. You can schedule regular exports or trigger exports from other events. The format is kept consistent for reliable downstream processing.
Performance depends on feed size and network latency. With a typical RSS feed of a few dozen items, the AI agent completes decoding and export within seconds to a couple of minutes. It applies rate limits to avoid excessive API usage and shares results as a ready-to-use list. For larger batches, processing time scales linearly with the item count.
End-to-end automation that fetches Google News RSS feeds, decodes encoded article URLs, cleans them, and outputs a ready-to-use list of direct article links for downstream automation.
