Universal RSS & Podcast XML Feed Normalizer 🚀

Parses and normalizes any RSS, Atom, or Podcast XML feed into clean structured JSON. Extracts audio enclosures, durations, authors, episode notes, and full article contents.

⚡ Instant Data Scraper Guarantee (No Setup Required):

• 🟢 Zero-Config: No proxies, browser extensions, or account logins needed.
• 🚀 1-Click Free Test: Just click the green "Save & Start" button with the pre-filled inputs to test live data extraction in < 3 seconds.
• 📊 Instant Export: Download verified leads and records directly to Excel, CSV, or JSON.
• 🇺🇸 US & Global High-Speed Coverage: Clean structured outputs optimized for CRM, AI agents, and Google Sheets.

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⚡ 1-Click API Quick-Start (cURL / Python / Dify / FastGPT / Coze)

Run directly via HTTP API without opening the browser form (支持直接通过 API 调用，无缝接入 Dify、Coze、FastGPT 与自动化脚本):

# 1-Click cURL Instant Run (Replace YOUR_APIFY_TOKEN)
curl -X POST "https://api.apify.com/v2/acts/trusted_tech_spot~rss-podcast-feed-normalizer/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

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⚡ Ready-to-Run Input Preview (Zero Configuration Required)

You don't need to write code or configure complex parameters. The Actor comes completely pre-configured:

Setting	What You Provide	Default Value (Ready to Run)	Quick Link
RSS / Podcast Feed URL	Any target keyword, city, or URL	"https://feeds.bbci.co.uk/news/technology/rss.xml"	👉 Run with Default Values
Maximum Results	Number of items to harvest	10 (Sub-2s quick test)	👉 Open Input Tab

💡 Tip: Click the green button below or the "Input" tab at the top of the page to launch your test immediately.

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🌟 Why Choose This Actor?

📊 No-Code Instant Export: Download your clean extracted data directly into Excel (.xlsx), CSV, JSON, or sync directly to Google Sheets with 1 click right from the Apify Console dataset tab. No coding required!

• ⚡ High-Speed & Resilient Extraction: Engineered with intelligent rate adaptation and defensive fallbacks to eliminate downtime or captchas.
• 💰 Predictable Pay-Per-Result Pricing: Only pay for the actual records extracted. Never pay for actor startup overhead, cold starts, or container idle seconds.
• 🧠 AI & RAG Ready: Seamlessly feeds vector databases (Pinecone, Qdrant, ChromaDB, Weaviate) and LLM agents with pre-calculated OpenAI token counts and semantic chunking.
• 🎯 Native Keyword Filtering: Target exact records automatically with includeKeywords and excludeKeywords without client-side post-processing.
• 📊 Instant Multi-Format Export: One-click download into JSON, CSV, Excel, XML, or HTML Table directly from Apify Console or API.

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🎯 Common High-Impact Use Cases

• 💼 Lead Generation & Sales Outreach: Extract clean business records with direct contact information and export to Excel/CSV for cold outreach.
• 📈 Market Intelligence & Price Monitoring: Track live pricing, discount trends, review sentiment, and stock levels without rate limits.
• 🤖 AI & LLM Pipeline Ingestion: Feed clean, sanitized JSON directly into vector databases (Pinecone, ChromaDB) or AI agent frameworks (LangChain, Dify, Coze).
• ⚡ One-Click Turnkey Automation: Schedule recurring weekly runs or trigger via webhook with zero maintenance.

🚀 How to Run in 3 Easy Steps

1. Open the Actor: Click the Run button on the top right of this page.
2. Review or Adjust Inputs: The form is organized into clean visual sections (Primary Settings, Filtering, and AI Vector Options). Run it with default values or customize to your target.
3. Download Results: View your extracted dataset in real time and export it to Excel, CSV, or JSON.

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📥 Input Parameters

All parameters come pre-filled with sensible defaults so you can run the Actor right away:

Parameter	Type	Required	Default / Prefill	Description
RSS / Podcast Feed URL (feedUrl)	string	No	"https://feeds.bbci.co.uk/news/technology/rss.xml"	The URL of the RSS, Atom, or Podcast feed (e.g. https://feeds.bbci.co.uk/news/technology/rss.xml)
Maximum Records to Fetch (limit)	integer	No	25	Maximum number of recent items/episodes to extract
Include Keywords (Filter) (includeKeywords)	string	No	""	Filter results to only include items containing these comma-separated keywords
Exclude Keywords (Filter) (excludeKeywords)	string	No	""	Filter out results containing these comma-separated keywords
Enable AI / RAG Token Chunking (enableRagEnrichment)	boolean	No	true	Automatically compute OpenAI token counts and generate semantic vector chunks for RAG pipelines
Preferred Output Format (outputFormat)	string	No	"JSON"	Format results for preferred downstream consumer (e.g. JSON, Markdown, Flat)

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📤 Sample Output Data

Data is saved directly to the default dataset. Below is a realistic example of the structured fields returned:

{
  "feedUrl": "Sample feedUrl",
  "feedType": "Sample feedType",
  "title": "Sample title",
  "description": "Sample description",
  "link": "Sample link",
  "language": "Sample language",
  "isPodcast": true,
  "itemCount": 42,
  "items": [
    "Sample Record 1",
    "Sample Record 2"
  ],
  "_sentimentScore": 0.25,
  "_rag": {
    "estimatedTokens": 380,
    "chunksCount": 1,
    "ingestionReady": true
  }
}

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💻 Developer API & AI Framework Integration

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

// Run actor with pre-configured parameters
const run = await client.actor('trusted_tech_spot/rss-podcast-feed-normalizer').call();

// Fetch structured items from the dataset
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} records:`, items);

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

# Run actor with default parameters
run = client.actor("trusted_tech_spot/rss-podcast-feed-normalizer").call()

# Fetch dataset items
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(items)} records:", items)

LangChain Vector Ingestion (AI & RAG)

from apify_client import ApifyClient
from langchain_community.vectorstores import Chroma
from langchain_openai import OpenAIEmbeddings
from langchain_core.documents import Document

# 1. Fetch pre-chunked dataset from Apify
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("trusted_tech_spot/rss-podcast-feed-normalizer").call()
items = client.dataset(run["defaultDatasetId"]).list_items().items

# 2. Extract semantic chunks directly into LangChain documents
docs = []
for item in items:
    chunks = item.get("_rag", {}).get("chunks", [str(item)])
    for chunk in chunks:
        docs.append(Document(page_content=chunk, metadata={"source": "rss-podcast-feed-normalizer"}))

# 3. Ingest into ChromaDB / Pinecone vector store
vector_store = Chroma.from_documents(docs, OpenAIEmbeddings())
print(f"Successfully indexed {len(docs)} chunks into Vector DB!")

LlamaIndex Knowledge Ingestion

from apify_client import ApifyClient
from llama_index.core import VectorStoreIndex, Document

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("trusted_tech_spot/rss-podcast-feed-normalizer").call()
items = client.dataset(run["defaultDatasetId"]).list_items().items

# Wrap clean extracted text into LlamaIndex documents
documents = [Document(text=str(item)) for item in items]
index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()
response = query_engine.query("Summarize key findings from this extracted data")
print(response)

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🔗 Related Automations (Flagship Niche Scrapers & High-Speed Intelligence Fleet)

Explore our specialized high-speed micro-scrapers and cross-border intelligence tools from the trusted_tech_spot fleet:

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• Xiaohongshu (REDnote) Posts Scraper 小红书笔记与爆款采集 (xiaohongshu-rednote-posts-trends-scraper) — Extract Xiaohongshu (REDnote) viral notes, KOL engagement metrics, and trending lifestyle tags.
• TikTok Trending Hashtags & Viral Sounds Scraper (tiktok-trending-hashtags-sounds-scraper) — Scrape viral TikTok hashtags, trending sounds, creator growth metrics, and video views.
• Remote Tech Jobs & Compensation Salary Scraper (remote-tech-jobs-salary-scraper) — Extract high-paying remote developer, AI engineer, and DevOps jobs with verified salary bands.

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💬 Technical Support & Custom Demands

Need custom extraction fields, high-volume dedicated scraping, enterprise data feeds, or encountered an edge-case?

• 🐛 Open an Issue: Open a ticket directly on the Actor Issues Tab for 24-hour engineer response.
• ✉️ Direct Email Support: Reach out directly to contact@trustedtechspot.com for custom scraping jobs, private proxy setups, or SLA contracts.
• 💡 Feature Requests: Request new export columns, filtering rules, or platform endpoints anytime.

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🔒 Privacy & Enterprise Compliance

• No Passwords or Cookies Required: Safely executes without requesting your credentials, private tokens, or session cookies.
• Enterprise Grade Sanitization: Automatically scrubs sensitive headers and tracking parameters before saving data.

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🏷️ Search & Discovery Keywords

instant data scraper • google maps scraper • contact leads finder • b2b data enrichment • us business scraper • real-time data extraction • apify actor • fast scrapers 2026