# E-Commerce Universal Product & Price Extractor (`trusted_tech_spot/ecommerce-product-extractor`) Actor Extracts real-time structured product details, price, discount, availability, stock, rating, SKU, and specs from any online store or product URL (Shopify, Amazon, WooCommerce, etc.). - **URL**: https://apify.com/trusted_tech_spot/ecommerce-product-extractor.md - **Developed by:** [David Sandor](https://apify.com/trusted_tech_spot) (community) - **Categories:** E-commerce, MCP servers, AI - **Stats:** 1 total users, 1 monthly users, 57.1% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.70 / 1,000 extracted product records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## E-Commerce Universal Product & Price Extractor 🚀 [![Apify Actor](https://img.shields.io/badge/Apify-Actor-orange.svg?style=flat-square)](https://apify.com/trusted_tech_spot/ecommerce-product-extractor) [![Pay Per Event](https://img.shields.io/badge/Pricing-Pay%20Per%20Result-green.svg?style=flat-square)](https://apify.com/trusted_tech_spot/ecommerce-product-extractor) [![Zero Maintenance](https://img.shields.io/badge/Maintenance-Zero%20Maintenance-blue.svg?style=flat-square)](https://apify.com/trusted_tech_spot/ecommerce-product-extractor) [![RAG Ready](https://img.shields.io/badge/AI%20%2F%20RAG-Token%20Chunking%20Included-purple.svg?style=flat-square)](https://apify.com/trusted_tech_spot/ecommerce-product-extractor) Extracts real-time structured product details, price, discount, availability, stock, rating, SKU, and specs from any online store or product URL (Shopify, Amazon, WooCommerce, etc.). > ⚡ **Try it in 1-Click**: Click the **Run** or **Try for Free** button on the right to test this Actor immediately with pre-configured parameters. No technical setup, passwords, or API keys required! > 🎁 **Free Starter Allowance**: Test runs cost less than a fraction of a cent ($0.0001 container fee) so you can run test queries risk-free with your monthly Apify starter credits.
View Input Tab    Run Actor Free

⚡ 1-Click Instant Run • 🎁 Free Starter Tier ($0.0001) • 🚀 Results in < 2s

🌏 支持出海跨境与全球数据采集 • 免代理 / 免登录 / 免验证码 • 一键导出 Excel / CSV / JSON

💡 Tip / 提示: Click the "Input" tab at the top of this page (or "Try for free") to see the pre-filled 1-click form! (点击页面上方的 Input 标签页即可查看已填好的默认参数并一键运行)

Make.com Zapier n8n LangChain Google Sheets
*** #### ⚡ 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): ```bash ## 1-Click cURL Instant Run (Replace YOUR_APIFY_TOKEN) curl -X POST "https://api.apify.com/v2/acts/trusted_tech_spot~ecommerce-product-extractor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{}' ``` *** ### 🌟 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. *** > 💡 **国内/跨境电商用户快速上手 (Quick Guide for China & Cross-Border Teams)**: > > 1. 本工具已内置自动抗封锁与动态解析，**无需配置任何国外代理 (No Proxy Needed)**，亦无需提供个人手机号或 Cookie 凭据。 > 2. 点击右侧或上方 **"Run"** 或 **"Try for free"**，使用系统自带的预设参数即可在 2 秒内完成首批数据提取测试。 > 3. 支持在控制台直接导出 **Excel、CSV、JSON** 等全格式数据，或无缝对接 Python / Node.js API。 *** ### 🚀 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. *** ### 📥 Input Parameters All parameters come pre-filled with sensible defaults so you can run the Actor right away: | Parameter | Type | Required | Default / Prefill | Description | |:---|:---|:---:|:---:|:---| | **Target URL** (`url`) | `string` | No | `"https://www.apple.com/shop/buy-iphone/iphone-16"` | The product page URL (e.g. Amazon, Shopify store, eBay, etc.) | | **Extract Full Image Gallery** (`extractGallery`) | `boolean` | No | `true` | Extract all additional product gallery images | | **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) | *** ### 📤 Sample Output Data Data is saved directly to the default dataset. Below is a realistic example of the structured fields returned: ```json { "title": "Sample title", "brand": "Sample brand", "sku": "Sample sku", "price": 42, "originalPrice": 42, "currency": "Sample currency", "discountPct": 42, "inStock": true, "rating": 42, "reviewCount": 42, "mainImage": "Sample mainImage", "images": [ "Sample Record 1", "Sample Record 2" ], "features": [ "Sample Record 1", "Sample Record 2" ], "description": "Sample description", "storeType": "Sample storeType", "_sentimentScore": 0.25, "_rag": { "estimatedTokens": 380, "chunksCount": 1, "ingestionReady": true } } ``` *** ### 💻 Developer API & AI Framework Integration #### Node.js (`apify-client`) ```javascript 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/ecommerce-product-extractor').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`) ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") ## Run actor with default parameters run = client.actor("trusted_tech_spot/ecommerce-product-extractor").call() ## Fetch dataset items items = client.dataset(run["defaultDatasetId"]).list_items().items print(f"Extracted {len(items)} records:", items) ``` #### LangChain Vector Ingestion (AI & RAG) ```python 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/ecommerce-product-extractor").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": "ecommerce-product-extractor"})) ## 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 ```python from apify_client import ApifyClient from llama_index.core import VectorStoreIndex, Document client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("trusted_tech_spot/ecommerce-product-extractor").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) ``` *** ### 🔗 Related Automations (Cross-Border E-Commerce, Amazon FBA & Price Intelligence Fleet) Explore our specialized high-speed micro-scrapers and cross-border intelligence tools from the **trusted_tech_spot** fleet: - [**Amazon FBA Bestsellers & Arbitrage Price Tracker** (`amazon-fba-bestsellers-arbitrage-scraper`)](https://apify.com/trusted_tech_spot/amazon-fba-bestsellers-arbitrage-scraper) — Track Amazon FBA bestseller ranks, buy-box arbitrage spreads, and high-margin ASINs. - [**Amazon Price Drop & Lightning Deals Tracker** (`amazon-price-drop-deals-tracker`)](https://apify.com/trusted_tech_spot/amazon-price-drop-deals-tracker) — Monitor live Amazon price drops, lightning deals, warehouse discounts, and stock alerts. - [**AliExpress Products & Suppliers Scraper 速卖通商品采集** (`aliexpress-products-suppliers-scraper`)](https://apify.com/trusted_tech_spot/aliexpress-products-suppliers-scraper) — Extract AliExpress dropshipping products, supplier ratings, order volume, and pricing. - [**Alibaba B2B Suppliers & Factory Scraper 阿里国际站采集** (`alibaba-b2b-suppliers-manufacturers-scraper`)](https://apify.com/trusted_tech_spot/alibaba-b2b-suppliers-manufacturers-scraper) — Scrape verified Alibaba B2B factories, MOQ wholesale pricing, and manufacturer leads. - [**SHEIN Trending Products & Prices Scraper 希音选品采集** (`shein-fashion-trends-products-scraper`)](https://apify.com/trusted_tech_spot/shein-fashion-trends-products-scraper) — Extract trending SHEIN fashion apparel, SKUs, retail pricing, and consumer review velocity. - [**Shopee & Lazada SEA E-Commerce Scraper 东南亚电商采集** (`lazada-shopee-southeast-asia-scraper`)](https://apify.com/trusted_tech_spot/lazada-shopee-southeast-asia-scraper) — Scrape Shopee & Lazada Southeast Asia e-commerce products, flash sales, and seller metrics. - [**Amazon Product & ASIN Scraper (Live Prices)** (`fast-amazon-product-scraper`)](https://apify.com/trusted_tech_spot/fast-amazon-product-scraper) — High-speed Amazon ASIN, live pricing, stock status, and product review intelligence. *** ### 💬 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](https://console.apify.com/actors/trusted_tech_spot/ecommerce-product-extractor/issues) 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. *** ### 🔒 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. # Actor input Schema ## `url` (type: `string`): The product page URL (e.g. Amazon, Shopify store, eBay, etc.) (输入搜索词或目标网址，或保持默认值直接点击 Start 运行) ## `extractGallery` (type: `boolean`): Extract all additional product gallery images ## `includeKeywords` (type: `string`): Filter results to only include items containing these comma-separated keywords ## `excludeKeywords` (type: `string`): Filter out results containing these comma-separated keywords ## `enableRagEnrichment` (type: `boolean`): Automatically compute OpenAI token counts and generate semantic vector chunks for RAG pipelines ## `outputFormat` (type: `string`): Format results for preferred downstream consumer (e.g. JSON, Markdown, Flat) ## Actor input object example ```json { "url": "https://www.apple.com/shop/buy-iphone/iphone-16", "extractGallery": true, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": true, "outputFormat": "JSON" } ``` # Actor output Schema ## `dataset` (type: `string`): Structured output and extracted data from E-Commerce Universal Product & Price Extractor # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://www.apple.com/shop/buy-iphone/iphone-16", "extractGallery": true, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": true, "outputFormat": "JSON" }; // Run the Actor and wait for it to finish const run = await client.actor("trusted_tech_spot/ecommerce-product-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "url": "https://www.apple.com/shop/buy-iphone/iphone-16", "extractGallery": True, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": True, "outputFormat": "JSON", } # Run the Actor and wait for it to finish run = client.actor("trusted_tech_spot/ecommerce-product-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://www.apple.com/shop/buy-iphone/iphone-16", "extractGallery": true, "includeKeywords": "", "excludeKeywords": "", "enableRagEnrichment": true, "outputFormat": "JSON" }' | apify call trusted_tech_spot/ecommerce-product-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,trusted_tech_spot/ecommerce-product-extractor" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/oiMV7lCdR36e5HXfS/builds/mMZclKCUFvBExc8ni/openapi.json