# Etsy Trending Products Tracker (`axlymxp/etsy-trending-products-tracker`) Actor Track which Etsy products are gaining popularity fastest. Monitors keywords across scheduled runs and ranks listings by favorites velocity, plus bestseller and top-rated signals. Built for dropshippers and product researchers hunting the next bestseller. No API key or login required. - **URL**: https://apify.com/axlymxp/etsy-trending-products-tracker.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Agents, Automation, E-commerce - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Etsy Trending Products Tracker — Find Rising Bestsellers Before They Peak Most Etsy scrapers show you what is _already_ popular. This actor shows you what is _becoming_ popular. It monitors your chosen keywords across scheduled runs and ranks listings by **favorites velocity** — how fast each product is gaining favorites between runs — alongside Etsy's Bestseller and Top-Rated signals. Built for dropshippers, arbitrage sellers, and product researchers hunting tomorrow's bestseller today. **No API key, no Etsy login required.** ### How It Works The actor stores a snapshot of each listing's favorites and review counts every run. On the next run it compares the new numbers to the last snapshot and computes growth velocity. **Run it on a schedule** (daily or weekly) — the trending score becomes meaningful from the second run onward. ### What Data You Get | Field | Description | | ------------------------------- | --------------------------------------------------- | | `listing_id`, `title`, `url` | Listing identity and direct link | | `shop_name`, `shop_url` | Seller info | | `price`, `currency` | Current price | | `favorites` | Current favorites count | | `previous_favorites` | Favorites at the last run | | `favorites_delta` | Favorites gained since last run | | `favorites_per_day` | Growth velocity (the trending signal) | | `review_count`, `reviews_delta` | Shop review count and its change | | `is_bestseller`, `is_top_rated` | Etsy badges | | `popularity_score` | Absolute popularity (useful on first run) | | `trending_score` | Favorites gained per day (`null` on first sighting) | | `is_new` | First time this listing was seen | | `first_seen_at`, `scraped_at` | Tracking timestamps | ### Use Cases - **Product research** — surface fast-rising items before the market saturates. - **Dropshipping & arbitrage** — find winning products early. - **Trend monitoring** — watch a niche and get a velocity report each week. - **Competitor watch** — see which of a rival's listings are taking off. ### How to Use 1. Add **keywords / niches** to monitor (e.g. `personalized necklace`). 2. Set **Max Listings Per Keyword** (default 50). 3. Keep **Fetch Per-Listing Favorites** on (required for velocity). 4. **Schedule** the actor to run daily or weekly so it can measure growth. #### Example Input ```json { "keywords": ["personalized necklace", "wall art"], "maxListingsPerKeyword": 50, "minFavorites": 50, "fetchFavorites": true, "country": "US", "currency": "USD" } ```` #### Example Output ```json { "listing_id": 1234567890, "title": "Personalized Birth Flower Necklace", "url": "https://www.etsy.com/listing/1234567890", "shop_name": "ShopName", "price": 28.99, "currency": "USD", "favorites": 2451, "previous_favorites": 2110, "favorites_delta": 341, "favorites_per_day": 48.7, "review_count": 3727, "reviews_delta": 37, "is_bestseller": true, "is_top_rated": false, "popularity_score": 2951, "trending_score": 48.7, "is_new": false, "keyword": "personalized necklace", "first_seen_at": "2026-06-01T00:00:00Z", "scraped_at": "2026-06-09T00:00:00Z" } ``` ### Pricing Pay Per Event — billed per listing row returned. Tip: use `minFavorites` to skip low-interest listings and keep runs lean. ### Scheduling & Automation The actor is **designed to run on a schedule** — that is how it measures trends. 1. Open your run → **Schedule** tab, set a CRON expression (e.g. `0 8 * * *` for daily 8am). 2. Add a **webhook** to POST trending items to Slack, a sheet, or your app. ``` POST https://api.apify.com/v2/acts/axlymxp~etsy-trending-products-tracker/runs Authorization: Bearer YOUR_API_TOKEN ``` ### Use with AI Agents (MCP) Available on Apify's MCP Server — connect to Claude or ChatGPT and ask *"what's trending in handmade jewelry this week?"* with live data. ### FAQ **Why is trending\_score null on my first run?** Velocity needs two data points. The first run records a baseline; from the second run onward you get real favorites-per-day growth. **Does it remember data between runs?** Yes. Snapshots are stored in a named key-value store that persists across scheduled runs. **Do I need an Etsy API key?** No. It uses Etsy's public search and listing data. **How often should I run it?** Daily or weekly works best. More frequent runs give finer-grained velocity. # Actor input Schema ## `keywords` (type: `array`): Search terms or niches to track over time (e.g. 'personalized necklace', 'wall art'). ## `maxListingsPerKeyword` (type: `integer`): How many top listings to check per keyword each run. ## `minFavorites` (type: `integer`): Only emit listings with at least this many favorites. ## `fetchFavorites` (type: `boolean`): Fetch each listing's favorites count (required for velocity / trending score). Slower but far more useful. ## `country` (type: `string`): Country code for search results (e.g. US, GB, CA, AU, DE). ## `currency` (type: `string`): Currency code for prices. ## Actor input object example ```json { "keywords": [ "personalized necklace", "wall art" ], "maxListingsPerKeyword": 50, "minFavorites": 0, "fetchFavorites": true, "country": "US", "currency": "USD" } ``` # 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 = { "keywords": [ "personalized necklace", "wall art" ] }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/etsy-trending-products-tracker").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 = { "keywords": [ "personalized necklace", "wall art", ] } # Run the Actor and wait for it to finish run = client.actor("axlymxp/etsy-trending-products-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "personalized necklace", "wall art" ] }' | apify call axlymxp/etsy-trending-products-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/etsy-trending-products-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Etsy Trending Products Tracker", "description": "Track which Etsy products are gaining popularity fastest. Monitors keywords across scheduled runs and ranks listings by favorites velocity, plus bestseller and top-rated signals. Built for dropshippers and product researchers hunting the next bestseller. No API key or login required.", "version": "1.0", "x-build-id": "caS8QQeyKeEboP861" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~etsy-trending-products-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-etsy-trending-products-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~etsy-trending-products-tracker/runs": { "post": { "operationId": "runs-sync-axlymxp-etsy-trending-products-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~etsy-trending-products-tracker/run-sync": { "post": { "operationId": "run-sync-axlymxp-etsy-trending-products-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords / Niches to Monitor", "type": "array", "description": "Search terms or niches to track over time (e.g. 'personalized necklace', 'wall art').", "items": { "type": "string" } }, "maxListingsPerKeyword": { "title": "Max Listings Per Keyword", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many top listings to check per keyword each run.", "default": 50 }, "minFavorites": { "title": "Minimum Favorites", "minimum": 0, "type": "integer", "description": "Only emit listings with at least this many favorites.", "default": 0 }, "fetchFavorites": { "title": "Fetch Per-Listing Favorites", "type": "boolean", "description": "Fetch each listing's favorites count (required for velocity / trending score). Slower but far more useful.", "default": true }, "country": { "title": "Ship-To Country", "type": "string", "description": "Country code for search results (e.g. US, GB, CA, AU, DE).", "default": "US" }, "currency": { "title": "Currency", "type": "string", "description": "Currency code for prices.", "default": "USD" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```