# Etsy Keyword Research Tool (`axlymxp/etsy-keyword-research-tool`) Actor Discover the keywords real buyers type on Etsy. Expand seed terms into Etsy autosuggest keywords, each enriched with competing-listing counts and live price ranges. Perfect for Etsy SEO, listing optimization, and niche research. No API key or login required. - **URL**: https://apify.com/axlymxp/etsy-keyword-research-tool.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Agents, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 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 Keyword Research Tool — Autosuggest, Competition & Price Data Find the exact search terms real buyers type on Etsy, then see how competitive each one is. Give the actor a few seed keywords and it expands them into Etsy's own autosuggest terms — each enriched with the number of competing listings and the live price range sellers are charging. Built for Etsy SEO, listing optimization, and niche discovery. **No API key, no Etsy login required.** ### What Data You Get | Field | Description | | ---------------------------- | -------------------------------------------------- | | `seed_keyword` | The seed term this keyword was expanded from | | `keyword` | An Etsy autosuggest keyword real buyers search for | | `is_seed` | Whether this row is the original seed term | | `suggestion_rank` | Order Etsy returned the suggestion in (0 = top) | | `competing_listings_count` | Total listings competing for this keyword | | `competition_level` | `low` / `medium` / `high` / `very_high` | | `min_price` / `max_price` | Price range of competing listings | | `avg_price` / `median_price` | Average and median competing price | | `currency` | Currency of the price stats | | `sample_size` | Number of listings the price stats are based on | | `scraped_at` | UTC timestamp of extraction | ### Use Cases - **Etsy SEO** — find long-tail keywords with high demand and low competition. - **Listing titles & tags** — fill all 13 Etsy tags with terms buyers actually use. - **Niche validation** — spot whether a niche is saturated before you list. - **Pricing strategy** — see the going price range for any keyword. - **Content & ads** — build keyword lists for blogs, Pinterest, and Etsy Ads. ### How to Use 1. Add one or more **seed keywords** (e.g. `personalized gift`, `candle`). 2. Choose **Max Keywords Per Seed** (default 25). 3. Keep **Include Competition & Price Data** on for the most actionable output. 4. Run. Results stream to the dataset as they are found. #### Example Input ```json { "seedKeywords": ["personalized gift", "candle"], "maxKeywordsPerSeed": 25, "includeCompetition": true, "includeSeedRow": true, "country": "US", "currency": "USD" } ```` #### Example Output ```json { "seed_keyword": "candle", "keyword": "candle holder", "is_seed": false, "suggestion_rank": 1, "competing_listings_count": 327377, "competition_level": "very_high", "min_price": 2.95, "max_price": 220.0, "avg_price": 58.4, "median_price": 34.0, "currency": "USD", "sample_size": 24, "scraped_at": "2026-06-09T00:00:00Z" } ``` ### Pricing This actor uses the **Pay Per Event** model — you are billed per keyword row returned. A typical run of 5 seeds × 25 keywords = ~125 rows. With competition data off, runs are faster and cheaper. ### Scheduling & Automation Run on a schedule to track how competition changes over time: 1. Open your run → **Schedule** tab and set a CRON expression (e.g. `0 9 * * 1` for every Monday 9am). 2. Add a **webhook** to POST new keyword data to your endpoint or Google Sheet. Or trigger via API: ``` POST https://api.apify.com/v2/acts/axlymxp~etsy-keyword-research-tool/runs Authorization: Bearer YOUR_API_TOKEN ``` ### Use with AI Agents (MCP) This actor is available on Apify's MCP Server. Connect it to Claude, ChatGPT, or any AI agent to answer questions like *"what low-competition keywords exist for handmade jewelry?"* with live Etsy data. ### FAQ **Does this need an Etsy API key?** No. It uses Etsy's public autosuggest and search data — no key or login. **Where do the keywords come from?** Directly from Etsy's own search autosuggest, so they reflect real buyer searches. **What does competition\_level mean?** A bucket based on competing listing count: low (<1k), medium (<10k), high (<100k), very\_high (≥100k). **Can I disable the price/competition lookup?** Yes — turn off *Include Competition & Price Data* for faster, cheaper runs that return keywords only. **Which countries and currencies are supported?** Any Etsy ship-to country code and currency (US/USD by default). # Actor input Schema ## `seedKeywords` (type: `array`): One or more seed terms to expand into Etsy autosuggest keywords (e.g. 'personalized gift', 'candle'). ## `maxKeywordsPerSeed` (type: `integer`): How many autosuggest terms to expand from each seed keyword. ## `includeCompetition` (type: `boolean`): For each keyword, fetch the number of competing listings and the live price range. Slower but far more actionable. ## `includeSeedRow` (type: `boolean`): Also emit a row for each original seed keyword, not just its expansions. ## `country` (type: `string`): Country code used for competition pricing (e.g. US, GB, CA, AU, DE). ## `currency` (type: `string`): Currency code for the reported price statistics. ## Actor input object example ```json { "seedKeywords": [ "personalized gift", "candle" ], "maxKeywordsPerSeed": 25, "includeCompetition": true, "includeSeedRow": 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 = { "seedKeywords": [ "personalized gift", "candle" ] }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/etsy-keyword-research-tool").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 = { "seedKeywords": [ "personalized gift", "candle", ] } # Run the Actor and wait for it to finish run = client.actor("axlymxp/etsy-keyword-research-tool").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 '{ "seedKeywords": [ "personalized gift", "candle" ] }' | apify call axlymxp/etsy-keyword-research-tool --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/etsy-keyword-research-tool", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Etsy Keyword Research Tool", "description": "Discover the keywords real buyers type on Etsy. Expand seed terms into Etsy autosuggest keywords, each enriched with competing-listing counts and live price ranges. Perfect for Etsy SEO, listing optimization, and niche research. No API key or login required.", "version": "1.0", "x-build-id": "txDitsu3ZoU3SEOxb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~etsy-keyword-research-tool/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-etsy-keyword-research-tool", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~etsy-keyword-research-tool/runs": { "post": { "operationId": "runs-sync-axlymxp-etsy-keyword-research-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~etsy-keyword-research-tool/run-sync": { "post": { "operationId": "run-sync-axlymxp-etsy-keyword-research-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "seedKeywords" ], "properties": { "seedKeywords": { "title": "Seed Keywords", "type": "array", "description": "One or more seed terms to expand into Etsy autosuggest keywords (e.g. 'personalized gift', 'candle').", "items": { "type": "string" } }, "maxKeywordsPerSeed": { "title": "Max Keywords Per Seed", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many autosuggest terms to expand from each seed keyword.", "default": 25 }, "includeCompetition": { "title": "Include Competition & Price Data", "type": "boolean", "description": "For each keyword, fetch the number of competing listings and the live price range. Slower but far more actionable.", "default": true }, "includeSeedRow": { "title": "Include Seed Keyword Row", "type": "boolean", "description": "Also emit a row for each original seed keyword, not just its expansions.", "default": true }, "country": { "title": "Ship-To Country", "type": "string", "description": "Country code used for competition pricing (e.g. US, GB, CA, AU, DE).", "default": "US" }, "currency": { "title": "Currency", "type": "string", "description": "Currency code for the reported price statistics.", "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 } } } } } } } } } } ```