# eBay Keywords Discovery Tool (`codingfrontend/ebay-keywords-discovery-tool`) Actor An advanced, high-speed e-commerce scraper designed for real-time price monitoring and competitor intelligence. Extracts product titles, current pricing, discounts, stock availability, specifications, images, and seller ratings from eBay. Perfect for inventory tracking, drop-shipping research, an... - **URL**: https://apify.com/codingfrontend/ebay-keywords-discovery-tool.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** E-commerce, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## eBay Keywords Discovery Tool Generate hundreds of long-tail keyword suggestions from eBay's autocomplete API. Useful for product research, SEO, and eBay listing optimization. ### How It Works Uses eBay's public autocomplete endpoint (`autosug.ebay.com/autosug`) to fetch suggestions for a seed keyword. In `letters` mode, it also appends and prepends every letter A–Z to the seed keyword to generate comprehensive long-tail variants. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `seedKeyword` | string | — | **Required.** Base keyword, e.g. `iphone 15` | | `maxSuggestions` | integer | 100 | Max unique keywords to return | | `mode` | `letters` \| `seed` | `letters` | `letters` = A–Z expansion; `seed` = base only | | `siteId` | string | `0` | eBay site: `0`=US, `3`=UK, `77`=DE, `71`=FR, `101`=IT, `186`=ES | ### Output Fields | Field | Description | |-------|-------------| | `position` | Rank order | | `keyword` | Suggested keyword text | | `seedKeyword` | Original seed keyword | | `mode` | Mode used for discovery | | `siteId` | eBay site ID used | | `scrapedAt` | ISO timestamp | ### Notes - No proxy required — eBay autocomplete is publicly accessible. - `letters` mode sends ~52 requests (26 append + 26 prepend) per seed keyword. - Does not require an eBay account or API key. # Actor input Schema ## `seedKeyword` (type: `string`): The base keyword to expand on (e.g. 'iphone', 'gaming chair'). ## `maxSuggestions` (type: `integer`): Maximum number of unique keyword suggestions to return. ## `mode` (type: `string`): 'letters' = append/prepend A-Z for long-tail discovery. 'seed' = base suggestions only. ## `siteId` (type: `string`): eBay site ID. 0=US, 3=UK, 77=DE, 71=FR, 101=IT, 186=ES ## Actor input object example ```json { "seedKeyword": "iphone 15", "maxSuggestions": 100, "mode": "letters", "siteId": "0" } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/ebay-keywords-discovery-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 = {} # Run the Actor and wait for it to finish run = client.actor("codingfrontend/ebay-keywords-discovery-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 '{}' | apify call codingfrontend/ebay-keywords-discovery-tool --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/ebay-keywords-discovery-tool", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eBay Keywords Discovery Tool", "description": "An advanced, high-speed e-commerce scraper designed for real-time price monitoring and competitor intelligence. Extracts product titles, current pricing, discounts, stock availability, specifications, images, and seller ratings from eBay. Perfect for inventory tracking, drop-shipping research, an...", "version": "0.1", "x-build-id": "nGPDqknSx7W374ntQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~ebay-keywords-discovery-tool/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-ebay-keywords-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~ebay-keywords-discovery-tool/runs": { "post": { "operationId": "runs-sync-codingfrontend-ebay-keywords-discovery-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~ebay-keywords-discovery-tool/run-sync": { "post": { "operationId": "run-sync-codingfrontend-ebay-keywords-discovery-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "seedKeyword" ], "properties": { "seedKeyword": { "title": "Seed Keyword", "type": "string", "description": "The base keyword to expand on (e.g. 'iphone', 'gaming chair')." }, "maxSuggestions": { "title": "Max Suggestions", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of unique keyword suggestions to return.", "default": 100 }, "mode": { "title": "Discovery Mode", "enum": [ "letters", "seed" ], "type": "string", "description": "'letters' = append/prepend A-Z for long-tail discovery. 'seed' = base suggestions only.", "default": "letters" }, "siteId": { "title": "eBay Site", "enum": [ "0", "3", "77", "71", "101", "186" ], "type": "string", "description": "eBay site ID. 0=US, 3=UK, 77=DE, 71=FR, 101=IT, 186=ES", "default": "0" } } }, "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 } } } } } } } } } } ```