# Mercari Scraper - Listings, Prices & Sellers (`jongoose/mercari-scraper`) Actor Scrape Mercari US search results into structured data: item id, title, price, brand, size, condition, category, seller id, status, photo and item URL. Search by keyword or paste Mercari URLs. Reads Mercari's own GraphQL API - no HTML scraping. - **URL**: https://apify.com/jongoose/mercari-scraper.md - **Developed by:** [James Scott](https://apify.com/jongoose) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## Mercari Scraper - Listings, Prices & Sellers Scrape **product listings from [Mercari US](https://www.mercari.com)** into clean, structured data - no Mercari account or API key required. Search by keyword or paste Mercari search URLs and get item id, title, price, brand, size, condition, category, seller id, status, photo and the canonical item URL. ### What you get (per item) - **itemId** and canonical **mercari.com/us/item/{id}/** URL - **title**, **price** (USD) + raw `priceCents`, `originalPrice` - **brand** (+ brandId), **size**, **itemCondition** (New / Like new / Good / Fair / Poor) + `conditionId` - **category** (+ `categoryId`), `topCategory` and a readable `categoryPath` (e.g. `Electronics > Video games & consoles > Consoles`) - **status** (`on_sale`, `trading`, `sold_out`) and an `isSold` flag - **sellerId** - **photoUrl** (primary photo) + `thumbnailUrl` - `promoted` flag, `countrySource`, `currency` > **Not included on search results (by design):** the seller's *display name* and the item's *like count* are not part of Mercari's search response - fetching them would require a separate request per item, which this Actor skips for speed and cost. Both fields are present in the output schema (`sellerName`, `numLikes`) but `null` on search runs. `size` is naturally empty for items that have no size (games, electronics) and populated for fashion (e.g. `M (8-10)`). ### Input - **Mercari URLs** *(optional)* - paste one or more search URLs (e.g. `https://www.mercari.com/search/?keyword=nintendo%20switch`). A keyword is derived from each URL's `?keyword=` param or last path segment. - **Search keyword** *(optional)* - e.g. `nintendo switch`, `lululemon leggings`, `pokemon cards`. Used when no URL is given. - **Sort order** - Best match, Newest, Price low→high, Price high→low, Most liked. - **Max items** - caps the run. - **Proxy** - **residential recommended** (see below). #### Example input ```json { "query": "nintendo switch", "sort": "newest", "maxItems": 300, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` Or paste URLs directly: ```json { "startUrls": [{ "url": "https://www.mercari.com/search/?keyword=lululemon%20leggings" }], "maxItems": 100 } ``` ### Why this actor - **Reads Mercari's own GraphQL API** (`/v1/api` `searchFacetQuery`), not fragile CSS selectors - every field comes straight from structured JSON, so records are complete and the parser survives site redesigns. - **No account, no login:** an anonymous guest token is minted automatically per run (`/v1/initialize`). - **Fast + cheap:** items are read in bulk pages (100 per request) with **no per-item detail requests**; de-duplicated by item id, prices normalized to dollars, UTF-8 cleaned. - **Clean paginating output:** offset pagination with automatic de-duplication of Mercari's repeated promoted items; stops on the last page or once `maxItems` is reached. Export as JSON, CSV, or Excel, or pull via the Apify API. Great for resellers and flippers doing **price research, sold-comps and inventory monitoring**, and for lead/catalog building. ### Proxy - residential recommended Mercari sits behind Cloudflare and runs its own bot scoring, so this Actor **defaults to an Apify RESIDENTIAL proxy**. Datacenter IPs may work for light use but get soft-blocked at volume. If a run comes back empty/blocked, confirm the proxy is set to residential and re-run to draw fresh IPs. ### Legal Public marketplace data for **research**. This is **not a consumer report** and **must not be used for FCRA purposes** (e.g. eligibility for credit, employment, insurance, or housing). Respect Mercari's Terms of Service and applicable law. # Actor input Schema ## `startUrls` (type: `array`): Optional. Paste one or more Mercari search URLs (e.g. https://www.mercari.com/search/?keyword=nintendo%20switch). A keyword is derived from each URL's ?keyword= parameter or its last path segment. Leave empty to use the Search keyword below. ## `query` (type: `string`): Keyword to search Mercari for, e.g. "nintendo switch", "lululemon leggings", "pokemon cards". Used when no Start URL is provided. Leave everything empty to browse the feed. ## `sort` (type: `string`): How Mercari should sort the results. ## `maxItems` (type: `integer`): Stop after collecting this many items. ## `proxyConfiguration` (type: `object`): Mercari sits behind Cloudflare and its own bot scoring, so a RESIDENTIAL proxy is recommended - datacenter IPs get soft-blocked at volume. Defaults to Apify residential; leave it as residential for reliable results. ## Actor input object example ```json { "startUrls": [], "query": "nintendo switch", "sort": "best_match", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [], "query": "nintendo switch" }; // Run the Actor and wait for it to finish const run = await client.actor("jongoose/mercari-scraper").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 = { "startUrls": [], "query": "nintendo switch", } # Run the Actor and wait for it to finish run = client.actor("jongoose/mercari-scraper").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 '{ "startUrls": [], "query": "nintendo switch" }' | apify call jongoose/mercari-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jongoose/mercari-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mercari Scraper - Listings, Prices & Sellers", "description": "Scrape Mercari US search results into structured data: item id, title, price, brand, size, condition, category, seller id, status, photo and item URL. Search by keyword or paste Mercari URLs. Reads Mercari's own GraphQL API - no HTML scraping.", "version": "0.1", "x-build-id": "6twd6f0NGGQW3CFR3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jongoose~mercari-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jongoose-mercari-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jongoose~mercari-scraper/runs": { "post": { "operationId": "runs-sync-jongoose-mercari-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jongoose~mercari-scraper/run-sync": { "post": { "operationId": "run-sync-jongoose-mercari-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Mercari URLs", "type": "array", "description": "Optional. Paste one or more Mercari search URLs (e.g. https://www.mercari.com/search/?keyword=nintendo%20switch). A keyword is derived from each URL's ?keyword= parameter or its last path segment. Leave empty to use the Search keyword below.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "query": { "title": "Search keyword", "type": "string", "description": "Keyword to search Mercari for, e.g. \"nintendo switch\", \"lululemon leggings\", \"pokemon cards\". Used when no Start URL is provided. Leave everything empty to browse the feed." }, "sort": { "title": "Sort order", "enum": [ "best_match", "newest", "price_asc", "price_desc", "num_likes" ], "type": "string", "description": "How Mercari should sort the results.", "default": "best_match" }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Stop after collecting this many items.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Mercari sits behind Cloudflare and its own bot scoring, so a RESIDENTIAL proxy is recommended - datacenter IPs get soft-blocked at volume. Defaults to Apify residential; leave it as residential for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```