# Mercari Scraper 🛒🛍️ (`jupri/mercari-scraper`) Actor 💫 Scrape Mercari.com - **URL**: https://apify.com/jupri/mercari-scraper.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** E-commerce, Automation - **Features:** Full permissions - **Stats:** 110 total users, 0 monthly users, 93.3% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage ## 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 ## Welcome to Mercari Scraper ![dont be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### About Mercari.com **Mercari, Inc.** ([TYO](https://en.wikipedia.org/wiki/Tokyo_Stock_Exchange "Tokyo Stock Exchange"): [4385](https://www2.jpx.co.jp/tseHpFront/StockSearch.do?callJorEFlg=1\&method=topsearch\&topSearchStr=4385)) is a Japanese e-commerce company founded in 2013.[\[1\]](https://en.wikipedia.org/wiki/Mercari#cite_note-1) Their main product, the Mercari marketplace app, was first launched in Japan in July 2013, and has since grown to become Japan's largest community-powered marketplace with over JPY 10 billion in transactions carried out on the platform each month.[\[2\]](https://en.wikipedia.org/wiki/Mercari#cite_note-techcrunch.com-2)[\[3\]](https://en.wikipedia.org/wiki/Mercari#cite_note-businessinsider.com-3) Among those Japanese users utilizing one of the country's many community marketplace apps, 94% were found to be using Mercari.[\[4\]](https://en.wikipedia.org/wiki/Mercari#cite_note-4) Mercari expanded to the United States in 2014 and the United Kingdom in 2016.[\[2\]](https://en.wikipedia.org/wiki/Mercari#cite_note-techcrunch.com-2)[\[5\]](https://en.wikipedia.org/wiki/Mercari#cite_note-techwave.jp-5) The Mercari app has been downloaded over 100 million times worldwide (as of 16 December 2017) and the company is the first in Japan to reach [unicorn](https://en.wikipedia.org/wiki/Unicorn_\(finance\) "Unicorn (finance)") status.[\[3\]](https://en.wikipedia.org/wiki/Mercari#cite_note-businessinsider.com-3)[\[6\]](https://en.wikipedia.org/wiki/Mercari#cite_note-6) ### 🛒 About this Actor #### All-In-One Mercari.com Scraper ### 🛒 Basic Usage #### Input Parameters | Parameter | Type | Description | |-|-|-| | `query` | **array** | List of KEYWORDS, QUERY or URL | | `limit` | **integer** | Number of results per-query | | `filters` | **object** | Filters | #### Example : Search for products ```yaml { "query": ["SpongeBob"], "limit": 10 } ``` ### 🛒 Advanced Usage #### MERCARI Query Language (`MQL`) ```html [ | # | @ ] [ | | | ] [ /
] ``` #### Possible `QUERY` Values | Format | Examples | Description | |-|-|-| | **<*KEYWORDS*>** | `Apple` | **Search for Products** | | **<*PRODUCT_ID*>** | `m92492971470` OR
`92492971470` | **Product Data** | | **@<*SELLER*>** | `@elonmusk` | **Seller Data**
Seller Name or ID | | `/info` | `@elonmusk/info` | Seller info | `/products` | `@elonmusk/products` | Seller products | `/reviews` | `@elonmusk/reviews` | Seller reviews | **https:<*URL*>** | `https://www.mercari.com/...` | **Start URL** ### 🍂 Support Feel free to [reach out](https://console.apify.com/actors/OgRO5gcKttndXtVCj/issues) to the developer for any issues or suggestions for improvement. # Actor input Schema ## `query` (type: `array`): 💡 Search Terms or Search URL: https://www.mercari.com/search/?parameters ## `limit` (type: `integer`): 💡 Number of results (per-query) ## `filters.sort` (type: `string`): No description ## `filters.country` (type: `string`): 💡 Item Origin ## `filters.seller` (type: `string`): 💡 Seller ID or Name ## `filters.min_price` (type: `integer`): No description ## `filters.max_price` (type: `integer`): No description ## `filters.condition` (type: `array`): No description ## `dev_proxy_config` (type: `object`): 💡 Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000 ## `dev_custom_headers` (type: `array`): 💡 Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): 💡 Additional HTTP Cookies ## `dev_transform_fields` (type: `array`): 💡 Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
## `dev_dataset_name` (type: `string`): 💡 Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME} ## `dev_dataset_clear` (type: `boolean`): Clear Dataset before insert/update. ## `dev_no_strip` (type: `boolean`): 💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## Actor input object example ```json { "query": [ "square pants" ], "limit": 5 } ``` # 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 = { "query": [ "square pants" ], "limit": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/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 = { "query": ["square pants"], "limit": 5, } # Run the Actor and wait for it to finish run = client.actor("jupri/mercari-scraper").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 '{ "query": [ "square pants" ], "limit": 5 }' | apify call jupri/mercari-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,jupri/mercari-scraper" } } } ``` 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/OgRO5gcKttndXtVCj/builds/tmbQ0mP4SrVWvXf8P/openapi.json