# Popply Scraper (Korean Pop-Up Stores: Schedules + Locations) (`kdatafactory/popply-scraper`) Actor Scrape Korean pop-up store data from Popply (popply.co.kr) — the #1 pop-up aggregator. Returns each pop-up: name, brand, category, location (Seongsu, Hongdae, The Hyundai), start/end dates, status, image and URL. Event-based local retail intelligence. Privacy-safe: no personal data. - **URL**: https://apify.com/kdatafactory/popply-scraper.md - **Developed by:** [Seok June Park](https://apify.com/kdatafactory) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 ## Popply Scraper — Korean Pop-Up Stores (Schedules, Brands & Locations) Scrape **Korean pop-up store** data from [Popply](https://popply.co.kr) (팝플리) — Korea's #1 pop-up-store aggregator. Popply tracks the temporary, time-limited retail experiences that brands run across Seoul and Korea (Seongsu / 성수, Hongdae / 홍대, The Hyundai Seoul / 더현대, Gangnam, and beyond). This actor turns that live calendar into a clean, structured dataset: for every pop-up it returns the **name, organizing brand, category, location, start/end dates, current status, image and URL**. It is the **event / time-limited complement** to a Naver Place or Google-Maps business scraper — instead of permanent shops, you get what's opening *this week* and *next*. **Privacy-safe by construction:** only pop-up, venue and public brand data is collected. No personal names, nicknames, ids, profiles, phone numbers or reviewer/commenter identity — ever. > **Try it free.** Apify's free plan includes $5 of monthly platform credit — roughly **2,000 results** from this actor, no credit card required. Set your input, click Start, and export JSON/CSV/Excel. ### What it does - Pulls the live pop-up list straight from Popply's public JSON backend (`api.popply.co.kr`) — fast and reliable, no headless browser needed. - Merges the flat store list with Popply's curated "course" groups and **deduplicates** by pop-up id for maximum coverage. - Maps each pop-up's numeric category to a human-readable label (Fashion, Beauty/Health, Food/Beverage, Character/IP, Goods, Exhibition, …). - Normalizes status to `ongoing` (open now) or `upcoming` (scheduled). - Optional **category / location / status filters** so you only pay for the rows you want. ### Input All inputs are optional — run with no input to scrape every live pop-up. | Field | Type | Description | |-------|------|-------------| | `category` | string | Keep only this category. English alias (`fashion`, `beauty`, `food`, `character`, `goods`, `exhibition`, …) or the Korean name (`패션`, `뷰티/헬스`, …). | | `location` | string | Substring match on the pop-up's address / area, e.g. `성동` (Seongsu), `마포` (Hongdae), `강남`, `부산`. | | `status` | select | `all` (default), `ongoing` (open now), or `upcoming` (scheduled). | | `maxItems` | integer | Max pop-ups to scrape (default 200). | | `proxyConfiguration` | proxy | Optional. The API is served to most IPs; a failed proxy tunnel auto-falls-back to a direct connection. | #### Input example ```json { "category": "fashion", "location": "성동", "status": "ongoing", "maxItems": 100 } ```` ### Output One record per pop-up store (real sample from a live run): ```json { "source": "popply", "popup_id": "5475", "name": "타이니빌 팝업", "brand": "타이니빌", "category": "캐릭터/IP", "location": "경기 성남시", "address": "경기 성남시 분당구 판교역로146번길 20", "venue": "현대백화점 판교점 4층 아이코닉스퀘어", "latitude": 37.3927946, "longitude": 127.1120875, "start_date": "2026-07-10", "end_date": "2026-07-23", "status": "upcoming", "view_count": 5, "url": "https://popply.co.kr/popup/5475", "image_url": "https://d8nffddmkwqeq.cloudfront.net/store/f1786627%2C...", "scraped_at": "2026-07-09T13:33:15+09:00" } ``` | Field | Notes | |-------|-------| | `source` | Always `"popply"`. | | `popup_id` | Stable Popply store id. | | `name` | Pop-up title. | | `brand` | Organizing commercial brand (public info, like a shop name). | | `category` | Human-readable Korean category label. | | `location` | Coarse public area (e.g. `서울 성동구`). | | `address` | Full street address of the venue. | | `venue` | Venue / floor detail (e.g. department-store floor) when Popply provides it. | | `latitude` / `longitude` | Map coordinates. | | `start_date` / `end_date` | Run dates (`YYYY-MM-DD`). | | `status` | `ongoing` or `upcoming`. | | `view_count` | Popply page view count (aggregate; not personal). | | `url` | Public pop-up page. | | `image_url` | Cover image. | | `scraped_at` | KST (UTC+9) ISO-8601 timestamp. | The core fields (name, brand, category, location, dates, coordinates, status, url, image) populate on every record; `venue` is present for most but not all pop-ups (~80%), and the public feed only exposes ongoing/upcoming pop-ups (not `ended`) — see Known Limitations below and `samples/sample-output.json` for 40 real records. ### Use cases - **Local retail intelligence** — track which brands are running pop-ups, where, and when. The event-based complement to permanent-store data. - **Trend research** — pop-ups are where brands test drops before wide retail; combine with e-commerce actors (Musinsa, 29CM) for a full "what's launching in Korea" feed. - **Location scouting / commercial real estate** — see which venues and neighborhoods (Seongsu, The Hyundai, Hongdae) host the most pop-ups. - **Marketing & PR monitoring** — get alerted to competitor and IP/character (K-pop, gaming, anime) activations as they go live. - **AI agents & apps** — a fresh, structured "pop-ups near me / this week" dataset for recommendation and event-discovery products. ### ❓ FAQ **Is it legal to scrape this data?** This actor collects only public, non-personal catalog data — the same pop-up listings any visitor sees on Popply without logging in. No personal data is collected. You are responsible for how you use the data; see the legality & privacy note below. **What does it cost in practice?** $2.50 per 1,000 results (launch pricing) + a few cents of platform usage. Example: a 500-result daily pull costs about $1.25/day. Apify's free $5 monthly credit covers ~2,000 results. **Do I need to configure proxies?** No — the default settings work out of the box. For very large or repeated runs, Apify Proxy (RESIDENTIAL, country KR) is an optional way to avoid rate limits; a failed proxy tunnel automatically falls back to a direct connection. **How fresh is the data?** Every run scrapes the live site at run time. Schedule the actor for recurring snapshots — pop-ups change weekly, so a scheduled run makes a great forward-looking calendar. **What is NOT included?** Historical / already-ended pop-ups (the public feed only lists ongoing and upcoming ones) and per-pop-up user reviews or comments (never collected, to avoid touching commenter identity). `venue` (floor detail) is present on ~80% of records. ### 🇰🇷 More Korean data actors This actor is part of a suite of Korean-platform scrapers by the same maintainer: - [naver-place-scraper](https://apify.com/kdatafactory/naver-place-scraper) — Korean local businesses from Naver Place/Maps - [tumblbug-scraper](https://apify.com/kdatafactory/tumblbug-scraper) — Korean crowdfunding projects, pledges and categories from Tumblbug Browse all: [apify.com/kdatafactory](https://apify.com/kdatafactory) ### Rate, legality & privacy - **Public data only.** The actor reads the same public JSON endpoints Popply's own website calls to render its listing pages — no login, no private API. - **Polite by default.** Requests are spaced ≥ 500 ms; a lite-test mode caps volume for validation. - **No personal data.** Pop-up / venue / brand fields only. Reviewer and commenter identity is never touched. `brand` is a public commercial name, comparable to a shop name. - **Proxy optional.** Popply's API answers most IPs directly. For very large or repeated runs, Apify Proxy (RESIDENTIAL, country KR) is recommended to avoid rate limits; a failed proxy tunnel automatically falls back to a direct connection. ### Known limitations - Popply's public listing feed exposes **currently live and upcoming** pop-ups. Historical / already-ended pop-ups are not part of the standard feed, so `status: "ended"` rarely appears — treat this actor as a *forward-looking* calendar. - `venue` (floor / sub-venue detail) is present for most but not all pop-ups (the rest carry the full street address only). - Per-pop-up user reviews and comments are intentionally **not** collected (they would require reading commenter identity, which this actor never does). *** *If this actor saves you time, a rating on the [Store page](https://apify.com/kdatafactory/popply-scraper) helps a solo maintainer a lot. Found an issue? Open it in the Issues tab — I respond fast.* # Actor input Schema ## `category` (type: `string`): Optional. Keep only pop-ups in this category. Accepts the English category label or its Korean name — e.g. "fashion" / "패션", "beauty" / "뷰티/헬스", "food" / "푸드/음료", "character" / "캐릭터/IP", "goods" / "소품/굿즈", "exhibition" / "전시". Leave empty to scrape every category. ## `location` (type: `string`): Optional. Keep only pop-ups whose address contains this text (substring match). Use a Korean area name as it appears in Popply, e.g. "성동" (Seongsu), "마포" (Hongdae/Mapo), "강남", "부산". Leave empty to scrape all locations. ## `status` (type: `string`): Optional. Keep only pop-ups with this status. "ongoing" = currently open, "upcoming" = scheduled to open. Leave as "all" to include both. ## `maxItems` (type: `integer`): Maximum number of pop-up stores to scrape. ## `proxyConfiguration` (type: `object`): Popply's public API is served to most IPs. A proxy is optional; if a proxy tunnel fails, the actor automatically falls back to a direct connection. RESIDENTIAL (country KR) is recommended only if you hit rate limits on large runs. ## Actor input object example ```json { "category": "fashion", "location": "성동", "status": "all", "maxItems": 200, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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("kdatafactory/popply-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 = {} # Run the Actor and wait for it to finish run = client.actor("kdatafactory/popply-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 '{}' | apify call kdatafactory/popply-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kdatafactory/popply-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Popply Scraper (Korean Pop-Up Stores: Schedules + Locations)", "description": "Scrape Korean pop-up store data from Popply (popply.co.kr) — the #1 pop-up aggregator. Returns each pop-up: name, brand, category, location (Seongsu, Hongdae, The Hyundai), start/end dates, status, image and URL. Event-based local retail intelligence. Privacy-safe: no personal data.", "version": "0.1", "x-build-id": "F4RPaucm6xA2f3NcB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kdatafactory~popply-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kdatafactory-popply-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kdatafactory~popply-scraper/runs": { "post": { "operationId": "runs-sync-kdatafactory-popply-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kdatafactory~popply-scraper/run-sync": { "post": { "operationId": "run-sync-kdatafactory-popply-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "category": { "title": "Category filter", "type": "string", "description": "Optional. Keep only pop-ups in this category. Accepts the English category label or its Korean name — e.g. \"fashion\" / \"패션\", \"beauty\" / \"뷰티/헬스\", \"food\" / \"푸드/음료\", \"character\" / \"캐릭터/IP\", \"goods\" / \"소품/굿즈\", \"exhibition\" / \"전시\". Leave empty to scrape every category." }, "location": { "title": "Location filter", "type": "string", "description": "Optional. Keep only pop-ups whose address contains this text (substring match). Use a Korean area name as it appears in Popply, e.g. \"성동\" (Seongsu), \"마포\" (Hongdae/Mapo), \"강남\", \"부산\". Leave empty to scrape all locations." }, "status": { "title": "Status filter", "enum": [ "all", "ongoing", "upcoming" ], "type": "string", "description": "Optional. Keep only pop-ups with this status. \"ongoing\" = currently open, \"upcoming\" = scheduled to open. Leave as \"all\" to include both.", "default": "all" }, "maxItems": { "title": "Max pop-ups", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of pop-up stores to scrape.", "default": 200 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Popply's public API is served to most IPs. A proxy is optional; if a proxy tunnel fails, the actor automatically falls back to a direct connection. RESIDENTIAL (country KR) is recommended only if you hit rate limits on large runs.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```