# Pinterest Board Image Downloader (`tamkungz/pinfetch`) Actor Scrape Pinterest image URLs with Playwright, auto-download files, and export all downloaded images as a ZIP (IMAGES\_ZIP). Includes per-image dataset records and run summary output for easy tracking and reuse. - **URL**: https://apify.com/tamkungz/pinfetch.md - **Developed by:** [TamKungZ\_](https://apify.com/tamkungz) (community) - **Categories:** Automation, Social media - **Stats:** 19 total users, 2 monthly users, 97.2% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.10 / 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 ## PinFetch - Pinterest Board Image Scraper & Downloader (Apify Actor) Pinterest image scraper and downloader for Apify Actor, built with Python + Playwright. Collect high-quality Pinterest image URLs, download images automatically, and export downloaded files as ZIP. **Keywords:** Pinterest scraper, Pinterest image downloader, Apify Pinterest Actor, Playwright scraper, Pinterest image URL extractor, bulk image download, Pinterest automation, pinimg originals ### Description (for Apify SEO) Scrape Pinterest image URLs with Playwright, download images in bulk, and export all downloaded files as a ZIP (`IMAGES_ZIP`). Includes per-image dataset output and run summary (`OUTPUT`) for reliable Pinterest data workflows. ### What this Pinterest Scraper Actor does - Opens a Pinterest page with Playwright. - Scrolls the page and collects unique `pinimg.com` image URLs. - Normalizes image URLs to original quality (`/originals/`). - Downloads images to a local folder inside the Actor container. - Pushes per-image status records to the dataset. - Creates a ZIP of downloaded images and stores it in KV store as `IMAGES_ZIP`. - Stores run summary in KV store key `OUTPUT`. ### Input Input is defined in [`.actor/input_schema.json`](.actor/input_schema.json). - `url` (string, required): Pinterest profile/board/pin URL to scrape. - `max_scroll` (integer): Maximum number of scroll rounds. - `max_no_new` (integer): Stop after N rounds with no new image URLs. - `max_images` (integer, optional): Stop early when collected image count reaches this limit. - `scroll_delay_sec` (number): Delay between scroll rounds. - `save_dir` (string): Directory for downloaded files in container. - `request_timeout_sec` (integer): HTTP timeout per image request. - `download_delay_sec` (number): Delay between each download. - `headless` (boolean): Run Chromium in headless mode. ### Output #### 1) Dataset (image URL results) Schema: [`.actor/dataset_schema.json`](.actor/dataset_schema.json) Each item includes: - `source_url` - `image_url` - `file_name` - `status` - `status_code` - `error` #### 2) Downloaded images ZIP - KV key: `IMAGES_ZIP` - Exposed by output schema in [`.actor/output_schema.json`](.actor/output_schema.json) #### 3) Run summary (`OUTPUT`) KV key: `OUTPUT` Typical fields: - `source_url` - `image_count` - `downloaded_count` - `save_dir` - `zip_key` - `zip_file_name` - `zip_file_count` ### How to download ZIP from Apify Console After the run is finished, open the run page (example): - `https://console.apify.com/actors/KiITVfqPpB73YtURf/runs/auVvwyqn3agMvVg7o#output` Then: 1. Go to **Output** section. 2. You will initially see **Image URL dataset**. 3. Click the dropdown (arrow-down icon). 4. Change selection to **Downloaded images ZIP**. 5. The ZIP download will start automatically (or a download link will appear). If needed, download directly from KV record URL: - `https://api.apify.com/v2/key-value-stores/8LWpZk3wuuBpR0rRr/records/IMAGES_ZIP` Generic format: - `https://api.apify.com/v2/key-value-stores//records/IMAGES_ZIP` ### Run locally ```bash apify run ```` ### Deploy ```bash apify login apify push ``` ### Main code - Runtime entrypoint: [`src/main.py`](src/main.py) - Original reference logic: [`.mycode/pin.py`](.mycode/pin.py) # Actor input Schema ## `url` (type: `string`): Pinterest profile or ref URL to scrape image URLs from ## `max_scroll` (type: `integer`): Maximum number of scroll iterations ## `max_no_new` (type: `integer`): Stop crawl after this many consecutive rounds with no newly found images ## `max_reloads` (type: `integer`): When max\_no\_new is reached, reload page this many times before final stop ## `reload_only_below_total` (type: `integer`): Allow stall-reload only while collected image total is below this threshold (helps avoid unnecessary reloads later) ## `max_images` (type: `integer`): Stop scraping early when this many unique images have been collected ## `scroll_delay_sec` (type: `number`): Delay between scroll rounds in seconds ## `save_dir` (type: `string`): Directory path inside Actor container where images are downloaded ## `request_timeout_sec` (type: `integer`): HTTP timeout for each image download request ## `download_delay_sec` (type: `number`): Sleep delay between each file download ## `headless` (type: `boolean`): Run Chromium in headless mode ## Actor input object example ```json { "url": "https://www.pinterest.com/TamKungZ_/ref/", "max_scroll": 300, "max_no_new": 5, "max_reloads": 2, "reload_only_below_total": 30, "scroll_delay_sec": 1.2, "save_dir": "pinterest_images", "request_timeout_sec": 30, "download_delay_sec": 0.25, "headless": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `imagesZip` (type: `string`): No description ## `summary` (type: `string`): No description # 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 = { "url": "https://www.pinterest.com/TamKungZ_/ref/" }; // Run the Actor and wait for it to finish const run = await client.actor("tamkungz/pinfetch").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 = { "url": "https://www.pinterest.com/TamKungZ_/ref/" } # Run the Actor and wait for it to finish run = client.actor("tamkungz/pinfetch").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 '{ "url": "https://www.pinterest.com/TamKungZ_/ref/" }' | apify call tamkungz/pinfetch --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tamkungz/pinfetch", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Board Image Downloader", "description": "Scrape Pinterest image URLs with Playwright, auto-download files, and export all downloaded images as a ZIP (IMAGES_ZIP). Includes per-image dataset records and run summary output for easy tracking and reuse.", "version": "0.1", "x-build-id": "QLsUSLjit6M2ZZPLO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tamkungz~pinfetch/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tamkungz-pinfetch", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tamkungz~pinfetch/runs": { "post": { "operationId": "runs-sync-tamkungz-pinfetch", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tamkungz~pinfetch/run-sync": { "post": { "operationId": "run-sync-tamkungz-pinfetch", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Pinterest page URL", "type": "string", "description": "Pinterest profile or ref URL to scrape image URLs from", "default": "https://www.pinterest.com/TamKungZ_/ref/" }, "max_scroll": { "title": "Maximum scroll rounds", "minimum": 1, "type": "integer", "description": "Maximum number of scroll iterations", "default": 300 }, "max_no_new": { "title": "Stop after no new images", "minimum": 1, "type": "integer", "description": "Stop crawl after this many consecutive rounds with no newly found images", "default": 5 }, "max_reloads": { "title": "Reload attempts after stall", "minimum": 0, "type": "integer", "description": "When max_no_new is reached, reload page this many times before final stop", "default": 2 }, "reload_only_below_total": { "title": "Reload only below total images", "minimum": 0, "type": "integer", "description": "Allow stall-reload only while collected image total is below this threshold (helps avoid unnecessary reloads later)", "default": 30 }, "max_images": { "title": "Maximum images to collect", "minimum": 1, "type": "integer", "description": "Stop scraping early when this many unique images have been collected" }, "scroll_delay_sec": { "title": "Scroll delay (seconds)", "minimum": 0, "type": "number", "description": "Delay between scroll rounds in seconds", "default": 1.2 }, "save_dir": { "title": "Save directory", "type": "string", "description": "Directory path inside Actor container where images are downloaded", "default": "pinterest_images" }, "request_timeout_sec": { "title": "Download request timeout (seconds)", "minimum": 1, "type": "integer", "description": "HTTP timeout for each image download request", "default": 30 }, "download_delay_sec": { "title": "Delay between downloads (seconds)", "minimum": 0, "type": "number", "description": "Sleep delay between each file download", "default": 0.25 }, "headless": { "title": "Headless browser", "type": "boolean", "description": "Run Chromium in headless mode", "default": 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 } } } } } } } } } } ```