# Tumblr Profile Scraper Cheapest (Images & Full Description) (`ahmed_jasarevic/tumblr-data-cloud-scraper`) Actor Extract complete Tumblr post data: HD images, full multi-line descriptions, hashtags, and reblog metadata. No API key required. High-performance, SEO-ready data export. - **URL**: https://apify.com/ahmed\_jasarevic/tumblr-data-cloud-scraper.md - **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community) - **Categories:** Social media, Automation, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ## Tumblr Data Cloud Scraper 🚀 A high-performance, professional-grade scraper designed to extract comprehensive data from any public Tumblr blog. Get full-resolution images, complete post descriptions, tags, and reblog metadata without the limitations of the official API. ### 🌟 Key Features - **Full Data Extraction:** Scrapes post IDs, permanent URLs, and Unix/ISO timestamps. - **Deep Content Parsing:** Unlike standard scrapers, this tool reconstructs full post descriptions by merging all text blocks, ensuring no data is lost in "summary" truncations. - **High-Resolution Media:** Automatically identifies and extracts the highest quality versions of images (HD, 1280p, 2048p). - **Comprehensive Metadata:** Captures all hashtags (tags) and note counts for engagement analysis. - **Reblog Mapping:** Tracks the lineage of posts, including original blog sources and root post IDs. - **SEO & Search Optimized:** Designed to gather clean data perfect for training AI models, archiving, or market research. ### 📊 How It Works This scraper operates in a two-stage process to ensure 100% data accuracy: 1. **Discovery Phase:** Scans the blog feed to identify all post entries. 2. **Deep Scan Phase:** Visits each individual post page to retrieve hidden metadata like full tags and complete descriptions that are often missing from the main feed. ### 🛠 Input Configuration | Field | Type | Description | |-------|------|-------------| | **Targets** | Array | List of Tumblr URLs or Blog Names (e.g., `https://username.tumblr.com`). | | **Limit** | Integer | Maximum number of posts to scrape per blog. | ### 📦 Output Structure The scraper produces clean JSON data. Example: ```json { "id": "190516502386", "blog": "example-blog", "url": "https://example-blog.tumblr.com/post/190516502386", "timestamp": 1580230977, "date_iso": "2020-01-28T16:51:17.000Z", "type": "photo", "title": "Post Title or Slug", "description": "Full multi-line description extracted from content blocks...", "tags": ["art", "photography", "vintage"], "notes": 31431, "reblog": { "is_reblog": true, "root_blog": "original-creator", "root_url": "https://original-creator.tumblr.com/post/..." }, "images": [ "https://.../image_1280.jpg", "https://.../image_2048.jpg" ] } ```` ### 💎 Free vs. Paid Tier - **Free Users:** Limited to **5 items** per crawl to test the extraction quality. - **Paid Users:** Unlimited access (restricted only by your chosen limit and Apify compute units). ### 🚀 Use Cases - **Digital Archiving:** Backup your own blog content with full metadata. - **AI Training Data:** Gather large datasets of image-caption pairs for machine learning. - **Trend Analysis:** Track viral content and hashtags within specific niches. - **Competitive Intelligence:** Monitor engagement and posting strategies of top-performing blogs. *** **Disclaimer:** This tool is intended for personal use and web archiving of publicly available data. Please respect Tumblr's Terms of Service and the privacy of content creators. # Actor input Schema ## `targets` (type: `array`): List of Tumblr blog URLs or names (e.g., https://23-jumpstreet.tumblr.com/) ## `limit` (type: `integer`): How many posts to scrape per target. Free users are limited to 5. ## Actor input object example ```json { "targets": [ "https://www.tumblr.com/23-jumpstreet" ], "limit": 20 } ``` # 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 = { "targets": [ "https://www.tumblr.com/23-jumpstreet" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ahmed_jasarevic/tumblr-data-cloud-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 = { "targets": ["https://www.tumblr.com/23-jumpstreet"] } # Run the Actor and wait for it to finish run = client.actor("ahmed_jasarevic/tumblr-data-cloud-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 '{ "targets": [ "https://www.tumblr.com/23-jumpstreet" ] }' | apify call ahmed_jasarevic/tumblr-data-cloud-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahmed_jasarevic/tumblr-data-cloud-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tumblr Profile Scraper Cheapest (Images & Full Description)", "description": "Extract complete Tumblr post data: HD images, full multi-line descriptions, hashtags, and reblog metadata. No API key required. High-performance, SEO-ready data export.", "version": "0.0", "x-build-id": "GXvvFuXiRcZTOLdMW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~tumblr-data-cloud-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-tumblr-data-cloud-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahmed_jasarevic~tumblr-data-cloud-scraper/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-tumblr-data-cloud-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahmed_jasarevic~tumblr-data-cloud-scraper/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-tumblr-data-cloud-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "targets" ], "properties": { "targets": { "title": "Tumblr URLs or Blog Names", "type": "array", "description": "List of Tumblr blog URLs or names (e.g., https://23-jumpstreet.tumblr.com/)", "items": { "type": "string" } }, "limit": { "title": "Max Items per Blog", "minimum": 1, "type": "integer", "description": "How many posts to scrape per target. Free users are limited to 5.", "default": 20 } } }, "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 } } } } } } } } } } ```