# Ameba Post Scraper (`scrapingmonkey/ameba-post-scraper`) Actor Export public Ameba post details with article text, HTML, media, themes, tags, and like, comment, and reblog counts. - **URL**: https://apify.com/scrapingmonkey/ameba-post-scraper.md - **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community) - **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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 **Ameba Post Scraper** — Export public Ameba post details with article text, HTML, media, themes, tags, and like, comment, and reblog counts. Add supported inputs and start a run to get structured public data without providing a Ameba account. Export a public Ameba staff announcement with article text, images, source links and visible reaction counts in one record for editorial reference. | At a glance | Details | |---|---| | 📥 Input | Enter full public post URLs such as https://ameblo.jp/staff/entry-12590320297.html. | | 📤 Output | One post per success row, with source input retained | | 📄 Pagination | One lookup per unique input; nested values stay in that result row. | | 🔐 Login required | No | | ⚡ Processing | Up to 5 HTTP requests concurrently with automatic retries | | 💾 Delivery | One Apify dataset view, useful flat columns and complete nested JSON | ### What the ameba post scraper collects 📊 Export public Ameba post details with article text, HTML, media, themes, tags, and like, comment, and reblog counts. Data can include: - Source identity and public links - Available id, url, ameba id, blog id, title, text, html, published at - Original input retained with every result - One consistent success or failed record format ### How to collect posts from Ameba 🚀 1. Enter one or more supported inputs in `inputList`. 2. Review the supported input format. 3. Start the Actor. 4. Open the **Posts** dataset view and review the individual records. 5. Export the dataset or retrieve it from your application. ```json { "inputList": [ "https://ameblo.jp/staff/entry-12590320297.html" ] } ``` One lookup per unique input; nested values stay in that result row. ### Ameba posts data and complete output 📦 | Field | Type | Meaning | |---|---|---| | `input` | string | Original submitted input. | | `status` | string | Result status: success or failed. | | `id` | string or null | Stable identifier of this result. | | `url` | string or null | Public result URL. | | `ameba_id` | string or null | Ameba blog ID / username. | | `blog_id` | string or null | Numeric Ameba blog ID. | | `title` | string or null | Public blog or post title. | | `text` | string or null | Available article or comment text with markup removed. | | `html` | string or null | Available article or comment HTML. | | `published_at` | string or null | Publication timestamp. | | `updated_at` | string or null | Last update timestamp when provided. | | `theme_id` | string or null | Ameba theme/category ID. | | `theme_name` | string or null | Public theme/category name. | | `thumbnail_url` | string or null | Article preview image URL. | | `tags` | array or null | Public tags. | | `images` | array or null | Article image URLs with available alt text and dimensions. | | `images[].url` | string or null | Public source URL. | | `images[].alt` | string or null | Alt when exposed by the public response. | | `images[].width` | integer or null | Image width in pixels when supplied. | | `images[].height` | integer or null | Image height in pixels when supplied. | | `embed_urls` | array or null | Video, audio, or iframe URLs found in the public article HTML. | | `is_reblog` | boolean or null | Whether the source labels the post as a reblog. | | `source_blog_id` | string or null | Numeric source blog ID. | | `source_post_id` | string or null | ID of the source article. | | `is_member_only` | boolean or null | Whether this public list record refers to an approved-members-only article. | | `likes_count` | integer or null | Public like count. | | `comments_count` | integer or null | Public comment count including replies. | | `reblogs_count` | integer or null | Public reblog count. | Nested arrays and media references stay in their parent record. Downloading source media files is not part of this Actor. Every top-level output field appears in these complete examples. The success example is normalized from a public response. Long strings and arrays are shortened here; the Actor keeps the complete available values. Values are a snapshot and can change. Nested arrays remain inside their parent result. Representative success result with every output field (long text and arrays shortened for readability): ```json { "input": "https://ameblo.jp/staff/entry-12590320297.html", "status": "success", "id": "12590320297", "url": "https://ameblo.jp/staff/entry-12590320297.html", "ameba_id": "staff", "blog_id": "10000276667", "title": "【改善のお知らせ】コメントで絵文字が使えるようになりました", "text": "いつもAmebaをご利用いただきましてありがとうございます。\n\nAmebaプロダクトマネージャーの田熊です。\n\n皆さまより多数ご要望いただいておりましたコメントでの絵文字利用について、\n\nAmebaアプリ、スマートフォンブラウザ、パソコンにてご利用いただけるよう改善いたしました。\n\nこれからは、絵文字でも気持ちを伝えることが可能になりますので、ぜひたくさんご利用ください。\n\n■絵文字の利用方法\n\nご利用の端末に搭載されている標準の絵文字が利用できます。\n\n※Amebaオリジナル絵文字はご利用いただけません\n\nスマートフォン：スマートフォン内キーボー...", "html": "

\"コメントで絵文字が使えるようになりました\"' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "inputList": [ "https://ameblo.jp/staff/entry-12590320297.html" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapingmonkey/ameba-post-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 = { "inputList": ["https://ameblo.jp/staff/entry-12590320297.html"] } # Run the Actor and wait for it to finish run = client.actor("scrapingmonkey/ameba-post-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 '{ "inputList": [ "https://ameblo.jp/staff/entry-12590320297.html" ] }' | apify call scrapingmonkey/ameba-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/ameba-post-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/PVyjLKvk5K49t6THr/builds/iFoUSbrLYti8Ms9Lj/openapi.json