# Coingecko News Scraper (`piotrv1001/coingecko-news-scraper`) Actor Scrapes the CoinGecko news feed via the public API, extracting article titles, descriptions, source URLs, authors, publishers, thumbnails, and timestamps — with full pagination and date filtering for incremental runs. - **URL**: https://apify.com/piotrv1001/coingecko-news-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** News, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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 ### CoinGecko News Scraper Extract crypto news articles from [CoinGecko](https://www.coingecko.com/en/news) — the world's largest independent cryptocurrency data aggregator. The **CoinGecko News Scraper** pulls structured article data directly from CoinGecko's public news API, giving you clean JSON output with no browser automation required. ### ✨ Features - 📰 **Full news feed coverage**: Scrape titles, descriptions, source URLs, authors, publishers, thumbnails, and timestamps - 📄 **Deep pagination**: Access the full historical archive — hundreds of pages, thousands of articles - 🔁 **Date filtering**: Stop scraping once you reach articles older than a given date — perfect for incremental runs - ⚡ **Fast & lightweight**: Pure HTTP API — no browser, no proxies, no JavaScript rendering needed - 🛡️ **Rate-limit safe**: Built-in 429 handling with automatic retry using the `Retry-After` header ### 🛠️ How It Works 1. **Configure inputs** – Set how many articles you want and optionally a date cutoff 2. **Run the scraper** – The Actor calls the CoinGecko public news API page by page 3. **Get structured data** – Each article is normalized and saved to the dataset ### 📥 Input | Field | Type | Default | Description | |---|---|---|---| | `maxItems` | integer | `40` | Maximum number of articles to scrape. Set to `0` for no limit. | | `sinceDate` | string | `""` | ISO 8601 date (e.g. `2025-01-01`). Stop scraping when articles are older than this date. Leave empty to scrape all available articles. | #### Example input ```json { "maxItems": 100, "sinceDate": "2025-01-01" } ```` > **API key**: Set the `COINGECKO_API_KEY` environment variable to your free [CoinGecko Demo API key](https://www.coingecko.com/en/api/pricing). This raises the rate limit from ~5 to 30 req/min and is strongly recommended for large runs. ### 📊 Sample Output Data The scraper provides structured JSON output for each article. Example: ```json [ { "id": 106866045, "title": "Only 25 + 40 Days to Get a MiCA License? Let's Decode the Actual Timeline", "description": "MiCA Decoded is a 12-article weekly series breaking down the EU's crypto regulation framework.", "url": "https://news.bitcoin.com/only-25-40-days-to-get-a-mica-license/", "newsSite": "Bitcoin.com", "author": "Guest Author", "locale": "en", "thumbnailUrl": "https://assets.coingecko.com/articles/images/106866045/large/thumb.jpg", "publishedAt": "2026-04-12T06:30:26.000Z", "crawledAt": "2026-04-12T06:30:26.000Z", "scrapedAt": "2026-04-12T10:00:00.000Z" } ] ``` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ### 📋 Data Fields | Field | Type | Description | |---|---|---| | `id` | number | Unique CoinGecko article ID (monotonically increasing) | | `title` | string | Article headline | | `description` | string | 1–2 sentence summary | | `url` | string | Link to the original article on the publisher's site | | `newsSite` | string | Publisher name (e.g. Cointelegraph, CoinDesk, BeInCrypto) | | `author` | string | null | Byline (may be `null` or `"Guest Author"`) | | `locale` | string | Language code (currently always `"en"`) | | `thumbnailUrl` | string | null | Thumbnail image hosted on CoinGecko's CDN | | `publishedAt` | string | ISO 8601 publication timestamp | | `crawledAt` | string | ISO 8601 timestamp when CoinGecko indexed the article | | `scrapedAt` | string | ISO 8601 timestamp when this Actor scraped the article | ### 💡 Tips - **Incremental runs**: Use `sinceDate` to only fetch articles newer than your last run — set it to yesterday's date to get a daily update - **Full archive**: Set `maxItems: 0` and omit `sinceDate` to paginate through the entire archive (1,000+ articles) - **Speed**: With a free CoinGecko Demo API key set as `COINGECKO_API_KEY`, the scraper safely runs at ~30 pages/min (600 articles/min) - **News sources**: CoinGecko aggregates 50+ publishers including Cointelegraph, CoinDesk, BeInCrypto, The Block, Decrypt, Forbes Digital Assets, NewsBTC, and more ### ❓ FAQ & Support **Is scraping CoinGecko legal?** This Actor uses CoinGecko's public API — the same endpoint used by their own website. It respects rate limits and does not scrape personal data. **Why are some `author` fields null or "Guest Author"?** This reflects the data CoinGecko provides — some publishers don't expose a byline in their feed. **The scraper stopped early — what happened?** Most likely a rate limit (429). Providing a free `COINGECKO_API_KEY` environment variable resolves this for the vast majority of runs. Found a bug or need a custom feature? Open an issue on the [Issues tab](../../issues). # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of articles to scrape. Set to 0 for no limit. ## `sinceDate` (type: `string`): Stop scraping when articles are older than this date. Use ISO 8601 format (e.g. 2025-01-01). Leave empty to scrape all available articles. ## Actor input object example ```json { "maxItems": 40, "sinceDate": "" } ``` # Actor output Schema ## `articles` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/coingecko-news-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("piotrv1001/coingecko-news-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 piotrv1001/coingecko-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/coingecko-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Coingecko News Scraper", "description": "Scrapes the CoinGecko news feed via the public API, extracting article titles, descriptions, source URLs, authors, publishers, thumbnails, and timestamps — with full pagination and date filtering for incremental runs.", "version": "0.0", "x-build-id": "p4vpxIwbgmasroZON" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~coingecko-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-coingecko-news-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~coingecko-news-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-coingecko-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~coingecko-news-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-coingecko-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of articles to scrape. Set to 0 for no limit.", "default": 40 }, "sinceDate": { "title": "Since Date", "pattern": "^(\\d{4}-\\d{2}-\\d{2}.*)?$", "type": "string", "description": "Stop scraping when articles are older than this date. Use ISO 8601 format (e.g. 2025-01-01). Leave empty to scrape all available articles.", "default": "" } } }, "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 } } } } } } } } } } ```