# Google News Scraper Comprehensive (`scrapeio/google-news-scraper`) Actor The most advanced Google News scraping Actor on Apify—built for high-volume, deduplicated data extraction with precision. It overcomes RSS limits using smart multi-window pagination, ensuring maximum coverage. Outputs clean, Excel-ready datasets ideal for research, monitoring, and automation. - **URL**: https://apify.com/scrapeio/google-news-scraper.md - **Developed by:** [Shop Intel](https://apify.com/scrapeio) (community) - **Categories:** AI, Agents, News - **Stats:** 0 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 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 ## Google News Scraper **Apify actor:** *[Add your published Store URL here, e.g. `https://apify.com/your-org/google-news-scraper`]* **Google News Scraper** collects **headlines, links, dates, sources, and snippets** from **Google News** via its **public RSS** layer, then hands you a **Dataset** and a spreadsheet-friendly **CSV**—well suited to monitoring, research, and reporting pipelines. #### At a glance - **What it does:** Fetches **`news.google.com/rss/search`** for your **keyword**, merges **several time windows** and optional **`rel="next"`** pages, and **dedupes** by `guid` / link so rows stay unique. - **Input:** **`keyword`** + **`numberOfResults`** (1–2000); aliases `q`, `maxResults`, `results` supported. - **Outputs:** **Dataset** (one article per row), **`RESULTS_CSV`** (UTF‑8 BOM, quoted, Excel-friendly), **`RESULTS_JSON`**, **`OUTPUT`** (includes **`meta.stoppedReason`**). - **Locale:** This version builds feeds with **US + English** (`en-US` / `US`) for stable, repeatable URLs. - **Independence:** Not affiliated with Google. --- ### Highlights | Why teams use it | What you get | |------------------|--------------| | **Simple input** | **Keyword** plus **how many unique articles** to collect—two fields in the default form. | | **High volume** | Ask for up to **2,000 unique** articles per run; the actor **dedupes** across feeds automatically. | | **Excel-ready export** | **`RESULTS_CSV`** uses UTF-8 BOM, quoted fields, and CRLF — opens cleanly in Excel and Google Sheets. | | **Smarter than one RSS hit** | Merges **multiple time windows** (`all`, `7d`, `30d`, `1y`, `1h`) and follows **`rel="next"`** when Google sends it, so you get depth without duplicate rows. | | **Publisher-friendly fields** | **Title**, **dates**, **source name**, **snippet**, **Google News link**, and a best-effort **direct article URL** when the feed exposes it. | --- ### Features | Area | What this actor gives you | |------|---------------------------| | **Search** | Single **keyword** (or phrase) — same idea as typing in Google News search. | | **Volume** | **1–2,000** unique articles per run (`numberOfResults`). | | **Locale** | Runs with **US / English** RSS parameters (`hl` / `gl`) for **consistent, reproducible** feed URLs. | | **Deduping** | Same story appearing in multiple passes is kept **once** (by `guid` or link/title). | | **Feeds** | Uses **`news.google.com/rss/search`** with automatic **phase** and **pagination** logic when available. | | **Outputs** | **Dataset** (one JSON object per article) + **RESULTS_CSV** + **RESULTS_JSON** + run **OUTPUT** summary. | --- ### Input **Where:** Apify → this actor → **Input** tab (form or JSON). **Required fields:** | Field | Type | Description | |-------|------|-------------| | **`keyword`** | string | What to search on Google News (e.g. `renewable energy`, `Quarterly earnings`, `World Cup`). | | **`numberOfResults`** | integer | How many **unique** articles to collect (**1–2000**). | **Aliases** (for API tasks and older scripts): | Canonical | Also accepted | |-----------|----------------| | `keyword` | `query`, `searchQuery`, `q` | | `numberOfResults` | `maxResults`, `results` | **Note:** Region and language are **fixed in this version** to **US / English** for predictable RSS behavior. Every field in the input schema is **wired into the scraper** — there are no decorative placeholders. --- ### Output Everything is attached to **the run** you started. #### Where to download | Output | What it is | Where in Apify | |--------|------------|----------------| | **Dataset** | One **JSON record per article** — main export | Run → **Dataset** → Export (JSON, CSV, Excel, …) | | **RESULTS_CSV** | **Excel-friendly** CSV (UTF-8 BOM, all fields quoted, CRLF) | Run → **Storage** → Key-value store → **`RESULTS_CSV`** | | **RESULTS_JSON** | Summary plus **`articles`** array when size allows; otherwise a **compact** summary pointing at the Dataset | **Storage** → **`RESULTS_JSON`** | | **OUTPUT** | Run summary: keyword, requested vs returned count, **`meta`** (phases, stop reason), optional embedded CSV for small runs | **Storage** → **`OUTPUT`** | #### What each article row contains | Field | Meaning | |-------|---------| | `position` | 1-based rank in this run | | `keyword` | The search keyword used | | `title` | Headline (HTML stripped) | | `link` | Link as returned in the RSS feed (often a Google News URL) | | `articleUrl` | Best-effort **publisher URL** parsed from Google’s redirect when possible; otherwise same as `link` | | `pubDate` | Publication/update time string from the feed | | `sourceName` | Outlet name when the feed provides it | | `description` | Snippet / summary text (HTML stripped) | | `guid` | Stable id from the feed when present *(in Dataset JSON; CSV uses the standard export columns above)* | Check **`OUTPUT`** → **`meta.stoppedReason`** after a run: - **`completed`** — reached the requested count (or capped by available unique items). - **`partial_no_more_feed`** — fewer unique articles existed than requested. - **`no_items_or_http_error`** — empty result or HTTP issue; see logs. --- ### Quick start 1. Open the actor → **Input**. 2. Set **Keyword** (e.g. `artificial intelligence`). 3. Set **Number of results** (e.g. `50`). 4. Click **Start**. 5. When the run finishes: **Dataset** → **Export** → CSV/Excel, or download **`RESULTS_CSV`** from **Storage**. --- ### Example inputs (JSON) **Default-style run** ```json { "keyword": "artificial intelligence", "numberOfResults": 30 } ```` **Larger pull (deduped across feed passes)** ```json { "keyword": "climate policy", "numberOfResults": 500 } ``` **Using aliases** ```json { "q": "semiconductor supply chain", "maxResults": 100 } ``` *** ### FAQ **Does this call the Google News API (Cloud product)?**\ No. It uses **RSS/XML** from **news.google.com**, which is a different surface from Google’s paid News API. **Why fewer rows than `numberOfResults`?**\ The index for a query may not yield that many **distinct** stories. The actor stops when feeds are exhausted; check **`OUTPUT.meta.stoppedReason`** (`partial_no_more_feed` vs `completed`). **Can I change country or language?**\ Not in this release—the scraper fixes **`hl` / `gl`** to **English / US** so URLs stay predictable. **Is `articleUrl` always the publisher URL?**\ Often the feed gives a **Google News** link; the actor **tries to unwrap** the publisher URL when the redirect allows it. If not, `articleUrl` stays the same as `link`. **Legal use**\ Honor **[Google’s terms](https://policies.google.com/terms)**, outlet **robots/ToS**, and **copyright** when storing or republishing full text. *** ### Discoverability & related topics **Google News RSS scraper Apify** · news monitoring automation · export Google News to CSV · deduplicated article list · keyword news dataset · bulk news links for research · `meta.stoppedReason` run diagnostics *** ### Local development ```bash make venv && make test APIFY_LOCAL_STORAGE_DIR=./storage mkdir -p storage/key_value_stores/default && cp input.json storage/key_value_stores/default/INPUT.json APIFY_LOCAL_STORAGE_DIR=./storage .venv/bin/python -m src ``` *** **[FastAd](https://www.fastad.in)** — automation & growth tooling. # Actor input Schema ## `keyword` (type: `string`): What to search on Google News (e.g. climate, Apple stock, election). ## `numberOfResults` (type: `integer`): How many unique articles to collect (1–2000). Multiple RSS passes are used automatically when needed. ## Actor input object example ```json { "keyword": "technology", "numberOfResults": 50 } ``` # 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("scrapeio/google-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("scrapeio/google-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 scrapeio/google-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeio/google-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google News Scraper Comprehensive", "description": "The most advanced Google News scraping Actor on Apify—built for high-volume, deduplicated data extraction with precision. It overcomes RSS limits using smart multi-window pagination, ensuring maximum coverage. Outputs clean, Excel-ready datasets ideal for research, monitoring, and automation.", "version": "0.2", "x-build-id": "kSkwnKTBCnKiSB1vf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeio~google-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeio-google-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeio~google-news-scraper/runs": { "post": { "operationId": "runs-sync-scrapeio-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeio~google-news-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeio-google-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keyword", "numberOfResults" ], "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "What to search on Google News (e.g. climate, Apple stock, election).", "default": "technology" }, "numberOfResults": { "title": "Number of results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "How many unique articles to collect (1–2000). Multiple RSS passes are used automatically when needed.", "default": 50 } } }, "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 } } } } } } } } } } ```