No. It is a ready-to-run cloud tool — set the inputs and click run. Built on Google News Scraper.

Top Technology News Feed from Google News

Skip the keywords and pull Google News' Technology topic straight into a structured list, ideal for a tech-desk roundup or a daily engineering digest.

Run this use case nowRun on Apify →

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust query, topic, freshness (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

Field	What it does	Type
`query`	Keywords to search Google News for (e.g. "electric vehicles", or advanced: "tesla OR rivian site:reuters.com"). Leave empty if using a Topic instead.	string
`topic`	Use a Google News topic feed instead of a search query.	string
`freshness`	Only return articles newer than this (applied to query searches).	string
`language`	Interface/article language code, e.g. en-US, en-GB, fr, de, es-419.	string
`country`	Edition country code, e.g. US, GB, CA, DE, FR, IN.	string
`maxItems`	Maximum number of articles to return (Google News feeds cap around 100 per query).	integer
`resolveUrls`	Decode Google's redirect links into the actual article URL (e.g. reuters.com/...). Best-effort; falls back to the Google link with urlResolved=false if a link can't be decoded. Check urlResolved per row to know whether url is the real publisher link or the Google redirect.	boolean
`fetchArticleText`	Download each resolved article and extract its main body text. Slower; requires Resolve URLs. Some sites block scraping or have no extractable body — those rows come back with articleText=null and are flagged ok:false and NOT charged, so you only pay for articles whose text was actually fetched.	boolean
`aiSummary`	Generate a 1-2 sentence summary and a sentiment label per article using OpenAI. Needs an OpenAI API key. Best-effort: if the OpenAI call fails for an article, the aiSummary and sentiment fields are simply omitted/null for that row (the article itself is still returned).	boolean
`openaiApiKey`	Only needed when AI summary is on. Kept private.	string
`notionConnector`	Optional. Write each article as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.	string
`notionParentId`	Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.	string

What you get

A structured dataset — each result includes fields like:

articleTextgoogleUrlpublishedAtquerysnippetsourcesourceUrltitletopicurlurlResolved

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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