Webz.io News API avatar

Webz.io News API

Pricing

from $2.00 / 1,000 news searches

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Webz.io News API

Webz.io News API

Describe the news you need in plain language. Webz.io finds relevant articles worldwide, ready for your product, research, or AI application, with precise filtering options.

Pricing

from $2.00 / 1,000 news searches

Rating

5.0

(2)

Developer

Webz.io

Webz.io

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

8 days ago

Last modified

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Webz.io News Search

Search for news in plain language. Webz.io finds relevant articles worldwide, ready for your product, research, or AI application, with precise filtering options. Search in plain language. The Actor returns one dataset row per article: title, URL, publish time, match score, excerpt, and source metadata.

This Actor calls the Webz.io News Search API (POST /api/news/context). It does not crawl the web.

What you pay

You pay Apify. There is no Webz token to paste.

A successful run charges one search event, plus one apify-default-dataset-item event per article saved. Prices are on this Actor's page. An invalid query is not charged.

Input

FieldRequiredWhat it does
QueryYesNatural-language topic or question. Max 750 characters and 100 words.
Number of articlesNo1–50. Default 10.
Published within daysNoLast N days, UTC. Coverage is 30 days.
FiltersNoLanguage, country, sentiment, domain, ticker, and the rest of the News Search filters.

Pass Published within days or Published from, not both.

Output

The dataset has one item per article. The main columns are score, title, url, published_at, text, domain, language, country, sentiment, and ticker. Other metadata from the article is included when the API sends it.

The key-value store record OUTPUT holds query and total_results.

Run from code

from apify_client import ApifyClient
client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("webzio/news-search").call(run_input={
"query": "recent developments on EU AI regulation",
"k": 10,
"days": 7,
"language": ["english"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["score"], item["title"], item["url"])

Agents can call the same Actor through the Apify MCP server with ?tools=webzio/news-search.