Webz.io News API
Pricing
from $2.00 / 1,000 news searches
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
Maintained by CommunityActor 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
| Field | Required | What it does |
|---|---|---|
| Query | Yes | Natural-language topic or question. Max 750 characters and 100 words. |
| Number of articles | No | 1–50. Default 10. |
| Published within days | No | Last N days, UTC. Coverage is 30 days. |
| Filters | No | Language, 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 ApifyClientclient = 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.