Google News Scraper with Apify

Search and extract news articles from Google News with full article content, enriched descriptions, and metadata. Supports region and language filtering.

Actor: futurizerush/google-news-scraper

Prerequisites

Set APIFY_API_TOKEN in environment. Get a token at console.apify.com/account/integrations.

Execution Flow

Apify runs are asynchronous. Every request follows 3 steps:

1. Start a run -- POST to the actor API, receive a run ID and dataset ID
2. Poll until done -- GET the run status, wait for SUCCEEDED
3. Fetch results -- GET the dataset items (returns a JSON array)

Typical run time: 30-90 seconds depending on query count and article enrichment.

Input Parameters

Complete Example (Python)

import requests, os, time

TOKEN = os.environ["APIFY_API_TOKEN"]
BASE = "https://api.apify.com/v2"

# Step 1: Start the run
response = requests.post(
    f"{BASE}/acts/futurizerush~google-news-scraper/runs?token={TOKEN}",
    json={
        "searchQueries": ["AI"],
        "region": "us",
        "language": "en",
        "dateFilter": "1d",
        "maxResults": 10,
    },
)
response.raise_for_status()
run = response.json()["data"]
run_id = run["id"]
dataset_id = run["defaultDatasetId"]

# Step 2: Poll until done
while True:
    status = requests.get(
        f"{BASE}/actor-runs/{run_id}?token={TOKEN}"
    ).json()["data"]["status"]
    if status == "SUCCEEDED":
        break
    if status in ("FAILED", "ABORTED", "TIMED-OUT"):
        raise RuntimeError(f"Run failed: {status}")
    time.sleep(5)

# Step 3: Fetch results (JSON array)
items = requests.get(
    f"{BASE}/datasets/{dataset_id}/items?token={TOKEN}"
).json()
for article in items:
    print(f"[{article['source']}] {article['title']}")
    print(f"  URL: {article['articleUrl']}")
    print(f"  Published: {article['pubDate']}")
    if article.get("enrichedDescription"):
        print(f"  Summary: {article['enrichedDescription'][:100]}")

Taiwan news in Chinese

requests.post(
    f"{BASE}/acts/futurizerush~google-news-scraper/runs?token={TOKEN}",
    json={
        "searchQueries": ["台灣"],
        "region": "tw",
        "language": "zh-TW",
        "dateFilter": "1d",
        "maxResults": 10,
    },
)

Multiple queries

requests.post(
    f"{BASE}/acts/futurizerush~google-news-scraper/runs?token={TOKEN}",
    json={
        "searchQueries": ["AI", "climate", "crypto"],
        "region": "us",
        "dateFilter": "1w",
        "maxResults": 10,
    },
)

Complete Example (bash)

# Step 1: Start the run
RUN_RESPONSE=$(curl -s -X POST \
  "https://api.apify.com/v2/acts/futurizerush~google-news-scraper/runs?token=$APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["AI"], "region": "us", "language": "en", "dateFilter": "1d", "maxResults": 10}')

RUN_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.id')
DATASET_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.defaultDatasetId')

# Step 2: Poll until done
while true; do
  STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_API_TOKEN" \
    | jq -r '.data.status')
  [ "$STATUS" = "SUCCEEDED" ] && break
  [ "$STATUS" = "FAILED" ] || [ "$STATUS" = "ABORTED" ] && echo "Failed: $STATUS" && exit 1
  sleep 5
done

# Step 3: Fetch results
curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=$APIFY_API_TOKEN" | jq '.'

Output Format

Each item in the results array (field names verified from real API output on 2026-04-11):

{
  "title": "Vance, Bessent questioned tech giants on AI security...",
  "articleUrl": "https://www.cnbc.com/2026/04/10/...",
  "googleNewsUrl": "https://news.google.com/rss/articles/...",
  "pubDate": "Fri, 10 Apr 2026 20:06:08 GMT",
  "timestamp": "2026-04-10T20:06:08.000Z",
  "source": "CNBC",
  "websiteName": "CNBC",
  "websiteUrl": "https://www.cnbc.com",
  "imageUrl": "https://image.cnbcfm.com/...",
  "description": "Raw RSS description with related headlines...",
  "enrichedDescription": "Bessent and Fed Chair Jerome Powell separately met with...",
  "excerpt": "Bessent and Fed Chair Jerome Powell separately met with...",
  "articleContent": {
    "content": "Full article text (truncated to ~2000 chars)...",
    "characterCount": 2000,
    "tokenCount": 325
  },
  "enrichmentTime": 9848,
  "guid": "unique-article-id",
  "searchQuery": "AI",
  "region": "us",
  "language": "en",
  "scrapedAt": "2026-04-11T06:06:59.618Z"
}

Note: Field names use camelCase. The articleContent object contains the full article text (up to ~2000 characters), character count, and token count. Use enrichedDescription or excerpt for summaries.

Error Handling

Tips

• Use dateFilter: "1h" for real-time news monitoring and alerting.
• Use dateFilter: "1d" for daily news digests.
• articleContent.content provides the full article text (up to ~2000 chars) -- useful for summarization.
• enrichedDescription is a cleaner summary than description (which contains raw RSS data with related headlines).
• timestamp is ISO 8601 format, easier to parse than pubDate.
• Multiple search queries run in a single actor execution.
• No login or API key for Google News required.

Links

• Actor page
• Apify API docs