Google Trends Scraper - Interest Over Time & Related Queries

Pull interest over time, related queries, and related topics from Google Trends for a search term, or compare up to 5 terms side by side. No API key and no headless browser: the actor calls the same JSON endpoints the Google Trends website uses.

Features

• Multi-term comparison — compare up to 5 keywords in a single run, with per-term interest scores
• Regional filtering — narrow results to a country, or leave blank for worldwide data
• Time ranges — from the past hour to the past 5 years
• Category filter — optional Google Trends category ID
• One JSON object per run — ready for spreadsheets, dashboards, or AI/LLM pipelines
• Retries — requests go through Apify Proxy (datacenter, then residential); when Google rate-limits a request (HTTP 429) the actor waits and retries with a new proxy session

Input

Parameter	Type	Required	Default	Description
query	string	Yes	—	Search term or comma-separated terms (max 5)
geo	string	No	""	Two-letter country code (empty = worldwide)
timeRange	string	No	"today 12-m"	Time range (see options below)
category	integer	No	0	Category ID (0 = all categories)

Time Range Options

Value	Period
now 1-H	Past hour
now 4-H	Past 4 hours
now 1-d	Past day
now 7-d	Past 7 days
today 1-m	Past month
today 3-m	Past 3 months
today 12-m	Past 12 months
today 5-y	Past 5 years

Output

One flat JSON object per run with all trend data embedded:

{
    "query": "python, javascript",
    "queries": ["python", "javascript"],
    "geo": "US",
    "timeRange": "today 12-m",
    "interestOverTime": [
        {"date": "2024-01-07", "formattedDate": "Jan 7 – 13, 2024", "values": [75, 60], "formattedValues": ["75", "60"], "isPartial": false}
    ],
    "relatedQueries": [
        {"query": "python tutorial", "keyword": "python", "rankType": "top", "value": 100, "formattedValue": "100", "link": "/trends/explore?q=python+tutorial&date=today+12-m&geo=US"}
    ],
    "relatedTopics": [
        {"topic": "Python (programming language)", "topicType": "Programming language", "keyword": "python", "rankType": "top", "value": 100}
    ],
    "totalDataPoints": 52,
    "totalRelatedQueries": 25,
    "totalRelatedTopics": 25,
    "scrapedAt": "2024-12-01T10:30:00Z"
}

Notes:

• relatedQueries contains both the top and rising lists (rankType), one set per compared term (keyword). Rising values are % growth (formattedValue may be Breakout).
• geo is "worldwide" when no country is set; date is the UTC start of each period.

Input Example

{
    "query": "artificial intelligence,machine learning",
    "geo": "US",
    "timeRange": "today 12-m"
}

Pricing

Pay-per-event, no start fee: $2.10 per 1,000 trend queries on the Apify Free plan, with lower prices on paid plans.

Event	Free	Starter	Scale	Business	Enterprise
Trend query (TREND_QUERY)	$2.10	$1.80	$1.60	$1.30	$1.30

Prices in USD per 1,000 events.

Cost examples (Free plan)

Queries	Cost
1	$0.0021
100	$0.21
1,000	$2.10

Use cases

• SEO & content strategy — spot rising search terms in your niche
• Market research — compare brand or product interest across regions and time periods
• Journalism & analysis — track public interest around events, policies, or cultural moments
• AI agent workflows — feed structured trend data into LLM pipelines

Limitations

• Relative values — interest scores are Google's relative index (0–100 within the request), not absolute search volumes.
• Related topics often empty — Google frequently returns no related topics for these requests; relatedTopics may be empty even when interest data and related queries are present.
• Rate limits — Google Trends rate-limits aggressively. When that happens the actor waits and retries on new proxy sessions, so a run can take up to about 1 minute; if every attempt fails, the run ends FAILED with the last error.
• Low-volume terms — if Google returns no interest-over-time data (too little search volume), the run ends FAILED instead of producing an empty result.
• Max 5 terms — extra comma-separated terms beyond the fifth are ignored. One result (and one charge) per run.

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