Access interest-over-time, regional interest, related topics, trending searches, and topic autocomplete. Structured JSON. Start for FREE.
Also: Google Trends Scraper · Google Trends API Python
{
"timeline": [
{ "date": "2026-03-01", "values": [{ "query": "python", "value": 92 }] },
{ "date": "2026-03-15", "values": [{ "query": "python", "value": 88 }] },
{ "date": "2026-04-01", "values": [{ "query": "python", "value": 100 }] }
],
"averages": [{ "query": "python", "value": 93 }],
"related_queries": {
"rising": [{ "query": "python 3.13", "value": 5400 }],
"top": [{ "query": "python tutorial", "value": 100 }]
}
}A Google Trends API retrieves interest-over-time scores, regional breakdowns, related topics and queries, and trending searches for any keyword or topic — programmatically, at scale. Google Trends is one of the most useful free data sources available: it reveals real search behaviour, emerging demand, and competitive interest before that signal appears in sales data or traditional research.
Google does not offer an official Trends API. The pytrends Python library accesses an unofficial interface but is frequently rate-limited and unreliable for production workloads. For google trends scraper pipelines, keyword research tools, content strategy platforms, or market intelligence applications, developers use third-party google trends api python-compatible services like ScrapeBadger.
ScrapeBadger's Google Trends API covers five endpoints: interest over time, interest by region, related topics and queries, trending searches, and topic autocomplete — all returning structured JSON ready for analysis.
One API call. Interest and trend data back in structured JSON. First request in under 5 minutes.
All endpoints return structured JSON. Mix and match to build your data pipeline.
Search interest over time for any keyword or topic from Google Trends
/v1/google/trends/interestGeographic breakdown of search interest by country or sub-region
/v1/google/trends/regionsRising and top related topics and queries for any search term
/v1/google/trends/relatedDaily and real-time trending searches on Google by country
/v1/google/trends/trendingResolve a query prefix into categorized Knowledge Graph topic entities
/v1/google/trends/autocompleteFrom content strategy to demand forecasting — the most impactful applications of Trends data.
Compare search interest across multiple keywords to prioritise content production. Identify rising versus declining terms and align editorial calendars with real demand rather than static volume estimates.
Track seasonal interest patterns for products or categories to inform inventory planning, campaign timing, and budget allocation. Trends data is a leading indicator — demand peaks on Google before it registers in sales.
Use interest-by-region data to identify where in the world interest in a topic is strongest. Inform market entry decisions, localise campaigns, and allocate resources by geographic demand signal.
Monitor related rising queries to catch emerging trends before they peak. Build alert tools for product teams, investors, or editorial teams when topic interest starts accelerating.
Add google trends api python-powered trajectory data to SEO or PPC dashboards. Show clients whether their target keywords are growing or declining before they commit content or ad spend.
Compare your brand's search interest against competitors over time and by region. Measure how campaigns or product launches shift relative search interest.
ScrapeBadger's hosted MCP server exposes 92 tools — including all Google APIs — to any AI agent that supports the Model Context Protocol. No code changes. Just add one config line and your agent can call google_trends_interest natively.
Most Google data APIs charge monthly subscriptions whether you use them or not. ScrapeBadger's model is different.
Buy credits once and use them whenever you need — no monthly reset, no "use it or lose it" pressure. ScrapeBadger's pay-as-you-go credits last forever, so projects with variable or seasonal query volumes never waste budget on unused allocation.
ScrapeBadger offers two models: pay-as-you-go credits that never expire, or a subscription plan at a lower per-credit rate for predictable, high-volume usage. On a subscription, unused credits roll over to the following month — so you never lose what you paid for. No lock-in, cancel anytime.
ScrapeBadger covers the full Google product ecosystem from a single API key and credit balance: SERP, Maps, Reviews, News, Trends, Jobs, Shopping, Patents, Scholar, Images, Finance, Flights, Hotels, Lens, AI Mode, Autocomplete, Shorts, and more. One account, one integration, one billing relationship — versus managing multiple subscriptions across separate data providers.
Failed requests — timeouts, blocked responses, empty results — are never charged. Credits are deducted only when the API returns a successful, data-containing response. At scale, where failure rates affect your effective cost per result, this matters significantly. You pay for data you received, not for infrastructure you used.
Start with pay-as-you-go credits that never expire, or save more with a monthly subscription. No hidden fees, no lock-in.
Custom credit volumes, dedicated infrastructure, SLA guarantees, invoiced billing, and a dedicated account manager. Built around your actual usage — not a fixed tier.
Everything you need to know about the Google Trends API.
Sign up free and get 1,000 API credits — enough for 142 trends requests. No credit card required.