Google Trends Scraper

Scrape Google Trends as clean structured JSON - interest over time, interest by region (country, region, city or US metro) and top and rising related queries and topics - for any term, or compare up to 5 terms on one chart. Any location, time range, category and Google property (web, images, news, YouTube, shopping). No proxies, browsers or rate limits to deal with.

Features

• Interest over time - one point per time bucket with a 0-100 value per term, ISO date, Unix timestamp and a partial-data flag.
• Comparisons - put up to 5 comma-separated terms on one line to get them on the same scale, with averages.
• Interest by region - worldwide by country, or inside a country by region, city or US metro (DMA).
• Related queries - top and rising, with values and links, for every term.
• Related topics - top and rising (optional).
• Filters exactly like trends.google.com: location, time range (presets or a custom date range, hourly for the last 7 days), category and property.
• Many searches per run - one line per search.

Use cases

• Keyword and content research, seasonality and demand forecasting.
• Brand and competitor comparison over time and across regions.
• Spotting rising queries for SEO and product ideas.
• Feeding dashboards and BI tools with regular Trends snapshots.

Input

Field	Type	Default	Description
search_terms	array	["web scraping"]	One search per line: a term, or up to 5 comma-separated terms to compare.
geo	string	worldwide	ISO-2 country (US), region (US-CA) or US metro (US-CA-807).
timeframe	string	today 12-m	now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all.
custom_time_range	string	-	YYYY-MM-DD YYYY-MM-DD, overrides timeframe.
property	string	web	web, images, news, youtube or shopping.
category	integer	0	Trends category ID (0 = all).
interest_by_region	boolean	true	Include the region map.
related_queries	boolean	true	Include related queries.
related_topics	boolean	false	Include related topics.
region_resolution	string	auto	country, region, city or dma.
include_low_volume	boolean	false	Include low-volume regions.
hl	string	en-US	Language of labels.
tz	integer	0	Timezone offset in minutes (300 = UTC-5).

Example input

{
  "search_terms": ["coffee,tea,matcha", "electric bike"],
  "geo": "US",
  "timeframe": "today 5-y",
  "related_topics": true
}

Output

One dataset item per search (shortened):

{
  "searchTerm": "web scraping",
  "keywords": ["web scraping"],
  "geo": null,
  "timeframe": "today 12-m",
  "property": "web",
  "resolution": "WEEK",
  "exploreUrl": "https://trends.google.com/trends/explore?date=today%2012-m&q=web%20scraping&hl=en-US",
  "interestOverTime": [
    { "date": "2025-09-28T00:00:00Z", "timestamp": 1759017600, "formattedTime": "Sep 28 - Oct 4, 2025", "values": { "web scraping": 61 }, "isPartial": false }
  ],
  "averages": null,
  "interestByRegion": [
    { "geoCode": "IN", "geoName": "India", "values": { "web scraping": 100 } }
  ],
  "regionResolution": "COUNTRY",
  "relatedQueries": {
    "web scraping": {
      "top": [{ "query": "web scraping ai", "value": 100, "formattedValue": "100" }],
      "rising": [{ "query": "firecrawl", "value": 300, "formattedValue": "+300%" }]
    }
  },
  "relatedTopics": null,
  "errors": []
}

Searches that fail are listed in the ERRORS record of the key-value store and are not billed.

Pricing

$1 per 1000 searches. A comparison of up to 5 terms counts as one search. Failed searches are not charged.

Notes

• Values are relative (0-100) within each search, exactly as on trends.google.com; compare terms in one search to put them on the same scale.
• Very small terms may have no data for narrow locations or short time ranges.