Google Trends Scraper - Interest Over Time & Rising Queries

Google Trends Scraper returns Google Trends data as structured JSON. Interest over time gives the 0-100 search-interest series for a keyword in a country over any window, from the last 7 days to all time or exact dates. Related queries lists the top and rising searches around that keyword, with breakout flags. Use it for keyword research, seasonality analysis, demand forecasting and content planning. Pricing is pay-per-event: $0.003 per request; failed requests are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this scraper do?

• Interest over time (0-100) for any keyword, country and time range.
• Top and rising related queries, with breakout flags.
• Time ranges: last 7 days, 1/3/12 months, 5 years, all time, or exact dates.
• Batch hundreds of keywords cheaply; empty answers are free.

Modes

Mode	What it returns	Price per request
interest	Search interest (0-100) over the chosen time range for a keyword and country	$0.003
related	Top and rising related searches for a keyword	$0.003

What data can you extract?

Field	Description
series[].points	Time series points (date and interest value)
top[].query / value	Top related queries and their score (Related queries)
rising[].query / value / breakout	Rising related queries, growth and breakout flag
search_parameters	Keyword, country and time range used

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to use Google Trends Scraper - Interest Over Time & Rising Queries

1. Open Google Trends Scraper - Interest Over Time & Rising Queries in Apify Console and go to the Input tab.
2. Enter keywords, pick a country and a time range such as today 12-m.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "mode": "interest",
  "keywords": [
    "Hilton"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "mode": "interest",
  "endpoint": "/v1/trends/interest",
  "input": {
    "keyword": "Hilton",
    "geo": "US",
    "time_range": "today 1-m"
  },
  "meta": {
    "elapsed_s": 0.612,
    "source": "google_trends"
  },
  "search_parameters": {
    "engine": "google_trends_interest",
    "geo": "US",
    "keyword": "Hilton",
    "time_range": "today 1-m"
  },
  "series": [
    {
      "points": [
        {
          "date": "2026-09-01",
          "value": 41
        },
        {
          "date": "2026-09-02",
          "value": 38
        }
      ]
    }
  ],
  "total": 4,
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
trends-request	One keyword charted over time, or its related queries. Empty answers are free.	$0.003	$3.00

For example, 1,000 requests in the default mode cost $3.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

Are the values search volumes?

No. Google Trends values are relative interest from 0 to 100, normalised to the highest point in the chosen range and country.

Can I track a keyword's interest automatically?

Yes. Save the keywords as a task and schedule it weekly or monthly; each run returns the full interest curve for the time range you chose.

Can I target a country?

Yes. Set the Country input to a country code to get that country's interest and related queries, or leave it empty for worldwide.

Is it legal to scrape this data?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/google-trends-scraper').call({
    "mode": "interest",
    "keywords": [
        "Hilton"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/google-trends-scraper").call(run_input={
    "mode": "interest",
    "keywords": ["Hilton"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Google Autocomplete Scraper
• Google SERP Scraper

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.