Export Google Trends data skill for AI agents
Get interest-over-time, interest-by-region, and related topics/queries for any keyword, location, time range and Google surface, with side-by-side comparison for up to five keywords.
What the skill does
It tells your agent when a request fits the Google Trends Interest & Related Query Scraper Actor, which input to send and which fields come back (terms, trending term, location, time label and 32 more). The agent runs it through the Apify API with your token and gets JSON rows.
Skill files updated 2026-11-14.Install by hand
Save the five files into a folder named google-trends-interest-and-related-query-scraper: ~/.claude/skills/google-trends-interest-and-related-query-scraper/ for Claude Code, ~/.agents/skills/google-trends-interest-and-related-query-scraper/ for Codex and most other agents.
- SKILL.mdWhen to use the skill, the input and the fields it returns, 6.3 KB
- scripts/run.mjsRuns the Actor with your token (Node 18 or later), 1.2 KB
- references/example-input.jsonA starter input that passes the Actor's schema, 137 bytes
- references/input-schema.jsonEvery input setting the Actor accepts, 309.8 KB
- references/output-fields.jsonEvery field the Actor declares, 1.6 KB
The same five files as one download: google-trends-interest-and-related-query-scraper.zip (59.0 KB).
Run it
Ask your agent in plain words, for example "Google Trends scraper", and it picks the skill from its description. Or run the script yourself:
export APIFY_TOKEN=your_apify_token
cd google-trends-interest-and-related-query-scraper # the skill folder
node scripts/run.mjs # the example input
node scripts/run.mjs my-input.json # your own input Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.
What it returns
| Field | What it is |
|---|---|
| searchTerms | Terms |
| title | Trending term |
| geoName | Location |
| timeRangeLabel | Time label |
| hoursLabel | Window |
| categoryName | Category |
| searchTypeLabel | Type label |
| averageInterest | Avg |
| volumeText | Volume |
| growthPercent | Growth % |
| exploreUrl | URL |
| trendingUrl | Trends URL |
Read SKILL.md
Show the whole file (6.3 KB)
---
name: google-trends-interest-and-related-query-scraper
description: "Get interest-over-time, interest-by-region, and related topics/queries for any keyword, location, time range and Google surface, with side-by-side comparison for up to five keywords. Output fields: searchTerms, title, geoName, averageInterest, growthPercent and more, as JSON rows. Use it for requests like \"Export Google Trends data\", \"Google Trends scraper\", \"related queries\", or a CSV/JSON export of public Google Trends data."
---
# Google Trends Interest & Related Query Scraper
Get interest-over-time, interest-by-region, and related topics/queries for any keyword, location, time range and Google surface, with side-by-side comparison for up to five keywords.
- Actor: https://apify.com/vexaloom-labs/google-trends-interest-and-related-query-scraper (ID `vexaloom-labs~google-trends-interest-and-related-query-scraper`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/google-trends-interest-and-related-query-scraper/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`
Short video breakdown:
- [See the demand curve before the keyword tool](https://www.youtube.com/shorts/gDZBpA25UB8)
## When to use
Use this skill when the user wants:
- Export Google Trends data
- Google Trends scraper
- related queries
- a repeatable export of public Google Trends data as CSV or JSON
Do not use it for private, login-protected or paywalled data.
## What it returns
One JSON row per result. Columns from the Actor's dataset schema:
- `searchTerms`: Terms
- `title`: Trending term
- `geoName`: Location
- `timeRangeLabel`: Time label
- `hoursLabel`: Window
- `categoryName`: Category
- `searchTypeLabel`: Type label
- `averageInterest`: Avg
- `volumeText`: Volume
- `growthPercent`: Growth %
- `exploreUrl`: URL
- `trendingUrl`: Trends URL
All 36 declared fields: `references/output-fields.json`.
## Inputs
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `mode` | string | no | interest | What to scrape. 'Interest over time & related queries' is the Google Trends Explore view (keywords required). 'Trending now' lists what is spiking in a country right now. |
| `searchTerms` | array | no | | One or more search terms to analyze (mode=interest). Each term becomes its own dataset row, or enable Comparison mode to compare up to 5 terms side by side. |
| `compareMode` | boolean | no | false | Compare all search terms on one shared 0-100 scale in a single row (Google Trends comparison view, maximum 5 terms). Off means each term is scraped independently. |
| `startUrls` | array | no | | Paste Google Trends links to scrape them directly: explore links (trends.google.com/trends/explore?q=..., including www.google.com/trends/... |
| `geo` | string | no | | Country, state/region or metro area to analyze. Leave empty for worldwide. Trending Now uses the country part of this location. |
| `timeRange` | string | no | today 12-m | Time window for the interest data (mode=interest). 'now' ranges return minute-level points; 'today' ranges return day/week points. Choose 'Custom range' to enter exact dates below. |
| `customDateRange` | string | no | | Only used when 'Time range' = 'Custom range': 'YYYY-MM-DD YYYY-MM-DD' (e.g. '2024-01-01 2024-12-31') or 'YYYY-MM-DDTHH YYYY-MM-DDTHH' for hourly granularity. |
| `category` | string | no | 0 | Google Trends category filter (mode=interest). 0 = All categories. |
| `searchType` | string | no | | Which Google surface to query (mode=interest). Web Search is the default. |
| `geoResolution` | string | no | | Breakdown level for 'interest by region' (mode=interest). Auto lets Google pick the right level for the location; other levels are applied when the location supports them. |
| `trendingHours` | string | no | 24 | How far back the Trending Now list goes (mode=trending). |
| `trendingCategory` | string | no | all | Filter the Trending Now list to one of Google's trending categories (mode=trending). |
| `includeTrendingNews` | boolean | no | true | Attach news headlines, links and sources from Google's Trending RSS feed to trending items whose titles it covers (about ten highlighted stories per country, anywhere in the list). |
| `maxItems` | integer | no | 100 | Maximum dataset records per run: each interest row counts as one record, each trending item as one record. Remaining work stops once the limit is reached. |
Example (`references/example-input.json`):
```json
{
"mode": "interest",
"searchTerms": [
"ai agents",
"n8n"
],
"geo": "US",
"timeRange": "today 3-m",
"maxItems": 50
}
```
The input passes the Actor's input schema (checked at every publish). First run: `maxItems` = 50, small enough for the 300-second sync wait; raise it once the rows look right.
## Run it
Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):
```bash
curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~google-trends-interest-and-related-query-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d @references/example-input.json > output.json
```
Or with Node 18+: `node scripts/run.mjs [input.json]`.
For large runs, start an async run and read its dataset when it finishes:
```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~google-trends-interest-and-related-query-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
-d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```
## Cost and limits
- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.
## Guardrails
- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.
Same Actor, other ways
- The export Google Trends data n8n workflow: the same job as a scheduled n8n workflow, imported from a URL.
- Google Trends Interest & Related Query Scraper: fields, inputs and price per plan.
- Google Trends Interest & Related Query Scraper in the Apify Store.
Questions people ask
Which agents can use this skill?
Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.
Does the skill cost anything?
The skill is free. Running it starts the Google Trends Interest & Related Query Scraper Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.
What does npx skills add install?
The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.