google-trends-api
Skill3 starsChanged 3 months agoMIT-0View on GitHub
Google Trends data toolkit via ScraperSocial — interest-over-time exploration and rising related queries.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- scavio-ai/skillstheir own version, first seen Oct 11, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- scavio-ai/skills★ 48same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 33
Read public Google Trends data as clean JSON.
- Very specific: line 68
Every script also accepts --limit, --cursor, --fields, --format and --fresh.
- Distinctive: line 76
Every response uses the same envelope:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Google Trends API skill
Read public Google Trends data as clean JSON. This Google Trends API skill has two endpoints: explore returns interest-over-time for a term, and rising returns the related queries gaining momentum around it — the standard inputs for keyword research, trend spotting and content planning.
This skill wraps 2 live Google Trends endpoints from the ScraperSocial API. Public data only, returned as clean JSON.
When to use this skill
- You are checking whether interest in a topic is growing or fading.
- You want the rising related searches around a seed keyword, for content or SEO planning.
- A user asks whether something is trending.
Do not use this skill when
- You need absolute search volume. Trends returns relative interest, indexed to 100 — it is not a volume estimate, and no endpoint here converts it into one.
- You need per-result cheapness.
explorecosts 6 credits, the priciest non-AI call in this repo outside the video endpoints. Do not loop it over a large keyword list without checking the budget.
Setup
export SCRAPERSOCIAL_KEY=sk_live_... # https://scrapersocial.com/app/keysSigning up at scrapersocial.com/signup includes 100 free credits, no card required.
Permissions and scope
These scripts do exactly three things and nothing else: read one environment variable (SCRAPERSOCIAL_KEY), send HTTPS requests to https://api.scrapersocial.com (the host is a constant in the code, not configurable), and print JSON. They run as node scripts/<name>.js with no other shell use, no file writes and no persistence. call_endpoint.js accepts only the 2 documented /v1/google_trends/ paths in the table below and refuses anything else before a request is made.
Scripts
| Script | What it does | Input | Credits |
get_explore.js | Get Google Trends explore. | query | 6 credits |
get_rising.js | List Google Trends rising. | query | 3 credits per query |
call_endpoint.js | Call any /v1/google_trends/ endpoint directly | path + params | varies |
Every script also accepts --limit, --cursor, --fields, --format and --fresh. --limit is clamped to 50: above that the API returns an async job instead of data.
Example
node skills/google-trends-api/scripts/get_explore.js "electric vehicles"Every response uses the same envelope:
{ "data": {}, "meta": { "count": 20, "next_cursor": "..." }, "request_id": "a18e4ef88ad4b00b" }meta appears on paginated endpoints only. Keep request_id — support traces calls with it.
Endpoints
| Endpoint | Input | Returns | Credits | Paginated |
/v1/google_trends/explore | query | report | 6 credits | no |
/v1/google_trends/rising | query | query | 3 credits per query | yes |
Costs shown per item for paginated endpoints, per call otherwise. Failed calls are not charged.
FAQ
How do I get interest over time for a keyword?
get_explore.js with the query, 6 credits per call.
How do I find rising related searches?
get_rising.js with a seed query, 3 credits per result returned.
Does this give me search volume numbers?
No. Google Trends publishes relative interest on a 0–100 index, not absolute volume. Anything presenting it as volume is inferring, not reporting.
Is this an official Google API?
No. ScraperSocial is independent and not affiliated with Google.
Links
Disclaimer
ScraperSocial is an independent product and is not affiliated with, endorsed by, or sponsored by any platform named in this repository. All product names, logos and brands are property of their respective owners. These skills return only publicly available data.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

