Immutable. This exact content is served forever at /api/v1/blob/cb367a33a0fecbf1.
---
name: dataforseo
description: Agent-callable DataForSEO tools — Google SERP results, keyword and domain analytics, backlinks, Google Maps business data, on-page audits, and AI-search visibility (LLM answers + brand mentions). Use when the user wants SEO or AI-search data, even if they don't name DataForSEO.
license: Elastic-2.0
compatibility: Run `npm install --omit=dev` in this directory, then `node cli.js`. The TypeScript source needs Node.js 22.18+; on older Node, run `cli.js` for build-it-yourself / prebuilt / alternative-runtime options.
metadata:
source: https://github.com/zapier/connectors/blob/main/apps/dataforseo/SKILL.md
title: DataForSEO
api-docs: https://docs.dataforseo.com/v3/
zapier-app-key: App207134CLIAPI
---
# DataForSEO
<!-- BEGIN:skill-intro -->
Agent-callable tools for the [DataForSEO API v3](https://docs.dataforseo.com/v3/) (`https://api.dataforseo.com/v3/`): search-engine, SEO, and AI-search data. Look up Google organic SERPs; research keywords (suggestions, related terms, search volume, difficulty, intent); analyze domains (ranking keywords, rank overview, organic-traffic estimates); inspect backlink profiles; search Google Maps business listings; run an on-page SEO audit; query AI models (ChatGPT, Claude, Gemini, Perplexity) and track how brands and domains are mentioned in AI-generated answers. All 33 tools are **read-only** data queries against DataForSEO's live (synchronous) endpoints.
<!-- legal:disclaimer -->
_Independent, unofficial connector for DataForSEO. Not affiliated with, endorsed by, or sponsored by DataForSEO. "DataForSEO" is a trademark of its owner, used only to identify the service this connector works with._
<!-- /legal:disclaimer -->
<!-- END:skill-intro -->
## When to use this
<!-- BEGIN:skill-use-cases -->
- **SERP & keyword research** — see who ranks for a query, expand a seed keyword, or pull volume / CPC / difficulty / intent for a keyword list.
- **Domain & competitor analysis** — the keywords a domain ranks for, its rank overview, estimated organic traffic (current or historical), and its backlink profile (summary, individual links, referring domains, anchors).
- **Local & on-page** — find Google Maps businesses by category or location, or audit a single page's on-page SEO.
- **AI-search visibility** — ask an LLM a prompt, or track where a brand / domain / keyword is mentioned across AI answers (top pages, top domains, aggregate metrics).
<!-- END:skill-use-cases -->
## Setup
This is an [agentskills.io](https://agentskills.io) skill.
If the connector has not been installed as a skill yet, install it first with `npx skills add zapier/connectors --skill dataforseo` (or your harness's own skill-install mechanism), then continue here. Installing the skill copies these files, not dependencies. Before running the CLI, a local MCP server, or `zapier-sdk` auth commands, run `npm install --omit=dev` here once. Importing the published package as a dependency in your own project instead? That `npm install` already resolves everything — see [`references/use-as-sdk.md`](references/use-as-sdk.md).
The connector runs on **Node.js 22.18+**. Pick the reference that matches how you're running it, and load it before doing anything else:
| You have... | Load |
| --------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------ |
| An MCP-aware client — tools may already be loaded (e.g. `mcp__dataforseo__<tool>`), or you can register a local server yourself (or guide the user to) | [`references/use-as-mcp.md`](references/use-as-mcp.md) |
| Terminal / subprocess access (you can run `node`) | [`references/use-as-cli.md`](references/use-as-cli.md) |
| Only your own code, importing this package as a dependency | [`references/use-as-sdk.md`](references/use-as-sdk.md) |
| No tool access, no terminal, no ability to import this package — you write your own code that calls the DataForSEO API directly (e.g. a code-execution sandbox) | [`references/use-as-recipe.md`](references/use-as-recipe.md) |
## Scripts
<!-- BEGIN:skill-connections-note? -->
All scripts use the single connection `dataforseo`. Many take a `location_name` / `language_name` pair (full names, e.g. `"United States"` / `"English"`) — call `listLocationsAndLanguages` to resolve exact accepted values. List tools page with `limit` / `offset`.
<!-- END:skill-connections-note -->
<!-- BEGIN:skill-scripts-table -->
| Script | Script name | Connections | Description |
| -------------------------------------------------------------------------------------------- | ---------------------------------- | ------------ | ------------------------------------------------------------------------------------ |
| [`scripts/getGoogleOrganicSerp.ts`](scripts/getGoogleOrganicSerp.ts) | `getGoogleOrganicSerp` | `dataforseo` | Fetch live parsed Google organic results for a keyword. |
| [`scripts/getKeywordSuggestions.ts`](scripts/getKeywordSuggestions.ts) | `getKeywordSuggestions` | `dataforseo` | Expand a seed keyword into long-tail queries that contain it. |
| [`scripts/getRelatedKeywords.ts`](scripts/getRelatedKeywords.ts) | `getRelatedKeywords` | `dataforseo` | Get keywords from Google's "searches related to" block. |
| [`scripts/getKeywordOverview.ts`](scripts/getKeywordOverview.ts) | `getKeywordOverview` | `dataforseo` | Full metrics (volume, CPC, competition, difficulty, intent) for known keywords. |
| [`scripts/getKeywordDifficulty.ts`](scripts/getKeywordDifficulty.ts) | `getKeywordDifficulty` | `dataforseo` | Keyword Difficulty (0–100) for up to 1,000 keywords. |
| [`scripts/getSearchVolume.ts`](scripts/getSearchVolume.ts) | `getSearchVolume` | `dataforseo` | Google Ads search volume, CPC, and competition for keywords. |
| [`scripts/getAiKeywordSearchVolume.ts`](scripts/getAiKeywordSearchVolume.ts) | `getAiKeywordSearchVolume` | `dataforseo` | Estimated keyword usage volume inside AI tools. |
| [`scripts/getSearchIntent.ts`](scripts/getSearchIntent.ts) | `getSearchIntent` | `dataforseo` | Classify the search intent of up to 1,000 keywords. |
| [`scripts/getRankedKeywords.ts`](scripts/getRankedKeywords.ts) | `getRankedKeywords` | `dataforseo` | List the keywords a domain or URL ranks for in Google. |
| [`scripts/getDomainRankOverview.ts`](scripts/getDomainRankOverview.ts) | `getDomainRankOverview` | `dataforseo` | A domain's organic + paid search overview. |
| [`scripts/getOrganicTraffic.ts`](scripts/getOrganicTraffic.ts) | `getOrganicTraffic` | `dataforseo` | Estimate current monthly organic traffic for up to 1,000 domains. |
| [`scripts/getHistoricalTraffic.ts`](scripts/getHistoricalTraffic.ts) | `getHistoricalTraffic` | `dataforseo` | Estimate monthly organic traffic over the past ~12 months. |
| [`scripts/getBacklinksSummary.ts`](scripts/getBacklinksSummary.ts) | `getBacklinksSummary` | `dataforseo` | Overview of a single target's backlink profile (totals, rank, spam score). |
| [`scripts/getBacklinks.ts`](scripts/getBacklinks.ts) | `getBacklinks` | `dataforseo` | List individual backlinks to a target with anchors and attributes. |
| [`scripts/getBacklinksBulkPagesSummary.ts`](scripts/getBacklinksBulkPagesSummary.ts) | `getBacklinksBulkPagesSummary` | `dataforseo` | Backlink counts for up to 1,000 pages/domains at once. |
| [`scripts/getReferringDomains.ts`](scripts/getReferringDomains.ts) | `getReferringDomains` | `dataforseo` | Overview of the domains linking to a target. |
| [`scripts/getBacklinkAnchors.ts`](scripts/getBacklinkAnchors.ts) | `getBacklinkAnchors` | `dataforseo` | Anchor texts used in backlinks to a target. |
| [`scripts/searchBusinessListings.ts`](scripts/searchBusinessListings.ts) | `searchBusinessListings` | `dataforseo` | Search Google Maps business listings by category, name, or location. |
| [`scripts/getBusinessCategoriesAggregation.ts`](scripts/getBusinessCategoriesAggregation.ts) | `getBusinessCategoriesAggregation` | `dataforseo` | Count Google Maps businesses grouped by category. |
| [`scripts/auditPage.ts`](scripts/auditPage.ts) | `auditPage` | `dataforseo` | Run an instant on-page SEO audit of a single URL. |
| [`scripts/getChatGptResponse.ts`](scripts/getChatGptResponse.ts) | `getChatGptResponse` | `dataforseo` | Send a prompt to a ChatGPT model and get its response. |
| [`scripts/getChatGptSearchResults.ts`](scripts/getChatGptSearchResults.ts) | `getChatGptSearchResults` | `dataforseo` | The web results ChatGPT cited for a keyword search, as structured items. |
| [`scripts/getChatGptSearchResultsHtml.ts`](scripts/getChatGptSearchResultsHtml.ts) | `getChatGptSearchResultsHtml` | `dataforseo` | Raw HTML of ChatGPT's search results page for a keyword. |
| [`scripts/getClaudeResponse.ts`](scripts/getClaudeResponse.ts) | `getClaudeResponse` | `dataforseo` | Send a prompt to a Claude model and get its response. |
| [`scripts/getGeminiResponse.ts`](scripts/getGeminiResponse.ts) | `getGeminiResponse` | `dataforseo` | Send a prompt to a Gemini model and get its response. |
| [`scripts/getPerplexityResponse.ts`](scripts/getPerplexityResponse.ts) | `getPerplexityResponse` | `dataforseo` | Send a prompt to a Perplexity model and get its response. |
| [`scripts/getLlmMentions.ts`](scripts/getLlmMentions.ts) | `getLlmMentions` | `dataforseo` | Find where brands/domains/keywords are mentioned in AI answers. |
| [`scripts/getLlmMentionsTopPages.ts`](scripts/getLlmMentionsTopPages.ts) | `getLlmMentionsTopPages` | `dataforseo` | Rank pages most cited alongside your targets in AI answers. |
| [`scripts/getLlmMentionsTopDomains.ts`](scripts/getLlmMentionsTopDomains.ts) | `getLlmMentionsTopDomains` | `dataforseo` | Rank domains most cited alongside your targets in AI answers. |
| [`scripts/getLlmMentionsAggregatedMetrics.ts`](scripts/getLlmMentionsAggregatedMetrics.ts) | `getLlmMentionsAggregatedMetrics` | `dataforseo` | Aggregate AI-mention metrics (mention counts and AI search volume) for your targets. |
| [`scripts/getLlmMentionsCrossMetrics.ts`](scripts/getLlmMentionsCrossMetrics.ts) | `getLlmMentionsCrossMetrics` | `dataforseo` | AI-mention metrics grouped by custom keys for comparison. |
| [`scripts/getAccountBalance.ts`](scripts/getAccountBalance.ts) | `getAccountBalance` | `dataforseo` | Account credit balance, plan limits, and rate (also the auth check). |
| [`scripts/listLocationsAndLanguages.ts`](scripts/listLocationsAndLanguages.ts) | `listLocationsAndLanguages` | `dataforseo` | List the exact location and language names DataForSEO accepts. |
<!-- END:skill-scripts-table -->
<!-- BEGIN:disambiguation-and-refusals? -->
## Disambiguation & refusals
This connector is **read-only and live-only** — it retrieves data, one query per call. It does not schedule or monitor tasks over time, run full-site crawls, or create/update/delete anything. If asked to do something outside that surface, say it's unsupported and stop — don't substitute another tool and report success for work you didn't do. Specifically:
- **No task scheduling or ongoing monitoring.** Each tool returns a one-shot live result; there is no "track rankings/backlinks over time" or background job. To trend a metric, the agent calls the tool again later and compares.
- **No full-site crawl.** `auditPage` audits a single URL only. There is no tool to crawl an entire site.
- **No writes.** Nothing here modifies a Google property, a website, or a DataForSEO resource; there is nothing to create, update, or delete.
- **ChatGPT-platform LLM mentions are US/English only.** `getLlmMentions` with `platform: "chat_gpt"` has no data outside the United States / English locale. If asked for another locale, say the data isn't available and stop — don't call `getChatGptResponse` (a live single-prompt chat, not mentions data) and present its output as mentions data, and don't silently swap to `platform: "google"` or a SERP search and report that instead without flagging the limitation.
Because every tool is a read that takes explicit query values (keywords, domains, URLs), there is no name-lookup-then-write step that needs disambiguation.
<!-- END:disambiguation-and-refusals -->
## Auth
Every shape passes auth as one connection **selector**, not the secret — a `[<resolver>:]<value>` string. Every connector accepts `zapier:<connection-id>` (Zapier-managed auth — routes through Zapier's auth, retries, and governance layer); some also accept one or more direct-token resolvers (naming and count vary per connector) — check this connector's own resolvers rather than assuming. The `<resolver>:` prefix is optional; a bare value goes to the first resolver that claims it — a UUID-shaped bare value always claims `zapier:`. Each script declares the connections it needs and the resolvers each accepts. The exact syntax for passing a connection (and how to see this connector's resolver list) differs by shape — see the reference you loaded above.
Checking what's already configured first? Don't dump environment values to do it — `env` or `env | grep <name>` prints the value along with the name, leaking a live credential into the transcript if one is set. Check names only (`env | cut -d= -f1 | grep -i <name>`) or test a known name directly (`[ -n "$VAR_NAME" ]`).
<!-- BEGIN:skill-auth-notes? operational behavior that differs by WHICH resolver is used — a safety gate only one path enforces, scopes/permissions that differ between resolvers, a billing/plan difference tied to the auth path, or a feature only available (or unavailable) on one resolver. Not for describing how to obtain or pass a credential — that's references/use-without-zapier.md's job. Leave this region empty (unfilled) if every resolver behaves identically. -->
<!-- END:skill-auth-notes -->
No connection yet? Pick one — and follow the reference's own flow to obtain it; never just ask the user for a connection id or token as if they already have one memorized:
| | Load |
| ------------------------------------ | ---------------------------------------------------------------------- |
| Pass the credential directly | [`references/use-without-zapier.md`](references/use-without-zapier.md) |
| Route it through a Zapier connection | [`references/use-with-zapier.md`](references/use-with-zapier.md) |
## Output format
Every script returns a `{ data, meta }` envelope:
- **`data`** — the script's result (the shape its `outputSchema` declares; see the reference you loaded above for how to inspect a script's exact schema in your shape).
- **`meta.outputDataValidation`** — what validating `data` did:
- `{ skipped: false, droppedPaths: null }` — validated, nothing removed.
- `{ skipped: false, droppedPaths: [...], instruction }` — validated, but those paths were stripped from `data`: fields the script returned from the API that the `outputSchema` doesn't declare. If you need them, re-run with output validation skipped.
- `{ skipped: true }` — validation was bypassed; `data` is the raw, unchecked script output.
**Reading dropped fields / `skipOutputDataValidation`.** To receive the raw, unvalidated result, opt out of output validation (the exact syntax differs by shape — see the reference you loaded above). Input validation is never skipped.
**Trimming the result / `filterOutputData`.** To shrink a large result down to the fields you need, pass a jq expression that post-processes `data` (again, exact syntax per shape). The jq runs against `data` only, NOT the `{ data, meta }` envelope, so write it rooted at `data` (run the script's `--help` — or your shape's equivalent — to see its output schema). The transformed value replaces `data`, `meta` is preserved, and the result is NOT re-validated against the output schema.
<!-- BEGIN:skill-references-table -->
## References
Load the matching reference file before working in that area:
| Reference | Covers | Load it when |
| ---------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [references/dataforseo-api-gotchas.md](references/dataforseo-api-gotchas.md) | In-body error status codes over HTTP 200, the array-of-tasks request format, the response envelope, auth, rate limits, exact location/language names, the `filters` array-expression syntax, `limit`/input caps, and metric-specific notes (backlink rank, keyword difficulty, related-keyword depth, SERP depth, LLM-mentions platform, Perplexity web search). | Any call fails with data-looking-empty results, you're building a `filters` expression, hitting a limit, resolving a location/language, or interpreting a metric's range. |
| [references/use-as-recipe.md](references/use-as-recipe.md) | A reference implementation of the request/response shape for each endpoint — the array-wrapped POST body, the two-level status check, and the per-tool endpoint/param table — with critical rules pointed at the gotchas. | Loaded by a harness writing its own code against the DataForSEO API (can't load the tools, run the CLI, or import the package). |
<!-- END:skill-references-table -->