seo-api
SE Ranking API integration architect. Covers the whole SE Ranking surface — the Data API (keyword research, backlinks, domain & competitor analysis, SERP, website audit, AI Search) and the Project API (rank tracking, project/keyword/backlink management, marketing plan, sub-accounts, AIRT prompts). Answers any "how do I…" question about endpoints, parameters, JSON schemas, credit cost, rate limits, or auth, and produces ready-to-paste cURL / Python / TypeScript / MCP-tool-call recipes. With explicit confirmation it also wires up Project API state — creating projects, adding keywords, configuring audits, setting up AIRT prompt groups. Pulls live tool schemas from the connected MCP. Unlike the analysis skills (briefs, audits, reports), seo-api produces integration recipes and wired-up state. Use when the user asks how to use the SE Ranking API, which endpoint returns a metric, how to build a rank tracker, for Postman / cURL / Python recipes, or how to integrate with Looker / n8n / Make.
适合你,如果需要通过编程方式获取 SEO 数据和操作 SE Ranking 项目
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
~/.claude/skills/(项目级 .claude/skills/)~/.codex/skills/npx oh-my-skill add seranking/seo-skills/seo-apicurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- seranking/seo-skills/seo-apinpx oh-my-skill verify seranking/seo-skills/seo-api怎么用
技能原文 SKILL.md
Live with the SE Ranking MCP at https://api.seranking.com/mcp. Tool schemas are introspected live; this skill never relies on a frozen snapshot of the API surface.
SE Ranking API Integration Architect
Help developers ship real integrations against the SE Ranking SEO Data API and Project API. The deliverable is either a code recipe (ready-to-paste cURL / Python / TypeScript / MCP-tool-call sequence) or live wiring of Project API state (create projects, add keywords, configure audits, set up AIRT prompts), or both. The skill knows the entire 195-tool surface, the credit and rate-limit cost of every call, and the canonical setup story for every major MCP client.
Prerequisites
- SE Ranking MCP connected at
https://api.seranking.com/mcp. Single API key authenticates bothDATA_*andPROJECT_*tools through the unified gateway. If/mcpdoesn't showse-ranking, the skill emits the install command and stops — seereferences/auth-and-keys.md. - (Optional)
WebFetchfor fetching deep guides atseranking.com/api/data/*andseranking.com/api/project/*when the request needs prose beyond JSON Schema. - User provides: an integration goal in plain language (e.g., "build a rank tracker for client X", "pull all backlinks for these 50 domains into BigQuery weekly", "configure an audit + AIRT prompts for a new project"). The skill interviews only when the goal is ambiguous.
Process
- Preflight.
- Confirm the SE Ranking MCP is reachable. If not, emit: ```bash claude mcp add --transport http se-ranking https://api.seranking.com/mcp ``` and stop. See
references/auth-and-keys.mdfor OAuth vs.X-Api-Keyheader tradeoffs and headless / CI patterns. - Call
DATA_getSubscription(0 credits). Recordunits_left, plan status, expiration —units_leftis the figure to forecast against, and it gets printed in the cost forecast in step 5. Optionally also callDATA_getCreditBalancefor its{ limit, used }view — but the two are not aliases: they report different remaining-credit numbers that do not reconcile (an ~8.6M gap is normal), so treatgetSubscription.units_leftas the source of truth.
- Clarify the goal. Ask 1–3 questions only if the goal is ambiguous. Skip when the user already spelled it out. Useful follow-ups:
- "Is this a one-off run, a recurring job (daily/weekly), or a long-lived integration in your product?"
- "Target country / language / device — or worldwide?"
- "Are we operating on a project you already own in SE Ranking, or just researching domains?"
- Identify the API surface(s). Map the goal to one or both of:
- Data API — research-shaped data on any domain, no prior account setup. Credit-billed. See
references/api-surface-map.md§ "Data API surfaces". - Project API — operations on the user's own SE Ranking projects (rank tracking, audits, AIRT, backlink groups, marketing plan, sub-accounts). Subscription-limit-billed, not credit-billed. Requires Business or Enterprise plan. See
references/api-surface-map.md§ "Project API surfaces". - Many real integrations span both — e.g., a rank-tracker setup uses
PROJECT_createProject+PROJECT_addKeywords+PROJECT_runPositionCheck, then reports useDATA_getDomainKeywordsfor the same domain.
- Map to tools / endpoints. For every step in the integration, name:
- The MCP tool: `
DATA_getDomainKeywordsorPROJECT_addKeywords`. - The underlying REST endpoint + HTTP verb (e.g.,
GET /v1/domain/keywords). - The credit cost (Data API) or limit consumed (Project API). Source costs from
references/rate-limits-and-credits.mdand the per-endpoint pages atseranking.com/api/data/*— MCP tooldescriptionfields carry input schemas and usage notes but not credit costs. - If a tool needs an ID the user didn't supply (project ID, search engine ID, geo region name, language code), insert the prerequisite
*list*or*available*call before it. Seereferences/api-surface-map.md§ "ID resolution".
- Forecast cost. Sum credit cost across all Data API calls. For Project API calls, surface plan-limit impact (e.g., "this consumes 1 Site + 50 Keywords + ~500 Audit Pages from your plan"). Compare against:
units_leftfrom step 1 — if insufficient, surface and stop with the upgrade link.- Plan limits if Project API tools are involved —
PROJECT_getUserProfilereturns current usage; flag if the integration would push a limit over.
- Pick execution mode. Confirm with the user explicitly:
- Code mode — emit ready-to-paste cURL, Python (
requests), TypeScript (fetch), and MCP-tool-call variants. The developer runs them. Default for read-only research, recurring jobs the user wants to own, and anything they want to deploy outside their Claude session. - Live mode — execute the integration step by step via MCP. Confirm every mutating call. Default for one-off Project API setup (new project, add keywords, configure audit, set up AIRT prompt group, etc.) where the user wants the state to exist by the end of this conversation.
- Hybrid — wire up the one-time setup live, emit code for the recurring workload (e.g., "I created the project and added the 50 keywords for you; here's the daily-run Python script to pull positions and write them to BigQuery").
- Execute or emit.
- Code mode — write
code/curl.sh,code/python.py,code/typescript.ts,code/mcp-calls.md. Each file is a complete runnable example, not a fragment. Include error handling for429(rate limit) and403(insufficient credits). Seereferences/integration-patterns.mdfor canonical pattern snippets. - Live mode — for each mutating call (
PROJECT_create*,PROJECT_add*,PROJECT_delete*,PROJECT_update*,DATA_createStandardAudit,DATA_createAdvancedAudit, etc.), print a single-line confirmation: ``` About to call PROJECT_createProject(domain="acme.com", name="ACME Inc — Rank Tracker", country="us"). Consumes: 1 "Site" from your subscription. Proceed? [y/N] ``` Wait for explicity/yes. On anything else, fall back to code mode and emit the equivalent code instead of executing. Read-only calls (DATA_get*,DATA_list*,PROJECT_get*,PROJECT_list*) run without confirmation. Log every call toevidence/03-execution-log.mdwith timestamp, args, response status.
- Synthesise
RECIPE.md. Always written, regardless of mode. The deliverable a developer reads to understand what was built or how to build it. See output format below.
Output format
Folder seo-api-{slug}-{YYYYMMDD}/ where {slug} is a kebab-case summary of the goal (e.g., acme-rank-tracker, bulk-backlinks-bigquery).
seo-api-{slug}-{YYYYMMDD}/
├── RECIPE.md (primary deliverable — what was built or how to build it)
├── code/
│ ├── curl.sh (cURL one-liners + multi-step bash)
│ ├── python.py (idiomatic requests-based script)
│ ├── typescript.ts (fetch + zod-validated responses)
│ └── mcp-calls.md (MCP-tool-call sequence — same workflow, agent-native)
└── evidence/
├── 01-preflight.md (credit balance, subscription status, MCP connectivity check)
├── 02-cost-forecast.md (per-call cost breakdown, plan-limit deltas, total)
├── 03-ids-resolved.md (Project API / search-engine IDs, geo codes resolved upfront — omit if none needed)
└── 04-execution-log.md (every MCP call executed, with args + status — omit in pure code mode where nothing ran)
Top-level: RECIPE.md + code/. The evidence/ folder preserves the reasoning trail; auditors lean on 02-cost-forecast.md and the execution log. 03 and 04 are conditional — a run with no ID lookups and no executed calls (pure code-mode advice) ships just 01 + 02.
RECIPE.md follows this shape:
# {Integration Title}: {target}
> Run dated {YYYY-MM-DD} · Mode: {code | live | hybrid} · Total cost: {n} credits + {plan-limits consumed}
## Goal
{1–2 sentences. What was asked, what's being shipped.}
## API surface map
| Step | MCP tool | REST endpoint | Verb | Cost |
|------|----------|---------------|------|------|
| 1 | `DATA_getCreditBalance` | `/v1/account/subscription` | GET | 0 credits |
| 2 | `PROJECT_listProjects` | `/v1/account/projects` | GET | 0 (plan limit: read) |
| 3 | `PROJECT_createProject` | `/v1/projects` | POST | 1 Site from plan |
| ... | ... | ... | ... | ... |
## Auth & setup
{cURL header / Python session / TypeScript fetch wrapper showing exactly how to authenticate. Reference `references/auth-and-keys.md` for OAuth vs. header tradeoffs.}
## Cost forecast
- Credit cost (Data API): {n} credits ({explanation per call})
- Plan-limit consumption (Project API): {Sites: n, Keywords: n, Audit Pages: n, AIRT Prompts: n}
- Your balance at run time: {units_left} credits, {plan limits available}
- {OK / WARNING: this integration would push X over plan limit}
## Recipe
### Option A — cURL
(complete bash script in `code/curl.sh`)
### Option B — Python
(complete script in `code/python.py`)
### Option C — TypeScript
(complete script in `code/typescript.ts`)
### Option D — MCP tool calls
(agent-native sequence in `code/mcp-calls.md` — for when this integration lives inside another Claude/Cursor/Codex workflow)
## Rate limit & retry strategy
- Data API: 10 RPS, Project API: 5 RPS. Pace sequentially for batched workflows; small-batch parallelism (≤3 concurrent) is safe.
- 429 handling: exponential backoff with jitter (1s → 2s → 4s → 8s, ±20% jitter). 5xx: same. Treat 403 "Insufficient funds" as terminal — no retry.
## What's running now (live mode only)
{Bullet list of MCP calls that were executed, with their outcomes. Pulled from `evidence/04-execution-log.md`.}
## What you still need to do
{Concrete next steps for the developer. E.g., "Run `python.py` daily via cron at 06:00 UTC", "Open the project at https://online.seranking.com/...", "Add a webhook for rank changes via Settings → Notifications".}
## Linked docs
- {Direct links to the relevant pages on `seranking.com/api/data/*` and `seranking.com/api/project/*`.}
## When to escalate to another skill
- `seo-content-brief` — once your integration is pulling keyword data, this skill turns it into editor briefs.
- `seo-technical-audit` — if the integration involves website audits, this skill interprets the audit output.
- `seo-drift baseline` — if the integration's job is to track a domain over time, snapshot it first.
Tips
- Single API key authenticates everything.
API_TOKEN(orX-Api-Keyheader for headless) covers bothDATA_*andPROJECT_*. The legacy split into separate Data and Project keys is gone — passing both still works as headers for backwards compatibility, but you can use justX-Api-Keynow. Seereferences/auth-and-keys.md. - Rate limits are per-API-key, not per-IP. All threads / workers / servers sharing one key contribute to the same 10-RPS (Data) or 5-RPS (Project) budget. For production fan-outs, mint multiple keys via the API Dashboard.
- Failed requests are free. 4xx and 5xx never consume credits. Don't over-engineer cost protection for normal error retries.
- Project API limits are not credits. They consume your subscription's "Sites", "Keywords", "Audit Pages", "AIRT Prompts" quotas. Surface plan-limit impact upfront for any mutating call — these limits are stickier than credits because the user has to upgrade their plan to lift them, not just buy a credit pack.
- Confirm before mutating.
PROJECT_create*,PROJECT_add*,PROJECT_delete*,PROJECT_update*,DATA_create*Audit,DATA_deleteAuditall permanently modify account state. Always print a one-line summary (tool, args, what gets consumed) and wait fory/yesbefore calling. - Use the right ID resolution tool. Most "I want to operate on project X / keyword Y" requests need an ID lookup first. See
references/api-surface-map.md§ "ID resolution" for the full table. Common cases: - Project IDs →
PROJECT_listProjects(orPROJECT_listOwnedProjects/PROJECT_listSharedProjectsfor sub-account setups). - Search engine for rank tracking → pass
country_codedirectly toPROJECT_addSearchEngine(ISO 3166-1 alpha-2). Only fall back toPROJECT_getAvailableSearchEnginesfor regional engines (Catalonia, Turkish-Cypriot Cyprus). - SERP locations →
DATA_getSerpLocations. - Languages →
PROJECT_getGoogleLanguages. - Regions for local rank tracking →
PROJECT_getAvailableRegions(use the verbatimnamefield; abbreviations are rejected). - For exports, poll the status endpoint. Async endpoints (
/backlinks/export,/keywords/export) return a task ID; subsequent polls of*ExportStatuscount against the rate limit but cost 0 credits. Start with a 5s poll interval; exponential backoff if the task is large. - Check the MCP tool description before WebFetching docs. Every MCP tool exposes its full input schema, defaults, and usage notes via the protocol — e.g.
DATA_getDomainCompetitorsdocuments its own ~60KB response cap. One thing the descriptions do not carry: credit costs — for those, usereferences/rate-limits-and-credits.mdand the public per-endpoint pages. - Large list endpoints can overflow the MCP transport.
DATA_getDomainCompetitorson a popular domain — andDATA_getDomainKeywords/DATA_getAllBacklinkson big domains — return responses past the MCP client's inline token limit; the result is auto-saved to a file instead. Recover it with ajqslice on the saved file, or call the REST endpoint directly (raw REST has no size cap). Seereferences/api-surface-map.md. - For "show me Swagger / OpenAPI for the MCP" — point the developer at MCP Inspector (
npx @modelcontextprotocol/inspector https://api.seranking.com/mcp) ormcp-scan. Both walk the live tool/prompt/resource catalogue. A canonical MCP→OpenAPI converter is on the roadmap; for now the inspector output is the source of truth.
Works well with
- Predecessors: none — entry point for any API integration question.
- Successors (when the integration starts producing data):
seo-content-brief— when the integration pulls keyword research that should become editor briefs.seo-page— when one URL from the integration needs a keep/refresh/consolidate/kill verdict.seo-drift baseline— to snapshot a domain or URL before the integration starts running, so regressions are detectable.seo-technical-audit— when the integration involves audit runs and the output needs prioritisation.seo-ai-search-share-of-voice— when the integration tracks AIRT visibility and needs a competitive read.
References
references/auth-and-keys.md— API key formats, OAuth vs. header, headless / CI patterns, key rotation.references/rate-limits-and-credits.md— 10 RPS / 5 RPS, credit billing models, plan-limit consumption, error codes (429, 403), exponential-backoff template.references/api-surface-map.md— full routing table (which API owns what) + ID resolution table + decision tree for "which tool do I need".references/integration-patterns.md— five canonical recipes copy-paste-ready: rank tracker setup, bulk backlink export, audit pipeline, AIRT visibility tracker, keyword research bulk job.