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abhibavishi

RankParse SEO API

by Abhi Bavishi · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
130
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0
Active Installs
2
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Install in OpenClaw
/install rankparse
Description
Fetch SEO data like backlinks, domain authority, tech stack, page metadata, and competitor overlaps for any domain or URL using RankParse API.
README (SKILL.md)

RankParse SEO API

RankParse gives you live SEO data — backlinks, domain authority, tech stack, competitor overlap, and 20+ other signals — for any domain or URL. No subscription. Credits from $0.009/call.

When to use this skill

Use RankParse when the user is doing SEO work:

  • Link building — finding prospects, auditing competitors' backlinks, spotting link gaps
  • Competitor research — comparing DA scores, top pages, referring domains across sites
  • Site audits — checking tech stack, page metadata, crawl history, status codes
  • Content strategy — finding which pages earn the most links in a niche
  • Prospecting — discovering similar domains or shared linkers for outreach lists

Common SEO workflows

Competitor link gap analysis

Find domains linking to competitors but not to you — ranked by authority for outreach prioritization.

  1. get_backlinks for your domain
  2. get_backlinks for each competitor
  3. get_domain_overlap across all targets
  4. get_domain_authority on gap domains to prioritize

Prompt: "Find link-building opportunities I'm missing vs stripe.com and shopify.com"

Domain authority comparison

Benchmark a site against competitors before a pitch, acquisition, or partnership.

  1. get_domain_authority for each domain

Prompt: "Compare the DA of linear.app, height.app, and plane.so"

Backlink profile audit

Understand the quality and anchor text distribution of a site's inbound links.

  1. get_referring_domains — unique linking domains
  2. get_anchor_text — anchor text distribution, flag over-optimized anchors
  3. get_backlinks — top individual links with source pages

Prompt: "Audit the backlink profile of example.com — flag anything that looks spammy"

Top pages by link equity

Find what content earns the most links in a niche to inform your content strategy.

  1. get_top_pages for competitor domains

Prompt: "What pages on vercel.com attract the most backlinks?"

Outreach list building

Build a targeted list of prospects to contact for guest posts or link placements.

  1. get_similar_domains — sites with overlapping link profiles
  2. get_link_intersect — domains already linking to multiple competitors
  3. get_domain_authority — filter by DA threshold

Prompt: "Build me a list of 20 sites similar to smashingmagazine.com with DA over 50"

Site technical audit

Quickly check a site's tech stack, page signals, and crawl health.

  1. get_tech_stack — CMS, analytics, CDN, frameworks
  2. get_page_meta — title, description, canonical, OG tags
  3. get_crawl_history — first seen, last crawled

Prompt: "What tech stack and CMS is competitor.com running?"

Setup

RANKPARSE_API_KEY=rp_your_key_here

Get a free key with 100 credits at https://rankparse.com/signup.

MCP server

{
  "mcpServers": {
    "rankparse": {
      "url": "https://mcp.rankparse.com/mcp",
      "headers": {
        "X-API-Key": "${RANKPARSE_API_KEY}"
      }
    }
  }
}

Available tools

Tool What it does Credits
get_domain_authority DA score, referring domains, registered date, popularity rank 1
get_backlinks Inbound links with anchor text and source pages 2
get_referring_domains Unique domains linking to target 2
get_anchor_text Anchor text distribution 2
get_top_pages Pages with most inbound links 2
get_outbound_links External links from a domain 2
get_domain_rank Rank metrics and scores 2
get_site_explorer Full domain overview 10
get_page_meta Title, description, canonical, OG tags 2
get_tech_stack Detected technologies 2
get_url_index Indexed URLs for a domain 2
get_crawl_history Crawl timestamps 2
get_status_codes HTTP status distribution 2
get_content_types Content type breakdown 2
get_language Language distribution 2
get_domain_overlap Domains linking to multiple targets 5
get_link_intersect Shared linkers between two domains 5
get_similar_domains Domains similar to target 5

Pricing

Credits never expire. Packs start at $9 for 1,000 credits (~1,000 DA lookups or ~500 backlink queries).

Usage Guidance
This skill appears purpose-aligned for SEO research. Before installing, verify that you trust RankParse, use a dedicated API key if available, monitor paid credit usage, and avoid sending sensitive private URLs unless you are comfortable sharing them with the provider.
Capability Analysis
Type: OpenClaw Skill Name: rankparse Version: 1.0.1 The RankParse skill bundle is a standard integration for an SEO API service. It provides documentation (SKILL.md) and metadata (_meta.json) for an MCP-based agent to perform SEO tasks like backlink audits and domain authority checks. There is no executable code provided, and the instructions are consistent with the stated purpose, with no evidence of malicious intent, data exfiltration, or prompt injection.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The advertised workflows and available tools match the stated SEO research purpose. The tools query SEO-style data for domains or URLs and disclose their credit costs.
Instruction Scope
The instructions describe normal user-directed SEO workflows and do not show hidden autonomy. Large multi-step workflows could consume multiple paid API calls, so users should confirm broad analyses.
Install Mechanism
There is no local install code. Setup is a manual MCP configuration using a RankParse API key, but registry metadata says there are no required env vars or primary credential even though SKILL.md describes one.
Credentials
The skill relies on an external RankParse MCP endpoint, which is proportionate for an API integration. Queried domains or URLs will be sent to that provider.
Persistence & Privilege
No elevated OS permissions, background persistence, or local file access are shown. The main persistent item is the user’s API key in environment or MCP configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install rankparse
  3. After installation, invoke the skill by name or use /rankparse
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Expanded with SEO use cases and multi-step workflow examples
v1.0.0
- Initial release of the RankParse SEO API skill. - Fetch backlinks, domain authority, tech stack, and 20+ SEO signals for any domain or URL. - Includes tools for link analysis, page metadata, tech stack detection, and competitor research. - Simple, pay-per-use pricing at $0.003 per call; credits never expire. - Requires API key setup; MCP integration provided.
Metadata
Slug rankparse
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is RankParse SEO API?

Fetch SEO data like backlinks, domain authority, tech stack, page metadata, and competitor overlaps for any domain or URL using RankParse API. It is an AI Agent Skill for Claude Code / OpenClaw, with 130 downloads so far.

How do I install RankParse SEO API?

Run "/install rankparse" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is RankParse SEO API free?

Yes, RankParse SEO API is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does RankParse SEO API support?

RankParse SEO API is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created RankParse SEO API?

It is built and maintained by Abhi Bavishi (@abhibavishi); the current version is v1.0.1.

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