Inventory indexed pages for one domain, returning page URLs, ranking distributions, modeled search traffic, and paid-search cost context in normalized records.

Relevant Pages API

Page visibility
Ranking distribution
Traffic estimates
0.15 credits / result
Ready
Ready

Enter parameters and send a request. The task status and normalized results will appear here.

README

Relevant Pages

Relevant pages are indexed URLs with measurable organic or paid search visibility, including keyword counts, position buckets, modeled traffic, cost estimates, and movement signals. These page-level measurements support visibility inventories, footprint comparison, traffic-value review, and repeated snapshot analysis.

Features

  • Domain-level page inventoryReturn absolute URLs for pages of one domain that have measurable organic or paid relevance in the selected search index.
  • Organic ranking distributionPreserve organic keyword counts across position buckets together with new, rising, falling, and lost ranking counts when exposed.
  • Paid search footprintExpose available paid keyword counts, position ranges, modeled traffic, and estimated paid traffic cost for each page.
  • Complete page metric objectsKeep nested organic, paid, and other variable page-level measurements in extra while normalizing the page URL for stable identification.

Parameters

ParametersRequiredDescription
targetRequiredRequired domain without https:// or www., such as example.com.
location_codeOptionalPositive numeric search-market code. The Playground defaults to 2840.
location_nameOptionalOptional search-market name alternative to location_code. When filled, it takes precedence over location_code.
language_codeOptionalSearch language code from 2 through 10 characters. The Playground defaults to en.
languageOptionalOptional search-language name alternative to language_code. When filled, it takes precedence over language_code.
results_limitOptionalRequested maximum from 1 through 1,000 indexed page records. Fewer rows may be returned.
offsetOptionalZero-based number of source rows to skip before collecting the requested result window.

How to Use

Submit one correctly formatted domain with market controls and a bounded source window, then read each relevant page from the completed asynchronous task.

  1. Choose one domain without https:// or www., a location_code, a language_code, a results_limit from 1 through 1,000, and an offset of 0 or greater.
  2. POST the payload to /v1/seo/relevant-pages and save the returned task_id.
  3. Poll /v1/tasks/{task_id} until the task succeeds or returns a failure.
  4. Read data.results.items, then request the returned next_cursor while has_more remains true.
curl -X POST "https://api.socq.ai/v1/seo/relevant-pages" \
  -H "Authorization: Bearer $SOCQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"target":"microsoft.com","location_code":2840,"language_code":"en","results_limit":5}'

# Poll GET /v1/tasks/{task_id}
# Read data.results.items and follow next_cursor while has_more is true

Best Use Cases

  • Search-visible page inventory: Use returned page URLs to build a domain inventory limited to pages with measurable indexed search relevance.
  • Organic footprint comparison: Compare organic keyword counts, ranking buckets, and movement fields to identify how visibility is distributed across pages.
  • Paid search page review: Use paid keyword counts, position ranges, modeled traffic, and estimated cost to compare the paid footprint of returned pages.
  • Page visibility snapshots: Store repeated records by page_address and market to compare ranking distributions and modeled traffic across collection times.

Pro Tips

  • Remove https:// and www. from target before submission because this endpoint expects a domain rather than a complete page URL.
  • Use the returned url as the page identifier; text is the same URL fallback and does not contain page body content.
  • Keep target, location_code, language_code, results_limit, and offset fixed when comparing repeated result windows.
  • Treat offset as a source-row count rather than a page number, and store it separately from the task-result next_cursor.
  • Read organic and paid measurements from extra.metrics, and allow nested metric groups or individual fields to be absent.
  • Interpret etv and estimated_paid_traffic_cost as modeled search estimates rather than private analytics or observed revenue.

Use these APIs when you need a different type of public SEO data.

  • Google Organic SERP APIRetrieve one live Google result page by query and market with normalized destinations, ranks, element types, and full result details.
  • Keyword Difficulty APICompare organic ranking difficulty for a submitted keyword batch, returning each available keyword with its normalized score.
  • Keyword Overview APIEnrich a submitted keyword batch with available demand, paid competition, difficulty, monthly-search, and intent context.
  • Keyword Search Volume APIMeasure known keywords with available search volume, CPC, paid competition, and monthly search history.
  • Keywords for Site APIGenerate keywords relevant to one website with available demand measurements, monthly history, market context, and complete source rows.
  • Keyword Suggestions APIExpand one seed query into matching long-tail terms with available demand measurements, monthly history, intent context, and complete source rows.
  • Ranked Keywords APIFind keywords a domain, subdomain, or page ranks for, with matching URLs, positions, search measurements, intent, and complete source elements.
  • Related Keywords APIFollow related-search paths from one seed query with depth controls, available keyword measurements, intent context, and complete source rows.
  • Search Intent APIClassify primary and secondary search intent for a submitted keyword batch while preserving source probabilities and complete records.

Relevant Pages APIFAQ