01
Grok answer results
Use Grok answer results to give social-to-answer visibility a source-linked view with prompt, answer, model or mode, citation, and collection-time context.
All Data API targets
Data API•Managed extraction
Grok Scraper API
Capture Grok answers, web references, X-linked sources, and conversation turns for real-time narrative and brand visibility analysis.
Structured output · Source-aware fields · Parser maintenance included
Available data
Grok coverage for social-to-answer visibility.
Track prompt and conversation context, answer mode and structure, and web citation URLs and domains across Grok answer results, web and X source panels, and multi-turn conversation threads and feed the results into social-to-answer visibility. See which brands, publishers, accounts, and posts move from the live conversation into Grok answers and references.
02
Web and X source panels
Build fast-moving narrative tracking from web and X source panels, carrying prompt, answer, model or mode, citation, and collection-time context into delivery.
03
Multi-turn conversation threads
Capture multi-turn conversation threads for competitive answer benchmarking and retain prompt, answer, model or mode, citation, and collection-time context in the output.
Business use cases
Move from Grok records to social-to-answer visibility.
Turn source-linked prompt and conversation context and answer mode and structure into workflows for social-to-answer visibility and fast-moving narrative tracking. Compare how Grok frames developing topics as source selection, claims, and conversation context change.
Structured output
A source-linked Grok record for social-to-answer visibility.
Shape the output around prompt and conversation context, answer mode and structure, and web citation URLs and domains, with prompt, answer, model or mode, citation, and collection-time context carried into every refresh. Measure brand inclusion, cited evidence, and answer positioning across a repeatable set of commercial questions.
01
Prompt and conversation context
Capture prompt and conversation context with conversation and collection context for Grok evaluation and monitoring.
02
Generated answer content
Pair generated answer content with currency, market, and collection time for clear Grok comparisons.
03
Answer mode and structure
Use answer mode and structure to compare Grok answers, citations, and result patterns across prompt sets.
04
Web citation URLs and domains
Capture web citation URLs and domains with conversation and collection context for Grok evaluation and monitoring.
05
Referenced X posts and accounts
Preserve referenced X posts and accounts as displayed by Grok for content analysis, search, and enrichment.
06
Citation position and association
Use citation position and association to compare Grok answers, citations, and result patterns across prompt sets.
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Conversation turn sequence
Capture conversation turn sequence with conversation and collection context for Grok evaluation and monitoring.
08
Capture timestamp and response state
Use capture timestamp and response state to monitor how Grok availability changes across selected views and refreshes.
How it works
A maintained path from Grok answer results to answer mode and structure.
WebScrapingAPI turns multi-turn conversation threads into prompt and conversation context and answer mode and structure records while maintaining collection and parsers.
- 01
Choose source views
Start with Grok answer results, web and X source panels, and multi-turn conversation threads, then choose the prompts, answer views, models or modes, and citations required for social-to-answer visibility.
- 02
Select data fields
Focus the output on Prompt and conversation context, Generated answer content, and the additional context your application uses.
- 03
Receive structured records
Send prompt and conversation context, answer mode and structure, and web citation URLs and domains to answer monitoring, evaluation, and AI visibility systems, with prompt, answer, model or mode, citation, and collection-time context attached.
- 04
Scale with managed quality
WebScrapingAPI maintains access, extraction logic, parsers, and product-level monitoring as your workload grows.
Managed maintenance
WebScrapingAPI maintains the Grok source-to-record layer behind competitive answer benchmarking.
We maintain multi-turn conversation threads and Grok answer results, map prompt and conversation context, answer mode and structure, and web citation URLs and domains, and monitor record quality for competitive answer benchmarking.
Your team receives prompt and conversation context, answer mode and structure, and web citation URLs and domains ready for social-to-answer visibility.
WebScrapingAPI
Managed Grok collection
- Grok answer results access
- Prompt and conversation context and Answer mode and structure mapping
- Parser maintenance for web and X source panels
- Quality monitoring for social-to-answer visibility
Ready for your team
Grok data built to move
- Apply Prompt and conversation context and Answer mode and structure to fast-moving narrative tracking
- Connect citation position and association to your applications
- Build fast-moving narrative tracking into dashboards, models, or alerts
- Scale competitive answer benchmarking by volume and refresh cadence
Get started
Test prompt and conversation context, answer mode and structure, and web citation URLs and domains in a representative Grok sample.
Start with multi-turn conversation threads and Grok answer results and see prompt and conversation context, answer mode and structure, and web citation URLs and domains in structured output for fast-moving narrative tracking.
Sample data
Start with representative Grok records.
Choose Grok answer results and see prompt and conversation context, answer mode and structure, and web citation URLs and domains in structured output shaped for social-to-answer visibility.
Talk to a data expertFAQ
Grok Scraper API FAQs.
Learn what data is available, how maintenance works, and how to get started.
What does the Grok Scraper API cover?
Grok Scraper API turns Grok answer results, web and X source panels, and multi-turn conversation threads into structured records for social-to-answer visibility, fast-moving narrative tracking, and competitive answer benchmarking.
Which Grok answer views can I collect?
Choose from Grok answer results, Web and X source panels, and Multi-turn conversation threads, then select the prompts, answer views, models or modes, and citations and fields required for social-to-answer visibility.
Which fields can Grok records contain?
Available field families include Prompt and conversation context, Generated answer content, Answer mode and structure, Web citation URLs and domains, Referenced X posts and accounts, and Citation position and association. Request a sample shaped around prompt and conversation context, answer mode and structure, and web citation URLs and domains.
How do I start collecting Grok data?
Start free or request sample Grok data. Our team can help you choose the source views, fields, and delivery option that fit your workflow.
Who maintains Grok source access and parsing?
WebScrapingAPI handles Grok source access, extraction, parser maintenance, and product-level quality monitoring so your team can focus on social-to-answer visibility.
How can Grok data fit my existing workflow?
Send prompt and conversation context, answer mode and structure, and web citation URLs and domains to answer monitoring, evaluation, and AI visibility systems. Start with sample Grok data, then scale volume and refresh cadence as your workflow grows.
How is Grok Scraper API priced?
Pricing depends on source, volume, frequency, fields, and delivery method. Start free for an initial test or talk to a data expert for a plan matched to your workload.
Your Grok data
Start competitive answer benchmarking with maintained Grok data.
Start with fast-moving narrative tracking, or request sample Grok records built around prompt and conversation context, answer mode and structure, and web citation URLs and domains for competitive answer benchmarking.