01
Prompt and response runs
Use prompt and response runs to give conversational brand presence a source-linked view with prompt, answer, model or mode, citation, and collection-time context.
All Data API targets
Data API•Managed extraction
ChatGPT Scraper API
Monitor how ChatGPT explains, recommends, and cites across repeatable prompts and multi-turn conversations.
Structured output · Source-aware fields · Parser maintenance included
Available data
ChatGPT coverage for conversational brand presence.
Track prompt and instruction, ChatGPT answer text, and conversation turn across prompt and response runs, cited answer records, and multi-turn conversation sequences and feed the results into conversational brand presence. Measure when brands, products, or entities are named and how they are positioned in generated recommendations.
02
Cited answer records
Build citation monitoring from cited answer records, carrying prompt, answer, model or mode, citation, and collection-time context into delivery.
03
Multi-turn conversation sequences
Capture multi-turn conversation sequences for multi-turn answer regression and retain prompt, answer, model or mode, citation, and collection-time context in the output.
Business use cases
Move from ChatGPT records to conversational brand presence.
Turn source-linked prompt and instruction and ChatGPT answer text into workflows for conversational brand presence and citation monitoring. Track which domains and pages support answers for your controlled prompt portfolio.
Structured output
A source-linked ChatGPT record for conversational brand presence.
Shape the output around prompt and instruction, ChatGPT answer text, and conversation turn, with prompt, answer, model or mode, citation, and collection-time context carried into every refresh. Compare answer content, recommendations, and cited sources across repeated conversation paths over time.
01
Prompt and instruction
Capture prompt and instruction with conversation and collection context for ChatGPT evaluation and monitoring.
02
ChatGPT answer text
Keep ChatGPT answer text connected to the prompt, model or mode, and timestamp for repeatable ChatGPT analysis.
03
Conversation turn
Use conversation turn to compare ChatGPT answers, citations, and result patterns across prompt sets.
04
Model or mode context
Capture model or mode context with conversation and collection context for ChatGPT evaluation and monitoring.
05
Named brand or entity
Preserve named brand or entity as displayed by ChatGPT for content analysis, search, and enrichment.
06
Citation URL and domain
Use citation URL and domain to compare ChatGPT answers, citations, and result patterns across prompt sets.
07
Answer structure and recommendation
Capture answer structure and recommendation with conversation and collection context for ChatGPT evaluation and monitoring.
08
Run and capture time
Use run and capture time to order ChatGPT observations and measure change across refreshes.
How it works
A maintained path from prompt and response runs to ChatGPT answer text.
WebScrapingAPI turns multi-turn conversation sequences into prompt and instruction and ChatGPT answer text records while maintaining collection and parsers.
- 01
Choose source views
Start with prompt and response runs, cited answer records, and multi-turn conversation sequences, then choose the prompts, answer views, models or modes, and citations required for conversational brand presence.
- 02
Select data fields
Focus the output on Prompt and instruction, ChatGPT answer text, and the additional context your application uses.
- 03
Receive structured records
Send prompt and instruction, ChatGPT answer text, and conversation turn 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 ChatGPT source-to-record layer behind multi-turn answer regression.
We maintain multi-turn conversation sequences and prompt and response runs, map prompt and instruction, ChatGPT answer text, and conversation turn, and monitor record quality for multi-turn answer regression.
Your team receives prompt and instruction, ChatGPT answer text, and conversation turn ready for conversational brand presence.
WebScrapingAPI
Managed ChatGPT collection
- Prompt and response runs access
- Prompt and instruction and Conversation turn mapping
- Parser maintenance for cited answer records
- Quality monitoring for conversational brand presence
Ready for your team
ChatGPT data built to move
- Apply Prompt and instruction and Conversation turn to citation monitoring
- Connect citation URL and domain to your applications
- Build citation monitoring into dashboards, models, or alerts
- Scale multi-turn answer regression by volume and refresh cadence
Get started
Test prompt and instruction, ChatGPT answer text, and conversation turn in a representative ChatGPT sample.
Start with multi-turn conversation sequences and prompt and response runs and see prompt and instruction, ChatGPT answer text, and conversation turn in structured output for citation monitoring.
Build with the API
Build your first ChatGPT request.
Use the API guide to collect prompt and response runs with prompt and instruction, ChatGPT answer text, and conversation turn.
View documentationFAQ
ChatGPT Scraper API FAQs.
Learn what data is available, how maintenance works, and how to get started.
What does the ChatGPT Scraper API cover?
ChatGPT Scraper API turns prompt and response runs, cited answer records, and multi-turn conversation sequences into structured records for conversational brand presence, citation monitoring, and multi-turn answer regression.
Which ChatGPT answer views can I collect?
Choose from Prompt and response runs, Cited answer records, and Multi-turn conversation sequences, then select the prompts, answer views, models or modes, and citations and fields required for conversational brand presence.
Which fields can ChatGPT records contain?
Available field families include Prompt and instruction, ChatGPT answer text, Conversation turn, Model or mode context, Named brand or entity, and Citation URL and domain. Request a sample shaped around prompt and instruction, ChatGPT answer text, and conversation turn.
How do I start collecting ChatGPT data?
Start free, then use the ChatGPT API guide to configure your first request and explore available parameters and response fields.
Who maintains ChatGPT source access and parsing?
WebScrapingAPI handles ChatGPT source access, extraction, parser maintenance, and product-level quality monitoring so your team can focus on conversational brand presence.
How can ChatGPT data fit my existing workflow?
Send prompt and instruction, ChatGPT answer text, and conversation turn to answer monitoring, evaluation, and AI visibility systems. Start with sample ChatGPT data, then scale volume and refresh cadence as your workflow grows.
How is ChatGPT 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 ChatGPT data
Start multi-turn answer regression with maintained ChatGPT data.
Start with citation monitoring, or request sample ChatGPT records built around prompt and instruction, ChatGPT answer text, and conversation turn for multi-turn answer regression.