docs: migrate chat-webpage-simple-rag cookbook to v2 API (5/N)#95
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- Client -> ScrapeGraphAI (auto-reads SGAI_API_KEY) - markdownify(website_url=) -> scrape(url, formats=[MarkdownFormatConfig()]) - Drop scrapegraph_py.logger.sgai_logger (no longer exists) -> stdlib logging - Response shape: response['result'] (str) -> "\\n\\n".join(response.data.results["markdown"]["data"]) (list[str]) - Update dashboard URL: dashboard.scrapegraphai.com -> scrapegraphai.com/dashboard - Swap outdated banner image Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Dependency Review✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.Scanned FilesNone |
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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Fifth of N PRs (follows #91, #92, #93, #94) restoring + migrating the cookbook notebooks that were removed in 1f3b123 to the v2 SDK API. This PR migrates
cookbook/chat-webpage-simple-rag/scrapegraph_burr_lancedb.ipynb— the heavy one (RAG pipeline with Burr + LanceDB + OpenAI + OpenTelemetry).Migration
from scrapegraph_py import Clientfrom scrapegraph_py import ScrapeGraphAI, MarkdownFormatConfigfrom scrapegraph_py.logger import sgai_loggersgai_logger.set_logging(level="INFO")logging.basicConfig(level=logging.INFO)(stdlib)Client()ScrapeGraphAI()sgai_client.markdownify(website_url=url)sgai_client.scrape(url, formats=[MarkdownFormatConfig()])response["result"](str)"\n\n".join(response.data.results["markdown"]["data"])(list[str] → joined str) +.statuscheckhttps://dashboard.scrapegraphai.com/https://scrapegraphai.com/dashboardNotable v2 response shape change
scrape()returnsresponse.data.results["markdown"]["data"]aslist[str](one element per page), not a single string like the oldmarkdownify(). Cell 15'sfetch_webpageaction now joins them with\n\nbefore passing into the chunking pipeline.Validation
jupyter nbconvert --execute— migrated cells (11, 14, 15) all run clean. Verifiedscrape()returns proper markdown; chunking + embedding (cell 22) consumes the joined string correctly. Fullapp.run()pipeline (cell 29) takes >10 min due to OpenAI embedding all chunks ofscrapegraphai.com— that's pre-existing notebook behavior, not a migration regression.Follow-ups (separate PRs, not blocking)
This completes all 5 direct-SDK notebooks. Remaining cookbook work:
langchain-scrapegraphwrapper, need separate verificationllama-index-tools-scrapegraphwrapper, need separate verification🤖 Generated with Claude Code