{"record":{"id":"5c2a7982b1607a47","repo":"unclecode/crawl4ai","slug":"process-html-failed-to-extract-content-from-the-w-5c2a79","errorCode":null,"errorMessage":"Process HTML, Failed to extract content from the website: {url}, error: {str(e)}","messagePattern":"Process HTML, Failed to extract content from the website: (.+?), error: (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"crawl4ai/async_webcrawler.py:794","lineNumber":1852,"sourceCode":"            # add keys from kwargs to params that doesn't exist in params\n            params.update({k: v for k, v in kwargs.items()\n                          if k not in params.keys()})\n\n            ################################\n            # Scraping Strategy Execution  #\n            ################################\n            result: ScrapingResult = scraping_strategy.scrap(\n                url, html, **params)\n\n            if result is None:\n                raise ValueError(\n                    f\"Process HTML, Failed to extract content from the website: {url}\"\n                )\n\n        except InvalidCSSSelectorError as e:\n            raise ValueError(str(e))\n        except Exception as e:\n            raise ValueError(\n                f\"Process HTML, Failed to extract content from the website: {url}, error: {str(e)}\"\n            )\n\n        # Extract results - handle both dict and ScrapingResult\n        if isinstance(result, dict):\n            cleaned_html = sanitize_input_encode(\n                result.get(\"cleaned_html\", \"\"))\n            media = result.get(\"media\", {})\n            links = result.get(\"links\", {})\n            metadata = result.get(\"metadata\", {})\n        else:\n            cleaned_html = sanitize_input_encode(result.cleaned_html)\n            media = result.media.model_dump()\n            links = result.links.model_dump()\n            metadata = result.metadata\n\n        ################################\n        # Generate Markdown            #","sourceCodeStart":1834,"sourceCodeEnd":1870,"githubUrl":"https://github.com/unclecode/crawl4ai/blob/7e801521428ee12509994d39151006f64055ebe3/deploy/docker/c4ai-code-context.md#L1834-L1870","documentation":"Catch-all ValueError from AsyncWebCrawler.process_html: any non-InvalidCSSSelectorError exception raised inside the scraping/processing pipeline is wrapped with the URL and the original error text. The underlying str(e) identifies the true fault; the wrapper only adds context.","triggerScenarios":"Exceptions thrown while parsing html in scrap(): BeautifulSoup/lxml parse errors, memory issues on gigantic pages, KeyError/TypeError bugs in custom strategies or generators, or failures in markdown generation / media extraction steps.","commonSituations":"Malformed or non-UTF8 html passed via arun(html=...); pages over ~50MB choking the parser; a custom markdown_generator or content_filter raising on unexpected DOM shapes; a library version mismatch (lxml/bs4) inside the scraping path.","solutions":["Read the ', error:' suffix - it names the real exception; fix that first","For parse errors on pre-fetched html, sanitize first: html = html.encode('utf-8', 'ignore').decode() and cap size","If the error text points into your custom strategy/generator, unit-test it directly against the failing page's saved HTML","Persist the failing html (curl the URL) so you can reproduce outside the crawler"],"exampleFix":"# before\nresult = await crawler.arun(url=url, config=config)  # ValueError: ..., error: ExpatError\n\n# after\ntry:\n    result = await crawler.arun(url=url, config=config)\nexcept ValueError as e:\n    logger.error(\"extract failed for %s: %s\", url, e)\n    save_debug(url)  # keep the page for offline repro\n    result = None","handlingStrategy":"try-catch","validationCode":"# bound and clean pre-fetched HTML before arun(html=...)\nhtml = html[:10_000_000]  # cap size\nhtml = html.encode(\"utf-8\", \"ignore\").decode(\"utf-8\") if isinstance(html, str) else html","typeGuard":"def is_processable_html_payload(h) -> bool:\n    return isinstance(h, str) and 0 < len(h) <= 10_000_000 and '<' in h","tryCatchPattern":"try:\n    result = await crawler.arun(url=url, config=config)\nexcept ValueError as e:\n    inner = str(e).split(\", error: \")[-1]  # unwrap the real cause\n    logger.error(\"process_html failed for %s: %s\", url, inner)\n    result = None  # or route to a fallback parser","preventionTips":["Save the failing page's HTML on first failure to enable offline repro","Unit-test custom strategies/generators against real page fixtures","Cap page size at fetch time to avoid parser blowups on huge documents"],"tags":["crawl4ai","scraping","error-wrapping","crawler"],"backgroundTag":null,"analyzedSha":"7e801521428ee12509994d39151006f64055ebe3","analyzedAt":"2026-08-14T20:46:20.673Z","schemaVersion":2},"datasetVersion":"2026-08-15T22:17:37.221Z"}