Prompt
Why did my scraping pipeline break after a site redesign?
Latest observation
Site redesigns often break scraping pipelines because scrapers are usually tied to the site’s old structure, not just its content. Common causes:
- HTML changed: CSS classes, IDs, tag hierarchy, or attribute names were renamed/reorganized.
- Selectors became invalid: Your XPath/CSS selectors no longer match the new DOM.
- Content moved: Data may now be in a different section, loaded in modals, tabs, or nested containers.
- JavaScript rendering changed: The site may now load data asynchronously, so static HTML fetches no longer contain the content.
- API endpoints changed: If your scraper depended on hidden JSON/XHR calls, those endpoints or payloads may have changed.
- Anti-bot protections increased: The redesign may have introduced Cloudflare, bot checks, captcha, rate limits, or header validation.
- Pagination/infinite scroll changed: Old “next page” links may be replaced by dynamic loading.
- Text/locale changes: Labels or formatting might differ, breaking regex or parsing logic.
- Authentication/session flow changed: Login, cookies, or token handling may no longer work.
How to diagnose quickly:
- Compare the old and new page source.
- Inspect the DOM after JavaScript loads in browser dev tools.
- Check whether your scraper is using stale selectors.
- Look for network requests that now carry the data.
- Test whether the issue is parsing vs fetching.
If you want, I can help you debug it step by step if you paste:
- the old selector/snippet,
- the new HTML (or a screenshot of the DOM),
- and the language/framework you’re using.
Brands
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.