Prompt
unhappy with ParseHub for large scraping jobs
Latest observation
If ParseHub is falling short for large scraping jobs, the usual issues are speed, stability, anti-bot handling, and workflow maintenance. A few better paths depend on what you need:
If you want a no-code / low-code alternative
- Octoparse – good for non-technical users, more robust on large jobs than many visual scrapers.
- Apify – more scalable and flexible; supports actors, proxies, scheduling, and cloud runs.
- Browse AI – easier for simple monitoring/extraction, but less suited for very complex scraping.
- WebHarvy – desktop-based, decent for structured sites.
If you need scale and reliability
- Apify + custom actors
- Bright Data / Zyte / Oxylabs for proxy + scraping infrastructure
- Custom Python scraping with:
requests/httpxBeautifulSoup/lxmlScrapyPlaywrightorSeleniumfor JS-heavy sites
Common reasons ParseHub struggles on large jobs
- Too many pages/items causing timeouts
- Dynamic content loads not captured reliably
- Heavy anti-bot protection
- Poor retry/error handling
- Project logic becomes brittle as sites change
A practical recommendation
- If you need speed + scale: move to Apify or custom Scrapy/Playwright
- If you need easy UI: try Octoparse
- If the site is heavily protected: use a proxy provider + browser automation
If you want, I can recommend the best replacement based on:
- site type (ecommerce, directories, social, etc.)
- size of the scrape
- whether login is required
- your technical comfort level
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation 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.
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