
Website Content Crawler
Pricing
Pay per usage

Website Content Crawler
Crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines. The Actor supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.
3.6 (39)
Pricing
Pay per usage
1421
Total users
55K
Monthly users
8K
Runs succeeded
>99%
Issues response
7.6 days
Last modified
20 hours ago
Crawler fails crawling nike.com
Closed
I get the following error while crawling https://nike.com -
2024-08-14T12:05:17.702Z ERROR PlaywrightCrawler: Request failed and reached maximum retries. frame.content: Permission denied to access property "doctype"2024-08-14T12:05:17.703Z @debugger eval code line 225 > eval:3:132024-08-14T12:05:17.704Z evaluate@debugger eval code:227:172024-08-14T12:05:17.705Z @debugger eval code:1:442024-08-14T12:05:17.705Z2024-08-14T12:05:17.706Z at /home/myuser/node_modules/@crawlee/playwright/internals/utils/playwright-utils.js:417:472024-08-14T12:05:17.707Z at async parseWithCheerio (/home/myuser/node_modules/@crawlee/playwright/internals/utils/playwright-utils.js:414:9)2024-08-14T12:05:17.707Z at async genericHandler (/home/myuser/dist/request-handler.js:68:9)2024-08-14T12:05:17.708Z at async wrap (/home/myuser/node_modules/@apify/timeout/cjs/index.cjs:54:21)
Hello, and thank you for your interest in this Actor!
Websites like nike.com
are notoriously hard to scrape. Companies like Nike implement anti-scraping protection on their website to protect themselves against scalpers.
This is likely why you see the error message when scraping this page with this Actor.
We built Website Content Crawler to be the solution for the top 90% of all pages. Unfortunately, we cannot handle all of the use cases - simply because of the sheer diversity of web content and varying technologies used.
If you want a more customizable solution, check out our Web Scraper. You can partially program this actor and execute your custom logic directly on the page. Alternatively, a quick search in the Apify Store shows some community-made actors for scraping the nike.com
website. Note that these are community-made and not affiliated with Apify in any way.
I'll close this issue now, but feel free to ask additional questions if you have any. Cheers!