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Webpage Text Extractor
Extract clean text and Markdown from public web pages
Turn public web pages into clean text, article text, or Markdown for LLM prompts, RAG inputs, content review, and exports. Add URLs, choose the text shape, and get page text with metadata, headings, links, counts, redirects, and timestamps.
Hi Product Hunt,
I built Webpage Text Extractor as part of my Apify actor portfolio.
It takes public HTML pages and returns clean text, article text, or Markdown, plus useful page details like title, metadata, headings, links, word counts, final URL, and scrape time.
It is useful for LLM prompts, RAG inputs, content review, and simple spreadsheet exports when you do not want to copy page text by hand.
If you try it, please let me know what you think 🫡
The option to pick clean text, article text, or Markdown before you scrape is a really thoughtful touch, it saves a whole preprocessing step on the way into a prompt. Nice work making metadata and headings just part of the default payload too.
how does it handle pages that block scrapers or require login, is there a way to pass cookies or proxy through when a site throws a 403?
Love how the output bundles the metadata, headings, and link counts right alongside the cleaned text instead of burying them in a separate panel. Makes it dead simple to drop straight into a RAG pipeline without extra cleanup.
How does it handle pages that are mostly JavaScript rendered, like SPAs or sites that lazy load content?
How does it handle pages that block scraping or require login, and does it respect robots.txt under the hood?
Pasted in a few long articles and the Markdown output kept headings and links intact, which saved me a bunch of cleanup before feeding it into a prompt. The redirect and timestamp metadata was a nice touch I didn't expect.
How does it handle pages that are heavily JavaScript-rendered or gated behind a login, and is there an API I can hit so I can pipe results straight into my own scripts?
The metadata alongside the extracted text is a really thoughtful touch, makes it way more useful for RAG pipelines than just dumping content.
How does the extractor handle pages behind paywalls or ones that require JS rendering to show the actual content?
The metadata + heading breakdown alongside the cleaned text is such a thoughtful touch, makes feeding context to LLMs way less painful than scraping manually.
Tried it on a couple of long reads and the Markdown output came back really clean, links and headings preserved nicely. The redirect flag was a nice touch, saved me from chasing broken sources.
About Webpage Text Extractor on Product Hunt
“Extract clean text and Markdown from public web pages”
Webpage Text Extractor was submitted on Product Hunt and earned 5 upvotes and 12 comments, placing #108 on the daily leaderboard. Turn public web pages into clean text, article text, or Markdown for LLM prompts, RAG inputs, content review, and exports. Add URLs, choose the text shape, and get page text with metadata, headings, links, counts, redirects, and timestamps.
Webpage Text Extractor was featured in Productivity (656.2k followers), API (98.4k followers) and Developer Tools (515.9k followers) on Product Hunt. Together, these topics include over 233.4k products, making this a competitive space to launch in.
Who hunted Webpage Text Extractor?
Webpage Text Extractor was hunted by Maxime Dupré. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Maxime Dupré