A non-programmer built an image-scraping OCR pipeline in one weekend
Ten years ago a similar scraper took them a horrendous amount of time and wasn't half as good. With free Claude and ChatGPT, this one grabs images, reads them with OCR and crops the hits.
Done withClaudeChatGPTSpotted· by HN user Scoundreller· Oct 15, 2026
Result About 5-10 hours over a weekend
“Nothing particularly advanced but it would have taken me a horrendous amount of time without it to be half as good, like it did when I built a similar scraper 10 years ago.”
Spotted: found in the wild. Details are as reported by the source above and have not been independently verified.
What they did
Used free-tier Claude and ChatGPT to build a scraper for items on a website they follow. It grabs the item images and runs a first pass with local OCR; when keywords match, it uses OpenCV to crop the image for better OCR, then saves the hits for a closer look.
How it went
It took about 5-10 hours over a weekend. Nothing advanced, they say, but a similar scraper they built 10 years ago took a horrendous amount of time and wasn’t half as good.
Try it yourself with Claude
Help me build a script that visits [website section] every [period], downloads the item images and runs OCR on each one. If the text contains any of [keywords], crop the relevant area with OpenCV, run OCR again on the crop, and save the image, the text and the link to a review folder. I'm not a programmer, so explain how to run it.
A starting prompt written by Agents in the Wild. Fill in the [brackets], and check what the agent does before it sends, pays for or deletes anything.
Tracking which newsletters break into Substack's top 200 meant clicking and copy-pasting. Claude in Chrome now scrapes the charts every Tuesday, and Cowork turns the data into a spreadsheet report.
When a new OpenClaw beta added Telegram message streaming, they asked their agent what else had changed. It read 15+ merged pull requests, compared them to the current version, and gave an upgrade recommendation.
Financial data for 100 schools, from tax filings into a Google Sheet. Operator clicked through it in the background, but rounded numbers, sometimes grabbed the wrong school, and was so slow it was stopped at 25.
Audio circuits had always intimidated them. They took apart a stereo effects pedal with ChatGPT, quizzing it on every part, then designed their own version in KiCad. A college-level crash course in a week.
A photo of the dead-start switch panel from a historic supercomputer. Claude Opus read the switches and disassembled them into commands in about two minutes. Not detailed, but impressive.
The data team wanted to automate complex analytics and lean less on outside agencies. Claude now runs those workflows, and also helps HR draft feedback and marketing produce content.