Kindle Clippings Parser
Under maintenancePricing
$200.00 / 1,000 kindle clippings parseds
Kindle Clippings Parser
Under maintenancePricing
$200.00 / 1,000 kindle clippings parseds
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Developer
Andrew
Maintained by CommunityActor stats
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Total users
1
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a day ago
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Turn your Kindle's My Clippings.txt into clean, deduplicated JSON — no
account, no subscription, pay only for what you parse.
Your Kindle quietly logs every highlight, note, and bookmark into a single
My Clippings.txt file. That file is a mess: duplicate entries, locale-dependent
headers, titles that contain parentheses, books merged together. This Actor
parses it and returns one structured record per book.
What you get
- Books grouped — title + author extracted correctly, even when titles
contain parentheses (
Vol. 2 (Series) (Real Author)). - Highlights, notes, and bookmarks separated — with location, page, and
added_ondate per entry. - Deduplication — Kindle's sync duplicates are removed.
- Encoding and locale handled — UTF-8 BOM, CRLF, German/Spanish metadata
lines (
Position/posición), files that would crash a naive parser. - Deterministic — no AI involved, no hallucination risk, instant results.
Example input
Or pass a url to a publicly hosted copy of the file.
Example output (dataset row)
A final report row summarizes counts for the whole file.
Pricing
- $0.20 per parsed file (event
file-parsed, charged once per successful run). - Platform usage is not passed through — the price is the price.
- No subscription. Typical run: under 2 seconds.
Limits
- Max input 15 MB (or 20 MB via URL). Larger files are rejected with a clear error.
- URL fetching: public http(s) only; private addresses are blocked for your safety.
- Output format: JSON only (v1). Markdown/CSV export is on the roadmap.
- Real files only — this is a parser, not a scraper. Nothing is stored after your run: the parsed JSON lives in your own Apify storage, and nothing is retained by the developer.
Use it
- Console: paste your file contents and hit Run.
- API: POST a run with the JSON input above; read the dataset when finished.
- AI agents / MCP: call it as a tool and get structured highlights for your own second-brain automations.
Support
Questions or a file it didn't parse right? Use the Messaging button on the Actor page — edge-case reports with a sample file are welcome (that's how the parser got this good).
This tool processes your own files. You are responsible for ensuring you have the right to process the content. No guarantee of fitness for any particular purpose is provided.
