Apify Tender Attachment Parser
Parse SAM.gov and TED tender attachments (PDF, DOCX, XLSX, ZIP) into structured JSON with page-level citations and OCR for scanned files.
25%
users
Apify builder
Leon Yu Leaderboard position
out of 10,354
New actors
#1,443
Total actors
#3,292
↑ +401
Monthly users
#3,696
↑ +406
Total users
#5,238
↑ +429
Monthly runs
#7,942
↑ +272
Total runs
#7,793
↑ +337
Portfolio stats
New actors
4
Total actors
4
↑ +1
Monthly users
4
↑ +1
Total users
8
↑ +2
Monthly runs
25
↑ +11
Total runs
67
↑ +19
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
4 of 4 actors cover 80%+ of monthly users.
Parse SAM.gov and TED tender attachments (PDF, DOCX, XLSX, ZIP) into structured JSON with page-level citations and OCR for scanned files.
25%
users
Normalize KiCad, Altium, EAGLE, JLCPCB and IPC-2581 BOMs plus supplier quotes (CSV, XLSX, PDF) into one clean schema: expanded designators, DNP, normalized values, price breaks and lead times, with source provenance.
25%
users
Parse component datasheet PDFs (your uploads or manufacturer links) into normalized spec JSON — max ratings, electrical characteristics, pinout, ordering codes — with page-level citations and OCR.
25%
users
Convert user-supplied EN 10204 3.1 mill test certificate PDFs into VDA 231-301 JSON. No website crawling.
25%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.