Does someone have a current list of all addresses with a Balance (over x) ?
Thanks
Topic: Get list of all addresses with a balance over x? - page 16. (Read 43401 times)
Hello , For me I'm a programmer and I can create functions in Php that check address balance
but if you are checking a hazard address that you generate from Python scripts ...
I will say please don't waste your time (Already tested and hated my self after it
) .
Bitcoin Boy.
but if you are checking a hazard address that you generate from Python scripts ...
I will say please don't waste your time (Already tested and hated my self after it
) . Bitcoin Boy.
I use znort987/blockparser in ubtunu/debian
This does get ALL balances. Anyone know how to tweak this?
Code:
sudo apt-get install libssl-dev build-essential g++-4.4 libboost-all-dev libsparsehash-dev git-core perl
git clone https://github.com/znort987/blockparser
cd blockparser
make
./parser allBalances >manygigs.txt
This does get ALL balances. Anyone know how to tweak this?
I think you can combine it with grep, this might do:
Code:
grep '50.00000000' manygigs.txt > result.txt
If it does not work, the only method is to modify the code of the blockchain parser which should not be hard to do. Simply iterate all transactions in the blockchain and save those that meet the required conditions.
Sologap's list is great, very interesting information, but already outdated
Does someone have a current list?
Thanks!
Does someone have a current list?
Thanks!
Are you sure that list is not somehow corrupted? For me it stops at line 503 and after that it's only endless lines of 'X's
Does somebody have an intact recent list off all addresses that they could share?
Thanks!
Does somebody have an intact recent list off all addresses that they could share?
Thanks!
oh, i actually couldn't check it because of the size
, i might forgot something. ill look into it and upload again. sorry about thatEdit: here is the full list with no problems https://mega.co.nz/#!0UpWCTxb!oIMkD8t4PK4iATuuj2TmMNhT4TXJn-pDcED1iyXBvAM
at line 3000004 it's only endless lines of 'X's
sotruxoid, look at my offer in the post #32: https://bitcointalksearch.org/topic/m.10936300
There is no problem to make a snapshot for the specific day.
For example, as for January 13, 2009 0:00 UTC, the list of addresses with the according balances would be the following:
For example take a look at https://blockchain.info/address/1ByLSV2gLRcuqUmfdYcpPQH8Npm8cccsFg
It is in the list with the balance of 10 BTC, however its current balance is zero, because the money were spent at January, 14.
If you want to develop your own solution, the only way to do it is to parse all the blocks which were mined before the specified day.
There is no problem to make a snapshot for the specific day.
For example, as for January 13, 2009 0:00 UTC, the list of addresses with the according balances would be the following:
Code:
1CYG7y3fukVLdobqgUtbknwWKUZ5p1HVmV;50.00000000
1Kj7zDjmTcjadztrU1LWT1erGuyToScwex;50.00000000
12bAezJkUhUxUDVZUypN9HP7obfWm58hSw;50.00000000
197x9cjGHGq9ah4AAwduRbu48J9PLiwcFD;50.00000000
1J9Wdx5F57jgNYSw7vaP3oCMWHnjaD3MEq;50.00000000
16bo8EmUnLJAmtDNavgcs1BQ5rU4YcR9UC;50.00000000
1D2zWLwXkdgFw5VtcYVtBhZuq5j4qwiRQP;50.00000000
1NZA1LZDbyeE9qdHWeJnN5DN7ZDJShsssU;50.00000000
19d4S14KCEDXi1Xyt9x98feD9SxWPXYYNm;50.00000000
1CbGkbGuvdoZGnywSfq6iV5MBQuaFQZfKb;50.00000000
1Bw7RG9a19SjCNszmXQZhBwe1gEj4Vb2JZ;50.00000000
16kktFTqsruEfPPphW4YgjktRF28iT8Dby;50.00000000
16cAVR3SQbNzu8KZtGdo8cG1iueWpcngxz;50.00000000
1HRGtCwm8vxA3GUobDLDGo7Wya6FXhwuDe;50.00000000
1LNKBdzwXmisa67qtYCofsZWwgZW2wewmn;50.00000000
1JNWvsrDf8mdH82Y7xp8yACDfm6TpVwZeM;50.00000000
1DcgZPFErBcASaPqsqyB42dUFjCJEro4A2;50.00000000
1NHHWnZKTetjZZfAbVjTS9EHQafdH6xn8a;50.00000000
1Fr947YZyEWZd2JPcvDJbsYN6Po5gXRyau;50.00000000
1FDMwEo8qNa9icVcooBUoGvA6NriePtJJ3;50.00000000
1K2UaAY9jfz7wUxadbD3ivBLGqrcF4ai8M;50.00000000
1Pqrx3NMF9VmMW6ikLZST3veBkUmY6be15;50.00000000
12c6DSiU4Rq3P4ZxziKxzrL5LmMBrzjrJX;50.00000000
1FvzCLoTPGANNjWoUo6jUGuAG3wg1w4YjR;50.00000000
1G5Gp7b1u5cTN5xjypETNpmCTpbDdoXJMA;50.00000000
13zrE76hjXh1wwtUFE6WsCbrG7NPWgRBVW;50.00000000
1Fdby4yp1iUnf8biiVAE14X4XKV6ZKzReR;50.00000000
1BW3idasrBsovBWDzauf1yTh6QWK9UUEj5;50.00000000
1SLkiCeQwBe56cvKMXmo8dYAe8SmjfrwX;50.00000000
1CRtj3XYXjtmHNw44QLZ63AGEM6SFa6wob;50.00000000
1Bhq4Uz1Cg8vZLWy5uT3X3Ea3XDSNvkvCM;50.00000000
18K6LJ9wFKSkYDA3dspswRPWiPgNZKvN7d;50.00000000
1HFtrEq1YGKxFKdq5nKyd7xm6NrAKcT7zf;50.00000000
184wTUutRt5geVhpCzhnp8vmKJWjUQGeah;50.00000000
1NEAg9cRUBUmTV8FG5ed33nPiXwEKaCxra;50.00000000
17uiEVD2d9U33YzfYJ2vZ9BrUhmMYVnK8M;50.00000000
18xzfpkj8cNz8NdmU7eumVjpeDfQSJ1CHR;50.00000000
192kkZSRQHrS4dnBoPGgoYB6WeC1HXyYZe;50.00000000
1AiE8NiskCXRovzHdVzAjydQ9V8Dv7Hiy8;50.00000000
1JhxuRHf7FiJYb8Ymc9czohwm9cJn2WaQW;50.00000000
1CQrDCsUkuvB5SUa9G2eAc8xqYZeK68x7j;50.00000000
1JfbZRwdDHKZmuiZgYArJZhcuuzuw2HuMu;50.00000000
1ArDoL42A6ZZdudpogut2NUGcwxhRj42S8;50.00000000
1281ZBYNe7qJGMsGgHL2YgUEEFwCdXQwBq;50.00000000
1Ky8dP7oR1cBeg1MzkrgHAeHAHyn92DCar;50.00000000
1FnbdYntfohuZ1EhZ7f9oiT2R5sDsZBohL;50.00000000
1ELLM7xHcUC1Z2BnDpGQ2Eg2ZXZeGSDkbU;50.00000000
1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa;50.00000000
19B32mm7b5x6HiBCRVpgQZUswbQ29b9YTo;50.00000000
1FERXfs9RYGhhLe2yBsSqYfSqtmUEBUSTc;50.00000000
1642o19pahkkdwHuPSx6uxk9HMmC243Bu7;50.00000000
1GkQmKAmHtNfnD3LHhTkewJxKHVSta4m2a;50.00000000
1dyoBoF5vDmPCxwSsUZbbYhA5qjAfBTx9;50.00000000
1MBvf6WPKwekXLRxsjjudqUXWJDYUy4qzB;50.00000000
135uQWV3vn5JNgQrWcLd6gWr9S2ybj2BB7;50.00000000
1PwcmHdjVFfQgXpd6V4BGzRY7yLBvGb4eK;50.00000000
1DQCdPGY1MUFwPdJ2bNziT4RfDFusBddyS;50.00000000
1PNF7mJ2VrgZCMSfUjiWxDteNBHEm15kMg;50.00000000
1G43MvhzCqRz1ctsQUmgU4LgLuSVdfU557;50.00000000
1JXLFv719ec3bzTXaSq7vqRFS634LErtJu;50.00000000
1DRzyGtGkXYnFz9n9qxnTFbGpYBv4FNmYM;50.00000000
1PSSGeFHDnKNxiEyFrD1wcEaHr9hrQDDWc;50.00000000
1ExG3uFvQJ12uXotnp78enyMZbfEizWzRn;50.00000000
1JKb22MuD4BhZMru2jpdpy8iRATyEDpy33;50.00000000
14pBXdFvEaPy6t4gbnrrQWu86ZYPTivEx3;50.00000000
16NEqTQenDpSAn18utw6sYD631Cq9znZf7;50.00000000
1GB9LgiyE6Upg2qbVGy2phKfgVZB681WhC;50.00000000
1G6RMmurphMJg6wyobQSzC2az9zZ3VipXE;50.00000000
14fKXAX9CFFGVE2txHtTbLX5owb6x9dYh3;50.00000000
1AiBYt8XbsdyPAELFpcSwRpu45eb2bArMf;50.00000000
1FeGetWU2tR2QSrxnpRwHGXGcxzhN6zQza;50.00000000
1KmbQCNdfCDkEB6yWw5iLjBTGJ5MYptqAL;50.00000000
1N8SwzBqNQccJQBMsVe5ukvSVhf6vxHVSm;50.00000000
16DvfwUBRqaZGaMWnzSnX8TPUantMKXhjV;50.00000000
1UZhhzWo85osGzNrs1BVjoE3FP8ea2umX;50.00000000
13A1W4jLPP75pzvn2qJ5KyyqG3qPSpb9jM;50.00000000
19knNYsDH25AsBGhhoaxnmUKrn9WkVMSUi;50.00000000
1HPgEWbEzFC6FWbcEJtasvZBaW5YTdmfMC;50.00000000
13aK6boaLbWkyLsDBmNZnUGhzh4iL2vQky;50.00000000
1Hr9AYxjsDUTuq8d1c6tCbVpYWBCvHUupm;50.00000000
1B1urSvRRSFjupa5THHsF8FNxTarDVexYg;50.00000000
1CT9huFgxMFveRvzZ7zPPJNoaMm2Fo64VH;50.00000000
1Kc4RPywLu8bK7JvTQJY1MWHo1S4jqQfzM;50.00000000
1AUyVCU1zU8YcfH8FHeJHREzSsE7ZHqgVN;50.00000000
1JRiK5gbEjTEAdFU2kYoQJRCMZgVCQgbpQ;50.00000000
13F1h7nLa4bgwgvjnRnBYh5cn1kpT4Mo2p;50.00000000
1Cef65T8Cqi47KJvc4vYkxuZ9ymBxQfhQf;50.00000000
1GnYgH4V4kHdYEdHwAczRHXwqxdY7xars1;50.00000000
1Pudc88gyFynBVZccRJeYyEV7ZnjfXnfKn;50.00000000
17abzUBJr7cnqfnxnmznn8W38s9f9EoXiq;50.00000000
15ubicBBWFnvoZLT7GiU2qxjRaKJPdkDMG;50.00000000
1DMGtVnRrgZaji7C9noZS3a1QtoaAN2uRG;50.00000000
15kHBARv1ZaCrmyExVUn6Uh7wnJVXveF8A;50.00000000
1HL3xqCGJwCcME5wgjz1NJLj5o79zp3W7y;50.00000000
1PmhUgoVLtTgdcvfi1cwwSTvPvFC67bCQs;50.00000000
1yNErqkG6GFaQTkRjrp38nqpVFn7QJnhV;50.00000000
1Bjrramo5EisLKeUXjw9GcUcfXcVnpi6vK;50.00000000
1GpHVwFv8Qnxov68HxZwdfvMDtEaYucGcR;50.00000000
1ax2fn3tdpH1R3A2yNFtp8Fn7Z7rt9DnY;50.00000000
1GPhCZpM72YrpkZVqQECpT6eKprKFEwkSH;50.00000000
1T2TbagADcZFN433zk1HjYuTiXTPs62Yd;50.00000000
1FdgjwkXbQc1gpHjpHyZNY85vdyQyFfBbg;50.00000000
1QEDtTS36hrcJuv6SvhqoUvVrfMLdkaN7C;50.00000000
1MTKWKTfG1Gxc1sH955eob7kp5cQ3CcexB;50.00000000
1AQ2m6GH78oLgZYCdueUb4Zjxg1L6BkHZM;50.00000000
17xQEk6df1Zyzvzs3oLPU9k5BZ85uGxC19;50.00000000
1H2nuVj2EnEVoYSw3opGjVxJdDqnehiYWN;50.00000000
1HLoD9E4SDFFPDiYfNYnkBLQ85Y51J3Zb1;50.00000000
15yN7NPEpu82sHhB6TzCW5z5aXoamiKeGy;50.00000000
1DnzNm7QC479kSydvzmgb16X2c5GwRVzs1;50.00000000
13QWmek3hEUhhcXL6PkyaQvW8cYuZwGFpM;50.00000000
1Bq1TLyuvZLvu73eueduUMhBL2QfYDeoNt;50.00000000
1BF5nbuKF3UTYCQTpxuH62UA8WJWAqQKo5;50.00000000
1BTsxjF9rXtFvUZ2UFditbeUpohGgKCxUt;50.00000000
14U5EYTN54agAngQu92D9gESvHYfKw8EqA;50.00000000
18xph1cecYkJwD81bHSKZ3SrUsPqinU2bA;50.00000000
1GPrHBrbFjzGVTwA4P4y5QnaDhd3GCYU5x;50.00000000
1KzvBTUbdwNBXiTkzr1msFUtPf7Vu2zLiu;50.00000000
1DmJE9Z1Teye3JmxhoDUcmnMmubCg8dNtF;50.00000000
1H4Urq49poTRfszssMDT12dMnoDxSBEs7e;50.00000000
1P8BjGr7JG8zfDTZBE4Kat2KthsDJ9xg5e;50.00000000
1P9VmZogiic8d5ZUVZofrdtzXgtpbG9fop;50.00000000
1DEwdHYmo8q6AhSHG7UgxEjttNMFdw9e7u;50.00000000
1J6PYEzr4CUoGbnXrELyHszoTSz3wCsCaj;50.00000000
1PN2MiaGhnR65x41pbUWbsfCB62hqG8KSG;50.00000000
14w8FgPQhPRuP4wnVpER9p9Cb7kYQWkzwY;50.00000000
1Dk9PekCU6BkLy5pRHfWvSw791BiVdKBXj;50.00000000
1KyUEsMMKw6MNW8RZKehJpyKNyS8ZmXerX;50.00000000
18GyZ216oMhpCbZ7JkKZyT8x68v2a8HuNA;50.00000000
1AqC4PhwYf7QAyGBhThcyQCKHJyyyLyAwc;50.00000000
1PZnnfPq3EpcGZZyiX8WCbEhm9amzpjTYr;50.00000000
1DJkjSqW9cX9XWdU71WX3Aw6s6Mk4C3TtN;50.00000000
1Fi7o3BKMcT82NVtnMRNqsj8aE5CWbAo4z;50.00000000
12jiJuWynwFcqbNyoay5Sy9pmJn9dsFRgh;50.00000000
1CbjjM7LDBvmtdvyyZbbb8hp3B8gwUEaio;50.00000000
1PQhPpysTvkYRpjpHL48KuQTRW7yS2k9Hx;50.00000000
1HwmP33SaknLYShXfjVU8KmVThU3JiuVgH;50.00000000
12wm668ySFxjAPGnZHPBR4uWqUmNdXg2kP;50.00000000
1EPeRrfFgn8Dm7mbfaFHUNUpD5UnKkeSNQ;50.00000000
1Mdioqy6kR75YvHhf7eqhTsRxoYfQfhbgn;50.00000000
16jZuw5nwn3ZgzWYrRvhi8NZW2b1NRk6S7;50.00000000
1Lh4fvU1NAEdZTuTqoe4c3cPMv3sgkFWbM;50.00000000
1NZz1UN616LfyX87zGRnVifiWRSN5xm9ht;50.00000000
15HWA4SmQ9zm9iYGyxPK7r1oDugPXeWwDk;50.00000000
12RyzPinkywNAN1L78tpBS14QTFQCBhuLE;50.00000000
1LKriCmDaBz4SfCoDjcjR1b9CmQTHibCcr;50.00000000
1nQ5KafzA4DWGa327n8JnZ29q4PKg5Y7m;50.00000000
17iyRRXBHJKbv5DKPPkttWewm3CHdNPGQd;50.00000000
16hWr6twFK4Rt5tAJmoqDeSVQsxZ1tFuJa;50.00000000
17KG5gGwKu1DNNaMdrngw3UdZUh4ZhacNT;50.00000000
1HWP2q1RjpRbjm2K5ZPFnnfbnpNjN7XJWj;50.00000000
1EDV8iD4cDZbKxZu6UGAPW5i2ytQmR5xoQ;50.00000000
1PHB5i7JMEZCKvcjYSQXPbi5oSK8DoJucS;50.00000000
1PeWcJrkpHMnUs3t5GvuwcHh1oBHYNoDwG;50.00000000
15ubjFzmWVvj3TqcpJ1bSsb8joJ6gF6dZa;50.00000000
1JSW4QekxPokWWU4hcRwrheZbZKSkFz9oc;50.00000000
1Jd2omwPAZq3egSS8HsxFMxhWmKdonG9Lz;50.00000000
1MVXEbi7xErjRaszVDwycUbeR8dYBVNKnE;50.00000000
1ALp4qPqGju9gmupfdRwAEyREN38Uqipyv;50.00000000
12vhcB2bfspTua6XLpLcZPP4zpkudmw2re;50.00000000
1DpSDwF12wX5ogkS2HXabT7iWtCkAqJD9k;50.00000000
1KMYVBvfMAUZH4gpRknxvKxbqATMAfuu4x;50.00000000
12XPHPCGYz1WgRhquiAfVeAyjZ7Gbdpih3;50.00000000
1HRRURSfxj8NntfzcPT4ajz7uBefLuwLmB;50.00000000
1PA4XBfKLjACMQUUupBEDzwhSsLRKriAkr;50.00000000
1PWPk2buWhozxYUE3vnb7MnobjCMkEmagU;50.00000000
14kbZs9yn2k5r6R5Tkf6gDKp3b3MDu1eGk;50.00000000
1QHTV856dWWwzSQN738tvEneYgsagQdYpM;50.00000000
12zBX15JrZjgxLkvr3rVUcVcD6323rZ3bY;50.00000000
1KuX1qeF7qimFiurBDxQUktAgNE3qNA8zx;50.00000000
15z1nJqsrAUchqwQ4hsWnyPru2nUjuuDhR;50.00000000
12dRaqF6c7n8rvbhCWsQysKmNKPgDJfepK;50.00000000
1FWcb8Ddw3BXearNaWugikvEfK7gViRde7;50.00000000
1Dw5XyQk2pFDNLQUsc2Eknq5ikQAwfRqsR;50.00000000
1AL11Yfw2ZP9C4wGiWf99jwZyTjWWY4JVn;50.00000000
13t2rxB1FiZ8rSR3jVVNAmJN7hxFCq6pjp;50.00000000
1FUgiNk7jjSeNaA3KCoYmdXdhcd7CWrjGh;50.00000000
1BEKzoSq5kTRNhL9ezh8KJ5vt2NzigQV2K;50.00000000
136g5f3pBidF6q8udL5GGb66CzG7AzBNwv;50.00000000
13iDhZNq6ejzR4GcRZo8F9A9oYR4GgXV3q;50.00000000
1MF2sw6Zan5p4ViuGdxRoNr48M5rFvHkqn;50.00000000
1LNV5xnjneJwXc6jN8X2co586gjiSz6asS;50.00000000
16LoW7y83wtawMg5XmT4M3Q7EdjjUmenjM;50.00000000
18p2otBZ33Ytgk3afUrHsmiPrFLNPiM4G5;50.00000000
1917k1LUodPbbjJenczkVaGyJpSj8CqYTC;50.00000000
1AxA6X2FSY5NSZzWS25RXA7j6uhTGEZ9eD;50.00000000
1F22VKzwQWf2LoSziz78Zc5e7owfrHDRCy;50.00000000
14UyXKWBcVHYcqSpxYcmR9JLZu6pArwDrd;50.00000000
1HCeeU957J4NTXDer2fGvDsb7mVjU9TtLb;50.00000000
1NG4uecvtRyRx9eWxUaw6PVLPKMfDE7nz4;50.00000000
1BwV17G9AyRuPocPeonRTx7VdCAXga43rn;50.00000000
13kjsBfe8D7bwmT938DxCLHzjvae6uvHPg;50.00000000
1HjE5zRg4eYm7jCHB9oSH5WbyZdH1GE2Ns;50.00000000
1BQRxmgPsyWWv6GD64kUDxtNq3K2RGc9KL;50.00000000
1KSHc1tmsUhS9f1TD6RHR8Kmwg9Zv8WhCt;50.00000000
1BnhHuk62o9tPuG5JerexTX3MhnR8sobLm;50.00000000
12ti6ZDtjJTFnfSXJD1yZeojFdc1u4nJcS;50.00000000
1N24Lobvo9BN4iGrm4SRhCUwpwd273dSfq;50.00000000
1DecGxfc8DuoLjV75WdNE7BfjVRGE5ACqi;50.00000000
15eCuQ4Kd25VDhtv9Pko6DL3tt1ACa3tR8;50.00000000
16RGBFEHfNqjzN6UQ95imqtM91PBcQUMCF;50.00000000
1NnYa2jL24hLgXBbk3TAXHANUQEzXNnSHg;50.00000000
1h2Znru8Y624tuVnu1UgUujNACTzaFABz;50.00000000
1MBTMZxy2g1shi2Sx37AwGpo6o5if7iq5F;50.00000000
1PHG1AoZJ5yyg6MV2fkqYCuDDik2NTfzfm;50.00000000
19K4cNVYVyNiwZ5xkzjW9ZtMb8XvBS2LkT;50.00000000
19PVrVqTjMaAUXxNZKytffiebVM9U1S9Dy;50.00000000
1AUR9CVmm5wH8xc2EufyDpuA8HEZcSamhY;50.00000000
135S6YvALYCydS6R82hWi967f3xUnWVQ3S;50.00000000
1PpU2yx6CSruakyYjckH8eUJWAH1XUQ7ZM;50.00000000
1H5canZg3AwU44Fe65HG2siti9mFJnkc8;50.00000000
13ph5zPCBLeZcPph9FBZKeeyDjvU2tvcMY;50.00000000
176n9Cx6LKri6YUxFNBr7aUzb2TbLzJbsM;50.00000000
1FyiELmwtmD2mrN6hRzw6P76zLg3WJoCwB;50.00000000
1DLfzP5v2KegZK88rsNj8z1YKSb4VzBfsu;50.00000000
13pS5WuihmpE7WMQAZkFdvfvVo1NDp7R7V;50.00000000
1J9HkGKPDd7ek9DA1V4NDEma1F1h7vHi8u;50.00000000
17x23dNjXJLzGMev6R63uyRhMWP1VHawKc;50.00000000
1DmKBaveG8iQA7nTGpRQ1bf8cJ7zqSMCjJ;50.00000000
16kf2cAY8V7iZjX21Pm8znMJxqa2TYcqQ5;50.00000000
1MNHWu6JeCrtFyjEPcR6bJSrfQ3kJ3Hyin;50.00000000
1LPBetDzQ3cYwqQepg4teFwR7FnR1TkMCM;50.00000000
1FaUNstQc4FUena9XodmbfHgoMD9yKpT4d;50.00000000
17B3kpD6d9SSaoKATBgGqDn25dFnSvjcVE;50.00000000
128KyT3PMB3WLcZVu48asfaTwtb6tZE2dm;50.00000000
17uWtnxcJdpH7pEXXmr1SLrohVxe18B3fD;50.00000000
1KDnp5D9sEUNGFY2z4JiKhwfbm7zqYp4Bz;50.00000000
1H5BMx61bxfseTU9jUPZgit5B9D3AVviX5;50.00000000
1MMFzwh3r5fxNwpTZvm6iZReX7RUwZxnaY;50.00000000
1PAL9ZNuwAcufS8xSnGMCpQqECFF9g9QN1;50.00000000
1PYELM7jXHy5HhatbXGXfRpGrgMMxmpobu;50.00000000
18a3JX7ZZvu5CdaqY33RxzXB3ytEjspsGq;50.00000000
1B7CyZF8e6TYzhNBSHy8yYuTRJNpMtNChg;50.00000000
1JgpRwCt8rm29g3y4FkVKWWck8qEeKgfZv;50.00000000
1CwoMxSXitseAKdNgfaHtzaUB7mUhcrmMp;50.00000000
1F7RYd4KM2AesmFx83JYgLKibYrfxcWYaV;50.00000000
133xmQyVGHnyQwr2pYNiHUMeDUS3mYVsB7;50.00000000
1AQgsAVd49Tk9kxgsdDRFMwLjyD997p6dJ;50.00000000
1N8Q8bSJPLkoZUkdREsQA1dGsHTPrQ9X3j;50.00000000
1MUuVeuS6DDS5QKR2BNZ9fipXCEsFujaMH;50.00000000
1CtABfwubzxuoHacNEZ6FJCBumtTbz71AA;50.00000000
1Fr33GRhy7zN8eXkWDf31icUBRUmoicnJz;50.00000000
1PLgv319qXvnmiCAL3pH1dydVQSwrr2F5W;50.00000000
1MKRkcXG7cUb83EGNjK5TSHcKgVjVMTou5;50.00000000
1Po1b27dVXkmyQdKXk5AvHUzdgEk5MvMvC;50.00000000
1FhKNo8JmNrPKnqJv5rTFMrw98H7soXTXu;50.00000000
19CAnt15TpQrJ9gjmdZZsLcwRj8E1mkqPP;50.00000000
19X7soRFwUCRX8aUc3NrRZddHgpLmFmpzc;50.00000000
1EvRbs7Fc6R6V8LsnoD3Ntng9vWfmreeRT;50.00000000
1B4HeenWZfzcyHSpHeZGQZtSVUi18wmd2B;50.00000000
1M7U7kbW9CY7znW6sSRzycgPCxr5LkJy2r;50.00000000
1Eof6XM7AKnBdpTt3c92sVb1LaLqH3cnqC;50.00000000
15VF3MsCzjHmFQ3wK3SMrTEBTmFY8zhJnU;50.00000000
1DpJP16GXSht3hJ5DZDumKcwAFqQQVkffN;50.00000000
1BwWdLV5wbnZvSYfNA8zaEMqEDDjvA99wX;50.00000000
18NmcVxBKf5tZXuV5KijPTgbdguGohnBCV;50.00000000
15WV17J7pbDKdZ6eeGBg5yZ9jb26TaW8GB;50.00000000
12GBk2eiu3AEVvNYTwWYnUz49ecRjJ1CR6;50.00000000
1HgeuTkMfQ3xh6hPo9ZZKvHom8AAXdfA4X;50.00000000
1NHVxANujgiDvPxNLQ1cc5B8AEisnx2Yz6;50.00000000
15EMUiFD7XoHpzCA4sErNmqCT4krsQzgKx;50.00000000
13CiNuEMKASJBvGdupqaoRs2MqDNhAqmce;50.00000000
12cbQLTFMXRnSzktFkuoG3eHoMeFtpTu3S;18.00000000
1DUDsfc23Dv9sPMEk5RsrtfzCw5ofi5sVW;10.00000000
1ByLSV2gLRcuqUmfdYcpPQH8Npm8cccsFg;10.00000000 <-- NB
1Q2TWHE3GMdB6BZKafqwxXtWAWgFt5Jvm3;10.00000000
15NUwyBYrZcnUgTagsm1A7M2yL2GntpuaZ;1.00000000
1BDvQZjaAJH4ecZ8aL3fYgTi7rnn3o2thE;1.00000000
For example take a look at https://blockchain.info/address/1ByLSV2gLRcuqUmfdYcpPQH8Npm8cccsFg
It is in the list with the balance of 10 BTC, however its current balance is zero, because the money were spent at January, 14.
If you want to develop your own solution, the only way to do it is to parse all the blocks which were mined before the specified day.
I want to create a database with all the non-empty addresses, but for one particular day only. Any ideas?
The new one works, thanks a bunch!
Are you sure that list is not somehow corrupted? For me it stops at line 503 and after that it's only endless lines of 'X's
Does somebody have an intact recent list off all addresses that they could share?
Thanks!
Does somebody have an intact recent list off all addresses that they could share?
Thanks!
oh, i actually couldn't check it because of the size
, i might forgot something. ill look into it and upload again. sorry about thatEdit: here is the full list with no problems https://mega.co.nz/#!0UpWCTxb!oIMkD8t4PK4iATuuj2TmMNhT4TXJn-pDcED1iyXBvAM
Are you sure that list is not somehow corrupted? For me it stops at line 503 and after that it's only endless lines of 'X's
Does somebody have an intact recent list off all addresses that they could share?
Thanks!
Does somebody have an intact recent list off all addresses that they could share?
Thanks!
Finally i got blockparser to work, anyone have this problem "Segmentation Fault" follow this to make a swap file: http://askubuntu.com/questions/178712/how-to-increase-swap-space
my box is 250 ssd, 16gb ram, 9GB Swap
Also here is all addresses list without balance as of block # 350544 (the size is7mb 82mb compressed and 2GB+ extracted)
https://mega.co.nz/#!VNQmiSZL!Yfxt1Ga0t5SlCOoHtl6RVjne5i1ssiOvNXTlid9KAHo
https://mega.co.nz/#!0UpWCTxb!oIMkD8t4PK4iATuuj2TmMNhT4TXJn-pDcED1iyXBvAM
Tips: 1JJAN1ueth6r7UNai37jK5UR6esCL2SUxh
my box is 250 ssd, 16gb ram, 9GB Swap
Also here is all addresses list without balance as of block # 350544 (the size is
https://mega.co.nz/#!0UpWCTxb!oIMkD8t4PK4iATuuj2TmMNhT4TXJn-pDcED1iyXBvAM
Tips: 1JJAN1ueth6r7UNai37jK5UR6esCL2SUxh
×
any one got updated list ? im trying to run https://github.com/znort987/blockparser but im getting : Segmentation Fault
anybody here with knowledge of C++
please recompile:
https://code.google.com/p/blockchain/source/checkout
Thank you!
please recompile:
https://code.google.com/p/blockchain/source/checkout
Thank you!
anybody has updated list?
Just sent a PM to W00dy to see if we can get an updated address/btc list. I'd like to see how my own collection compares with the rest of the bitcoin users 
I'm curious as to what % of possible addresses have been used?
I know this is an old question but I was bored.
As of block 326 219 (2014-10-20 23:15:09) I see 50 627 736 distinct addresses in the blockchain (including those with a balance of zero). There are 2160 = 1 461 501 637 330 902 918 203 684 832 716 283 019 655 932 542 976 different possible addresses (minor assumption about RIPEMD-160 here). Thus, we've used 3.464*10-39% of all possible addresses (4.s.f). That's 0.000 000 000 000 000 000 000 000 000 000 000 000 003 464% (4.s.f).
I'm willing to bet I've made an error or two here.
Why not, I've got 16 GB RAM
Jump to: