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2018-02-19
20:00:21
59.805808
30.376141
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8
10
3
82.6
10.8
1
8,650,000
2018-02-27
12:04:54
55.683807
37.297405
81
3
5
24
2
69.1
12
1
4,000,000
2018-02-28
15:44:00
56.29525
44.061637
2,871
1
5
9
3
66
10
1
1,850,000
2018-03-01
11:24:52
44.996132
39.074783
2,843
4
12
16
2
38
5
11
5,450,000
2018-03-01
17:42:43
55.918767
37.984642
81
3
13
14
2
60
10
1
3,300,000
2018-03-02
21:18:42
55.908253
37.726448
81
1
4
5
1
32
6
1
4,704,280
2018-03-04
12:35:25
55.621097
37.431002
3
2
1
25
1
31.7
6
11
3,600,000
2018-03-04
20:52:38
59.875526
30.395457
2,661
1
2
5
1
31.1
6
1
3,390,000
2018-03-05
07:07:05
53.195031
50.106952
3,106
2
4
24
2
64
13
11
2,800,000
2018-03-06
09:57:10
55.736972
38.846457
81
1
9
10
2
55
8
1
6,909,880
2018-03-06
18:34:48
55.91395
37.707712
81
1
9
14
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8.8
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4,291,950
2018-03-06
18:37:27
55.91395
37.707712
81
1
10
14
1
40.3
11
11
6,675,840
2018-03-06
18:37:28
55.91395
37.707712
81
1
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3
73.2
12.4
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6,522,650
2018-03-06
18:37:35
55.91395
37.707712
81
1
5
14
3
68.3
12.1
11
6,522,650
2018-03-06
18:37:40
55.91395
37.707712
81
1
7
14
3
68.3
12.1
11
4,279,770
2018-03-06
18:40:08
55.781716
37.856656
81
2
7
15
1
36.3
16.6
11
4,550,000
2018-03-12
12:37:08
55.738846
49.225437
2,922
3
6
10
2
54.2
11.4
1
2,880,000
2018-03-15
14:38:45
55.734971
52.366385
2,922
1
8
10
2
51
8
1
1,450,000
2018-03-16
14:51:58
45.069785
41.935019
2,900
1
9
10
1
43
9
1
1,650,000
2018-03-16
16:21:54
44.994301
41.12281
2,843
3
5
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2
51
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1
8,000,000
2018-03-17
06:46:32
55.738876
37.82537
3
1
5
9
2
45
6
1
2,250,000
2018-03-17
09:05:06
54.815566
56.12556
2,722
1
2
5
2
46
6
1
3,843,000
2018-03-20
14:44:11
56.346027
43.871648
2,871
2
16
25
2
61
11
11
2,697,200
2018-03-20
14:44:11
56.346027
43.871648
2,871
2
6
25
1
44
20
11
4,214,700
2018-03-20
14:44:11
56.346027
43.871648
2,871
2
16
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2
67
20
11
3,773,700
2018-03-20
14:44:11
56.346027
43.871648
2,871
2
12
25
2
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12
11
950,000
2018-03-25
14:55:54
58.693048
59.485351
6,171
3
2
5
1
32
10
1
5,300,000
2018-03-30
12:08:09
54.88528
38.080196
81
3
2
5
3
75
9
1
4,600,000
2018-04-02
15:09:38
55.707834
37.959639
81
2
17
17
1
37
12.5
1
11,500,000
2018-04-03
17:40:53
55.798922
37.73809
3
1
14
16
3
64.9
8
1
3,500,000
2018-04-04
13:38:26
47.225085
39.623587
3,230
1
5
10
3
65
12
1
9,000,000
2018-04-04
15:45:29
56.311248
44.027117
2,871
3
6
10
4
112
11
1
2,500,000
2018-04-04
19:37:22
43.634694
39.727167
2,843
2
2
8
-1
25
5
1
2,800,000
2018-04-05
20:25:27
55.942876
37.976462
81
1
5
5
2
47
8
1
10,200,000
2018-04-07
15:23:20
55.655307
37.614605
3
2
7
14
2
52.8
10
1
2,370,000
2018-04-09
15:55:58
61.657787
50.831367
4,417
1
5
5
2
47
6
1
3,200,000
2018-04-10
16:10:12
59.827465
30.201827
2,661
1
7
9
1
31
7
1
3,160,000
2018-04-11
15:58:47
55.172116
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2,750,000
2018-04-14
15:29:34
54.893745
38.075084
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3,350,000
2018-04-14
15:29:34
54.882719
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1
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2,500,000
2018-04-14
15:29:34
54.886223
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3
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1
33
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1
2,200,000
2018-04-14
15:29:36
54.876962
38.155205
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1
5
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2
48
10
1
4,400,000
2018-04-14
15:29:37
54.886857
38.058376
81
3
11
14
2
54
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1
4,250,000
2018-04-18
21:46:21
55.577999
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81
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2
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1
11,500,000
2018-04-18
21:52:41
55.70133
37.507412
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1
14
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1
42
12
1
2,350,000
2018-04-20
08:36:31
52.550984
103.882608
5,368
4
1
2
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60
6.2
1
2,600,000
2018-04-23
09:53:29
45.003174
39.079931
2,843
4
3
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46
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1
6,500,000
2018-04-23
11:47:58
59.988334
29.786928
2,661
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3
3
3
89
10
1
3,750,000
2018-04-23
12:59:41
56.245607
43.823959
2,871
3
3
10
3
66
8.5
1
3,380,000
2018-04-25
00:02:27
59.90024
30.520711
3,446
3
18
25
1
35
11.5
1
2,220,000
2018-04-25
09:22:20
45.002575
39.083183
2,843
3
2
18
1
49.5
16.4
1
1,200,000
2018-04-25
17:01:13
55.432929
42.512729
2,871
3
5
5
2
40.7
5.5
11
3,250,000
2018-04-28
10:19:50
47.232236
39.72735
3,230
3
2
4
1
42
8
1
6,500,000
2018-04-28
12:55:44
55.876059
37.388217
81
1
16
22
3
81
14
11
6,300,000
2018-04-28
17:47:24
59.911622
30.284556
2,661
3
5
5
2
99.9
14.5
1
2,500,000
2018-04-30
19:14:08
57.9897
56.193996
5,520
3
3
5
3
59
6
1
20,900,000
2018-05-01
13:33:09
55.730785
37.631424
3
3
6
10
3
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8.2
1
1,450,000
2018-05-04
05:38:11
53.241909
83.704616
6,817
3
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2
44
6
1
3,650,000
2018-05-11
10:24:21
56.386103
61.926393
6,171
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1
12,000,000
2018-05-12
21:08:19
55.627136
37.591736
3
1
4
9
3
64.9
7
1
1,380,000
2018-05-14
13:08:20
56.77144
61.326537
6,171
3
2
3
3
67
9
1
1,650,000
2018-05-14
14:36:10
56.14432
44.194633
2,871
3
5
5
2
45.5
6
1
2,200,000
2018-05-16
11:09:14
54.893461
38.07894
81
3
4
5
1
31
6
1
4,550,000
2018-05-16
11:32:28
55.958999
38.035054
81
1
2
16
2
56.5
11
1
4,800,000
2018-05-16
15:24:56
51.806503
107.658754
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1,150,000
2018-05-19
14:40:22
57.64913
39.946823
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1
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1
7,100,000
2018-05-22
11:26:47
60.011172
30.243795
2,661
3
7
12
3
69
11
1
2,350,000
2018-05-24
13:53:59
47.228601
39.703883
3,230
3
9
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1
38
6
1
2,350,000
2018-05-26
20:15:51
60.061924
30.473142
3,446
2
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17
1
44
12
11
8,500,000
2018-05-26
21:20:25
59.849104
30.314112
2,661
3
14
14
2
60
11
1
1,050,000
2018-05-28
14:49:22
63.565957
53.661201
4,417
1
4
5
1
25
6
1
1,500,000
2018-05-29
20:34:52
54.524271
52.807177
2,922
1
2
5
2
44
6
1
3,468,912
2018-05-29
23:50:20
55.450883
37.54207
81
3
11
20
2
63.3
12.8
11
2,700,000
2018-05-30
19:27:04
45.082163
39.199663
2,843
1
3
5
3
59
6
1
2,400,000
2018-05-31
12:31:40
56.875757
53.291533
1,010
1
4
5
4
58
5.6
1
2,450,000
2018-06-02
13:02:33
56.49643
60.237351
6,171
3
4
5
3
67
7.6
1
3,830,000
2018-06-02
13:27:09
59.981491
30.37173
2,661
2
2
17
1
44.9
16.5
11
3,590,000
2018-06-04
12:36:14
55.949321
37.180294
81
2
3
15
1
36
11.3
1
2,980,000
2018-06-04
21:48:53
65.989041
57.540651
4,417
1
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9
2
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12
1
2,750,000
2018-06-05
13:41:12
55.740321
38.022801
81
3
5
5
1
32
6
1
6,800,000
2018-06-07
02:15:15
43.484765
43.594212
9,648
4
4
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3
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1
13,825,000
2018-06-07
08:59:31
55.888657
37.43037
81
3
7
7
2
197.5
14.8
11
4,000,000
2018-06-07
14:11:48
55.777062
49.216766
2,922
2
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2
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3,800,000
2018-06-08
14:49:04
45.067703
38.954166
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2
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12
1
4,630,000
2018-06-09
11:01:44
56.865892
53.235296
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20
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4,300,000
2018-06-09
11:09:19
56.865892
53.235296
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28.7
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3,500,000
2018-06-12
12:09:54
55.651105
51.799888
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1,150,000
2018-06-12
14:22:07
61.67264
50.781736
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8.5
1
2,180,000
2018-06-12
23:42:28
46.049551
38.166542
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9
1
5,300,000
2018-06-13
10:40:59
55.579979
38.248528
81
3
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2
60
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1
4,200,000
2018-06-13
11:05:52
55.575248
38.253133
81
3
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17
1
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13.6
1
1,500,000
2018-06-18
13:01:53
54.888697
38.605205
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3
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2
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1
5,750,000
2018-06-20
15:52:13
55.704428
37.766989
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1,350,000
2018-06-22
14:26:40
56.349198
30.532978
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1
1,650,000
2018-06-25
08:22:14
56.389195
61.961423
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2018-06-25
12:11:49
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2018-06-27
15:09:04
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2018-06-28
17:08:39
55.724407
37.740938
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1
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3
80.9
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1
3,900,000
2018-06-29
22:52:08
59.999272
29.770225
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3
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8.8
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2018-06-30
23:16:17
56.094448
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7
1

Real estate ads in Russia are published on the websites avito.ru, realty.yandex.ru, cian.ru, sob.ru, youla.ru, n1.ru, moyareklama.ru. The ads-api.ru service allows you to upload real estate ads for a fee. The parser of the service works strangely and duplicates real estate ads in the database if the authors extended them after some time. Also in the Russian market there are a lot of outbids (bad realtors) who steal ads and publish them on their own behalf. Before publishing this dataset, my task was to select the original ad from a bunch of ads. Russian real estate services allow ad authors to manually write data about an apartment or house. Therefore, it often happens that a user can publish an ad with errors or typos. Also, the user may not know, for example, the type of walls near his house. The user also specifies the address of the object being sold. He may make a mistake and simply indicate the address, for example, "Moscow". Which street? Which house? We will never know.

Dataset

The real estate market in Russia is of two types, in the dataset it is used as object type 0 - Secondary real estate market; 2 - New building. I found it necessary to determine the geolocation for each ad address and add the coordinates to this dataset. Also there is a number of the region of Russia. For example, the number of the Chuvash region is 21. Additionally, there is a house number that is synchronized through the federal public database of the Federal Tax Service "FIAS". Since the data is obtained through a paid third party service, I cannot publish the results, however, I can anonymize them and publish parameters such as Street ID and House ID. Basically, all houses are built from blocks such as brick, wood, panel and others. I marked them with numbers: building type - 0 - Don't know. 1 - Other. 2 - panel. 3 - Monolithic. 4 - Brick. 5 - blocky. 6- Wooden

The number of rooms can also be as 1, 2 or more. However, there is a type of apartment that is called a studio apartment. I've labeled them "-1".

Ideas

I hope that the publication of this dataset will improve developments in the field of global real estate. You can create apartment price forecasts. You can analyze real estate markets. You can understand that there is a need to publish free real estate datasets. And much more

Others

The license for this dataset is public, you can use it in your scientific research, design work and other works. The only condition is the publication of a link to this dataset. You can send suggestions (or complaints) on the dataset by mail [email protected]

You can find more information about the data on the website https://dom.realtycloud.ru/

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