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Telegram profile photo for Максим Левченко

Channel

Максим Левченко

@levchenko_realty

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

25,100subscribers

-122 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001460903580
TypeChannel
Username@levchenko_realty
DescriptionКанал для риэлторов, которые хотят зарабатывать больше. Начните отсюда: t.me/levchenko_realty/836 Если вам пишет аккаунт с моим именем и предлагает инвестиции или крипту - это мошенники. Рекламу не размещаю. По всем вопросам: @levchenko_maxim
Created15 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live21 October 2026
Measurements held45
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.me/levchenko_realty

Topic

Real estate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 63% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

25,05825,23625,1476 August 2026 — 25,222 subscribers6 August 2026 — 25,222 subscribers6 August 2026 — 25,231 subscribers7 August 2026 — 25,219 subscribers8 August 2026 — 25,220 subscribers10 August 2026 — 25,210 subscribers10 August 2026 — 25,199 subscribers12 August 2026 — 25,195 subscribers13 August 2026 — 25,236 subscribers14 August 2026 — 25,221 subscribers15 August 2026 — 25,205 subscribers17 August 2026 — 25,197 subscribers18 August 2026 — 25,193 subscribers19 August 2026 — 25,187 subscribers20 August 2026 — 25,185 subscribers21 August 2026 — 25,174 subscribers22 August 2026 — 25,169 subscribers24 August 2026 — 25,159 subscribers25 August 2026 — 25,144 subscribers26 August 2026 — 25,173 subscribers27 August 2026 — 25,182 subscribers28 August 2026 — 25,183 subscribers29 August 2026 — 25,179 subscribers30 August 2026 — 25,178 subscribers1 September 2026 — 25,165 subscribers2 September 2026 — 25,142 subscribers3 September 2026 — 25,136 subscribers5 September 2026 — 25,130 subscribers8 September 2026 — 25,109 subscribers11 September 2026 — 25,106 subscribers13 September 2026 — 25,089 subscribers14 September 2026 — 25,090 subscribers16 September 2026 — 25,081 subscribers19 September 2026 — 25,058 subscribers26 September 2026 — 25,062 subscribers4 October 2026 — 25,067 subscribers8 October 2026 — 25,125 subscribers14 October 2026 — 25,138 subscribers15 October 2026 — 25,143 subscribers16 October 2026 — 25,133 subscribers17 October 2026 — 25,129 subscribers18 October 2026 — 25,119 subscribers19 October 2026 — 25,103 subscribers20 October 2026 — 25,102 subscribers21 October 2026 — 25,100 subscribers25,1006 August 202621 October 2026
45 measurements spanning 76 days, net -122. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 25,031–25,263 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)SubscribersChange
21 Oct 2026, 22:2125,100-2
20 Oct 2026, 19:1825,102-1
19 Oct 2026, 18:0125,103-16
18 Oct 2026, 19:5625,119-10
17 Oct 2026, 17:1125,129-4
16 Oct 2026, 13:3725,133-10
15 Oct 2026, 13:4425,143+5
14 Oct 2026, 16:3025,138+13
8 Oct 2026, 22:3825,125+58
4 Oct 2026, 10:1525,067+5
26 Sept 2026, 00:3825,062+4
19 Sept 2026, 04:1825,058-23
16 Sept 2026, 15:3625,081-9
14 Sept 2026, 18:5625,090+1
13 Sept 2026, 03:3925,089-17
11 Sept 2026, 06:0125,106-3
8 Sept 2026, 12:1825,109-21
5 Sept 2026, 03:3925,130-6
3 Sept 2026, 10:0125,136-6
2 Sept 2026, 02:2625,142first reading

Engagement

99 posts held, back to 30 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 111 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.03%
avg views ÷ 25,100 subscribers
Avg views / post
2,270
31 posts measured
Reaction rate
3.15%
reactions ÷ views · ER floor
Posts in window
31
of 99 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 21 October 2026
Posts held99 (30 July 2026 – 21 October 2026)
Views total70,275
Reactions total2,212
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Oct 2026, 02:25 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
791
Videos
377
Links
171

Lifetime counters from Telegram’s own channel header, read 22 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1h 18m
Average length
3m 01s

Measured directly from 26 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

5,728 reactions across 94 posts, in 10 distinct kinds. The most used accounts for 51.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,92751.1%
❤‍🔥72012.6%
👍67811.8%
💯4738.26%
😁4347.58%
👏3325.80%
🏆1222.13%
⚡200.349%
💔150.262%
😱70.122%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 94 of the 99 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 99 most recent posts we hold, published 30 July 2026 to 21 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 99 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @levchenko_realty. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 99 most recent posts we hold for this entry, published 30 July 2026 to 21 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

21 Oct 2026, 17:28 UTC696 views32 reactionsread 22 October 2026
Photo

200к за спасение репутации Пишет мне сейчас одна барышня в личку. Говорит - мы тут нашли статьи в интернетах, там про вас плохо говорят. Открываю ссылки - а там меня разбирают, какой я плохой трейдер и какие у меня нерабочие инвест идеи. Говорит - подаем коллективный иск, с вас всего лишь 200к. При этом, сайты и отзывы выглядят так, как будто их сделали минут за 5 до того, как предложить удалить из за денюжку. Ни …

👍13❤‍🔥11💯8

21 Oct 2026, 09:07 UTC979 views14 reactionsread 22 October 2026
Video

Запись презентации База.Клуб Рассказал о том, что такое Клуб, а также показал: • Как выглядит платформа клуба изнутри • Как работает наш ИИ-тренажер по переговорам • Как пользоваться ипотечными калькуляторами • Что такое образовательные треки Смотрите запись здесь или по ссылке. Кто понял, что клуб - это ТОП, залетайте к нам: Стать резидентом База.Клуб🔥️️️️️️

🔥6❤‍🔥4👍4

20 Oct 2026, 08:28 UTC≈1,310 views15 reactionsread 22 October 2026
Video

На прошлой неделе я закрыла уже 5-ю сделку в рамках клуба. Резидентство окупилось на много-много лет вперед. Ребята, привет! Это Мария Терешок, топ-агент из Брянска, резидент сообщества База.Клуб с первого дня его основания. Мария не только регулярно учится на эфирах клуба, но и пользуется всеми нашими сервисами, а также зарабатывает вместе с коллегами на межрегиональных сделках, которых она провела в сообществе уж…

🔥9🏆4👏2

19 Oct 2026, 06:31 UTC≈1,430 views31 reactionsread 22 October 2026

Самое большое заблуждение Большинство из тех, кто занимается продажами думают, что умеют задавать вопросы. А что тут сложного? Мы ведь с детства задаем друг другу вопросы, это один из самых популярных инструментов коммуникации. Да, в повседневной жизни мы используем вопросы, чтобы посплетничать, узнать как у кого идут дела, пообщаться с коллегами. Но в продажах вопросы - это один из сильнейших (а я бы даже сказал, …

🔥16❤‍🔥9👍6

18 Oct 2026, 11:17 UTC≈1,490 views150 reactionsread 22 October 2026
Photo

Папы, с Днем отца!💪🏻

🔥86❤‍🔥34👍24👏6

17 Oct 2026, 09:51 UTC≈1,800 views32 reactionsread 22 October 2026

Да вам дизайнер все нарисует… Не знаю, согласны вы со мной или нет, но агент должен хорошо разбираться в планировках. Вчера листал объявления и увидел несколько «шикарных» планировочных решений: • Спальня 18 абсолютно бесполезных метров, из которых 7 метров занимает коридор (узкое пространство от двери до спальной зоны, которое иначе как коридором не назовешь) • Треугольная кухня-гостиная • Длинный и нефункциональ…

🔥15💯11👍6

16 Oct 2026, 12:46 UTC≈1,670 views30 reactionsread 22 October 2026
Video

Мир меняется. Продавцы и покупатели меняются. Новые знания в нашей профессии просто необходимы💯 Попросил резидента База.Клуб Веронику Чернову из Санкт-Петербурга оставить отзыв о работе нашего сообщества. Вероника - матерый риэлтор с 19-летним опытом, которая все равно находит, чему еще научиться и я прям кайфую от таких людей🔥 Обязательно посмотрите, какие возможности и сервисы клуба она регулярно использует. Ес…

👍14🔥10👏6

16 Oct 2026, 08:00 UTC≈1,650 views58 reactionsread 22 October 2026
Video

Риэлторы, если вы не хотите опаздывать на показы, но в вашем городе пробки - готовьте деньжата, Тесла выпустили летающий автомобиль😅

😁30🔥22💯6

16 Oct 2026, 06:41 UTC≈1,820 views84 reactionsread 22 October 2026

А ПОЧЕМУ У МЕНЯ НЕТ СДЕЛОК??? Иногда ответ гораздо ближе, чем кажется. Если у вас нет сделок и вы не можете понять, почему же рынок столь несправедлив к вам - не спешите с выводами, просто посмотрите на одну цифру. Когда агенты спрашивают у меня о том, почему у них нет сделок - первый вопрос, который я задаю: «А сколько у тебя в портфеле договоров в активной работе?». Часто ответы такие - 2, 5, 3, 7. На этом разгов…

🔥52👍16💯14⚡1😁1

15 Oct 2026, 13:20 UTC≈1,890 views28 reactionsread 22 October 2026
Photo

Накопительный эффект риэлтора Ребята, привет! Вот уже пару месяцев как я не проводил презентацию клуба, поэтому: 21 октября, среда в 11:00 мск я проведу вебинар, на котором расскажу про одну из моих любимых концепций "Накопительный эффект", расскажу о том, как маленькие действия и улучшения в работе риэлтора неминуемо превращаются в клиентов, сделки и деньги. Именно эта концепция легла в основу База.Клуба, о котор…

🔥13👍8❤‍🔥6😁1

12 Oct 2026, 13:10 UTC≈2,400 views63 reactionsread 22 October 2026
Video

Новый инструмент на платформе База.Клуб - Ипотечный калькулятор🏦 К чему, собственно, предыдущий вопрос. Знаю, что ипотечный калькулятор является базовым инструментом агента, который нужно носить в кармане, чтобы достать при любом удобно случае. Поэтому мы выкатили новый инструмент на платформе - теперь вы можете считать платежи по ипотеке прямо в нашем приложении в любое удобное для вас время! Сделали сразу 3 каль…

🔥43👍14💯5😁1

Showing the 12 most recent of 99 posts we hold for @levchenko_realty. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@levchenko_realty edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
22 October 2026
Most recent edit
22 October 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#59
Артём Ишмухаметов
@artemfrance · 1,227
#60
ВЛАДИС
@vladisrussia · 4,433
#61
🌱Ильдар Хусаинов
@khusainov_ildar · 24,694
#62
ПРАВО И НЕДВИЖИМОСТЬ
@pravoetagi · 8,004
#63
TrendAgent Москва
@trendagent_msk · 23,325
#64
Жить жизнь (by) Прохорова💚
@byprokhorova · 2,768
#65
Налоговая школа Вадима Баранча
@agentschool · 24,770
#66
Инна Адгамова | Альтера
@innaaltera · 2,905
#67
«Движение» | форум недвижимости
@forumdvizhenie · 11,627
#68
М2 — Метр квадратный для профи
@m2rieltor · 16,858
#69
📌Бойко о недвижимости
@investclubBoyko · 17,180
#70
Налоговый Инспектор
@nalogovik_1 · 9,344
#71
Whitewill: партнёрская программа
@whitewillpartners · 8,009
#72
Лена Ситникова | канал
@sitnikova_etagi · 2,857
#73
Брусника | Партнеры | Мск
@brusnikamscw · 15,603
#74
TrendAgent Краснодарский край
@trendagent_krd · 6,912
#75
ИПОТЕКА в РЕГИОНАХ
@regcik · 9,757
#76
Семенова Татьяна | ЛЮБИМЫЙ риелтор в Питере❤️
@tatiana_semenova_spb · 1,027
#77
ПАН Партнер
@panpartner · 8,585
#78
Молокова для экспертов👑
@Molokova_pro · 4,539
#79
Владимир Якуба
@vyakuba · 49,072
#80
Виктор Лапин | Деньги на Недвижке
@lapin_viktor · 5,541
#81
Про недвижимость и инвестиции в Дубае | ОАЭ | Этажи
@dubaiforbrokers · 2,222
#82
Этажи.Инвест. Коммерческая недвижимость
@knetagi · 1,014
#83
TrendAgent СПб
@trendagent_spb · 16,926
#84
Жилконгресс НОВОСТИ
@NewsGilforum · 3,619
#85
Самолет
@gk_samoletru · 79,026
#86

Read from Telegram’s recommendation API, most recently 14 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Нетипичный Риэлтор 👨‍💻
@realtor_1 · 25,026
Telegram ranks this channel #3 of 87 here — alongside 86 others — read 15 September 2026
Авито Недвижимость для агентов
@avito_re_pro · 30,959
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 6 September 2026
Недвижимость Live
@bazaestate · 39,439
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 31 August 2026
Клышин Алексей юрист по недвижимости
@klyshin_A · 65,509
Telegram ranks this channel #9 of 87 here — alongside 86 others — read 3 September 2026
Владимир Якуба
@vyakuba · 49,072
Telegram ranks this channel #11 of 82 here — alongside 81 others — read 26 August 2026
Циан для профи
@cian_realtor · 60,609
Telegram ranks this channel #11 of 86 here — alongside 85 others — read 22 August 2026
ИпотекаPRO I Этажи
@ipotekapro_etagi · 19,137
Telegram ranks this channel #12 of 77 here — alongside 76 others — read 3 October 2026
🌱Ильдар Хусаинов
@khusainov_ildar · 24,694
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 15 September 2026
Домклик PRO
@domclick_pro · 96,274
Telegram ranks this channel #14 of 85 here — alongside 84 others — read 17 August 2026
Александр Попов
@apopovonline · 23,527
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 12 September 2026
Bezdelka - Безопасные сделки с недвижимостью, канал юриста Олеси БухтояровойR
@bezdelkaBuh · 31,731
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 5 September 2026
ГК «А101» - Брокер | Жильё
@a101broker_flat · 19,029
Telegram ranks this channel #21 of 75 here — alongside 74 others — read 4 October 2026
Недвижимость и закон
@pravonadom1 · 29,229
Telegram ranks this channel #25 of 90 here — alongside 89 others — read 8 September 2026
НеФормат | Сергей Смирнов
@smirnov_neformat · 31,250
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 6 September 2026
Смирнов Недвижимость | Vysotsky Estate
@ogo_nedviga · 81,222
Telegram ranks this channel #25 of 92 here — alongside 91 others — read 18 August 2026
Oleg Torbosov
@TorbosovLife · 107,180
Telegram ranks this channel #26 of 92 here — alongside 91 others — read 15 August 2026
Виталий Голицын
@VitalyGolitzyn · 26,682
Telegram ranks this channel #32 of 80 here — alongside 79 others — read 12 September 2026
По уши в Бетоне • Недвижимость
@nedvizhimost_betonn · 46,717
Telegram ranks this channel #33 of 86 here — alongside 85 others — read 26 August 2026
Недвижимость Москвы от Светланы Наумовой
@svetlana_nedvizka_moscow · 36,809
Telegram ranks this channel #36 of 79 here — alongside 78 others — read 2 September 2026
Ипотека и недвижимость
@ipotekahouse · 72,116
Telegram ranks this channel #39 of 81 here — alongside 80 others — read 20 August 2026
Про недвижимость
@azbukafinance · 68,944
Telegram ranks this channel #42 of 88 here — alongside 87 others — read 20 August 2026
Ипотека в России. Новости и аналитика
@rusipoteka · 35,027
Telegram ranks this channel #50 of 85 here — alongside 84 others — read 2 September 2026
Игорь Рызов | Переговоры и продажи
@ryzov_igor · 46,759
Telegram ranks this channel #59 of 98 here — alongside 97 others — read 27 August 2026
Первый ДСК
@pervyidsk · 279,648
Telegram ranks this channel #60 of 74 here — alongside 73 others — read 10 August 2026

This channel appears in 33 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 21 October 2026 — this entry's latest reading, not the date you are reading this.

“Максим Левченко” (@levchenko_realty), 25,100 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/levchenko_realty.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.