#webdata

Live, measured metrics for the hashtag #webdata from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #webdata

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$240.06/ year · 7-character #name
Claim #webdata — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
8
Uses / 7 days
Mastodon
4
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-04 12:22 UTC
2
10-29
1
10-30
0
10-31
0
11-01
4
11-02
1
11-03
0
11-04

8 uses by 4 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-11-04 12:22 UTC
#webdataleaks
0 uses · 0 accounts / 7d
#WebDataServices
0 uses · 0 accounts / 7d
#webdatastudiopatriotism
0 uses · 0 accounts / 7d
#webdataextractionservices
0 uses · 0 accounts / 7d
#webdataset
0 uses · 0 accounts / 7d
#webdatastudiocelebrates
0 uses · 0 accounts / 7d
#webdatascraping
0 uses · 0 accounts / 7d
#webdataextractor
0 uses · 0 accounts / 7d
#webdatastudio
0 uses · 0 accounts / 7d
#WebDataExtraction
0 uses · 0 accounts / 7d
#webdataownership
0 uses · 0 accounts / 7d
#webdataapi
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-04 12:22 UTC

Everything below is measured over the latest 40 public posts (spanning ~1097 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 0

Top of the latest posts

  • Before you write a scraper, use Chrome or Firefox DevTools to find where the data lives, test selectors, check whether JavaScript is involved and spot the requests worth copying. https://www.zyte.com/blog/inspect-element-devtools-web-scrapi

    Zyte@[email protected]♥ 0↻ 02026-11-03 09:03 UTCView post →

  • The barrier headlines sound extreme, but the cost data is more differentiated: 87.9% of top sites are Simple or Easy to access - and that means cost-effective. https://www.zyte.com/blog/sowa-complexity-cost/?utm_campaign=blog-posts&utm_acti

    Zyte@[email protected]♥ 0↻ 02026-11-02 09:02 UTCView post →

  • AI changes extraction, adaptation and the cost of adding a source. It does not change access. What is genuinely different, with the arithmetic. https://www.zyte.com/blog/ai-web-scraping-as-the-future-of-scalable-data-collection/?utm_campaig

    Zyte@[email protected]♥ 0↻ 02026-11-02 08:39 UTCView post →

#webdata across platforms

every network with a public tag surface

Follow #webdata straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/webdata