Pricing

from $1.05 / 1,000 mastodon data rows

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Mastodon Posts by Hashtag, Account, Thread & Trends (no login)

Try for free

Public Mastodon data as rows: posts of one or more hashtags with boolean tag combinations, an account's public posts, the whole reply tree of a post, trending tags and news links, hashtag discovery with 7-day usage, and profile counts. Authors from any federated server. Keyless API, UTC dates.

Pricing

from $1.05 / 1,000 mastodon data rows

Rating

0.0

(0)

Developer

Samat Makatov

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Configure MCP server with Mastodon Scraper: Hashtags, Accounts, Threads, Trends

The configuration above connects to the hosted Apify MCP server with the Mastodon Scraper: Hashtags, Accounts, Threads, Trends Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the Mastodon Scraper: Hashtags, Accounts, Threads, Trends Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,yadroo/mastodon-public-posts.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Mastodon Scraper — Hashtags & Account Posts

hipersoft/mastodon-scraper

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scrapestorm/mastodon-profile-posts-scraper---cheap

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Comments of any public LinkedIn post by URL without cookies or login: the comments LinkedIn shows to visitors (up to 10 per post) with author, profile URL, text, date and likes, plus the post text, author, likes and total comments. New comments flagged on scheduled runs. $0.0005 per comment.

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