Skip to main content

Why Xquik wins over TweetAPI

Xquik is the fastest X data service, & the cheapest per useful result. Public Apify benchmarks ran on 2026-09-27 & 2026-09-29. Xquik’s X Tweet Scraper delivered 39.2 useful tweets per second, the fastest. It cost USD 0.000175 per useful tweet, the lowest of 12 Actors. Every run is public on the benchmark page. Xquik publishes reproducible benchmarks with run IDs. TweetAPI publishes none. Its own Apify Actor, tweetapi/twitter-x-search-scraper, ran in Xquik’s benchmark. It cost USD 0.000374 per useful tweet at 2.6 per second. See its public run. Xquik bills only delivered, unique, filter-matching results. Empty pages, failed requests, retries, duplicates & filtered rows cost nothing. TweetAPI’s docs charge units per call, not per tweet returned. Empty results, pagination, retries & repeated requests each use units. Pay-as-you-go units cost USD 0.0005 each. A search that keeps 3 tweets costs USD 0.0005 there. On Xquik, it costs USD 0.00045. An empty search costs 0 on Xquik. That makes Xquik the cheapest per useful result. Xquik also covers more of X in 1 product. It offers 23 extraction tools, 18 write actions & 1-second monitors with signed webhooks. Agents connect through a remote MCP server, & developers use SDKs in 8 languages.

Where TweetAPI fits

TweetAPI calls itself an independent third-party API for developers & researchers. It lists 82 endpoints & sells units by plan or pack. This guide compares TweetAPI & Xquik on specific X tasks. It covers search billing, monitors, writes, SDKs & agent connections.
Facts on this page come from TweetAPI’s site & Apify listing, read on 2026-10-15. Verify current pricing & terms on the official site before buying.

Quick answer

Pick Xquik

Xquik is faster & cheaper per useful result. It adds 1-second monitors, signed webhooks, exports & 8 SDKs.

When TweetAPI may fit

Your app sends X Chat messages through an API.

Source-backed TweetAPI scope

  • TweetAPI lists 82 documented endpoints.
  • Pro costs USD 17 a month for 100,000 units.
  • Ultra costs USD 57 for 500,000 units. Mega costs USD 197 for 2,000,000.
  • Pay-as-you-go packs cost USD 5 per 10,000 units, USD 0.0005 each.
  • Pay-as-you-go units expire after 365 days.
  • Units are charged per call, not per tweet returned.
  • Most calls cost 1 unit. An X Chat send costs 10. A login costs 500.
  • Empty results, pagination, retries & repeated requests each use units.
  • Rate limits run from 10 to 180 requests a minute.
  • Writes need account authorization fields beyond the API key.
  • SDKs cover Python & Node.js.
  • The hosted MCP server uses OAuth & is read-only.
  • Its monitoring guide fetches posts when your app sends a request.
  • Its Apify Actor bills USD 0.00025 per tweet, plus USD 0.001 per run.
  • New accounts get 100 free units with no card.

Comparison

What to test in Xquik

Price the whole task with your real queries. Count empty calls, sparse pages, retries & monitors. Xquik bills only the tweets you keep.

Tweets, followers & exports

23 extraction tools cover tweets, replies, quotes, reposts, likes, followers, following, verified followers, communities, lists, Spaces, articles, and search. Export results to CSV, JSON, XLSX, Markdown, or API responses.

Automation & writes

18 X write actions cover tweets, media uploads, likes, retweets, follows, DMs, profile updates, and community actions from connected accounts.

Monitoring & delivery

Account and keyword monitors check active streams every 1 second. Store events, poll them, or deliver them through signed webhooks.

Developer tools

Choose REST, an SDK, MCP, or pay-per-use reads. Credit records show each request’s cost.

Migration path

Run the same queries in both products. Compare kept tweets, empty calls, fields & cost. Move the task once the systems that read the data accept Xquik’s output.

Xquik pricing

Every action in credits & dollars, beside the X API’s own rates.

Keyword monitors API

Create keyword monitors & receive signed webhook events.

Official TweetAPI pricing

Verify current prices before making a final decision.