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Measured on six things
Search X tweets, export followers & monitor accounts through REST, MCP & SDKs.
Usability
64Clear pricing with per-action credit costs, MCP support for Claude/ChatGPT/Cursor, and 53 named tools. Discovery suffers: no filters, no hover states, and a narrow non-sticky search bar.
Screenshots
1 / 1
About this app
Xquik is the world's fastest and cheapest X Twitter scraper service with the most complete X data. Search tweets, export followers & replies, and retrieve profiles through REST, MCP & SDKs. Build account monitoring workflows with signed webhooks. Most other Apify Actors charge before filtering or deduplication. Xquik charges only for delivered, unique, filter-matching results and never pads rows. Xquik is an independent third-party service. Not affiliated with X Corp. "Twitter" and "X" are trademarks of X Corp. Public reads cost $0.00015 per delivered result. Pay-as-you-go starts with a $10 top-up. Monthly plans start at $20.
Key features
- 1Pay-per-delivered-result pricing: $0.00015 per tweet, profile or follower; empty searches cost nothing.
- 253 dashboard tools across extraction, AI analysis, write actions and trending feeds.
- 3REST, MCP and SDK access with signed webhooks for account and keyword monitoring.
Target customer profile
Drawn from the product itself, not from a survey.
Demographic
Developers and engineers building social media analytics tools
Pain points
Collecting X data across separate scripts adds maintenance work.
Primary needs
Tweet search, account data, REST access & MCP support.
Demographic
Social media managers and marketing teams
Pain points
Manual tracking makes brand mentions and account activity difficult to follow.
Primary needs
Account monitoring, signed webhooks & tweet analysis.
Demographic
Data researchers and analysts
Pain points
Manual collection makes repeatable X research harder.
Primary needs
Structured tweet and profile data with export options.
Scout Review
Written by AI from measured evidence, scored out of 100.
Xquik is a third-party X (Twitter) data API that competes on two axes: price and billing honesty. At $0.00015 per delivered tweet, profile or follower, it undercuts X's own API by more than an order of magnitude, and its 'reads bill only results' policy — no charge for empty searches, no padding — is a direct shot at Apify Actors that bill before filtering. The product surface is broad: 53 dashboard tools spanning extraction, AI analysis, write actions and trending feeds, plus REST, MCP and SDK access with signed webhooks for monitoring workflows. Execution is uneven but respectable. Security headers are flawless (13/13), desktop performance is perfect, and accessibility audits clean. Mobile LCP at 4.7s and a homepage that dumps all 53 tools into one unfilterable grid are the visible seams. There's no free tier — $10 minimum to start — and no published compliance certifications yet. For developers who need cheap, filtered X data at volume, the value proposition is concrete and the pricing math is on the page. For everyone else, the density is a hurdle.
Measure by measure
Usability
64Clear pricing with per-action credit costs, MCP support for Claude/ChatGPT/Cursor, and 53 named tools. Discovery suffers: no filters, no hover states, and a narrow non-sticky search bar.
Design
70Clean serif hero, disciplined pricing cards with credit math spelled out, and consistent iconography. The 53-tool grid is a wall of tiny near-identical cards that buries the good stuff.
Speed
72Desktop Lighthouse 100/100; mobile 83/100 with a 4.7s LCP dragging it down, though CLS 0 and TBT 31ms show a stable, responsive page. Self-reported 172.4 tweets/sec benchmark is unverified.
Security
78Full security-header sweep: HSTS, CSP, frame protection, Referrer-Policy, Permissions-Policy, SPF and DMARC all present (13/13). OAuth 2.1 for MCP. No published SOC 2 or audit found.
Accessibility
80Lighthouse accessibility 100/100 with an EN language switcher and clean semantic structure. Automated checks only cover part of WCAG; no public a11y statement was found.
Growth
68Sharp wedge: bill only for delivered, unique, filter-matching rows, undercutting X's API by ~33x and Apify Actors on cost. Developer-first with MCP and webhooks. Early (domain ~0.7yr) but well-aimed.
Improvement areas
- Homepage tool grid is dense and unfilterable — 53 cards with no search filters or hover states.
- Mobile Lighthouse LCP of 4.7s drags an otherwise excellent performance profile.
- No free tier and no published SOC 2/ISO certification to reassure enterprise buyers.
Design & Usability
Xquik's homepage leads with a large serif 'X (Twitter) scraper API' headline and a pricing block that does something most SaaS pricing pages refuse to do: it shows the actual math. 66,666 credits for $10, 140,000/month for $20, and a per-action table breaking down that a tweet costs 30 credits and a like costs 10. That transparency is a genuine usability win. The problem is what comes after: 53 dashboard tools rendered as a dense five-column grid of small cards with two-line descriptions and no filters, hover states, or sticky search. The categories (Extraction, AI Analysis, Write Actions, Trending) are sensible, but finding the one tool you need means scrolling through a wall of near-identical tiles. MCP support for Claude, ChatGPT, Codex and Cursor is a strong onboarding hook for developers, and the docs/MCP/Skill nav is clean. The design craft is above average; the information architecture is where it stumbles.
Speed & Security
Speed is a tale of two devices. Desktop Lighthouse scores a perfect 100/100, while mobile lands at 83/100 with a 4.7-second LCP — the largest contentful paint is doing the heavy lifting against an otherwise excellent profile (CLS 0, TBT 31ms, FCP 1.6s). The site also publishes a self-reported benchmark claiming 172.4 useful tweets per second and the lowest cost per useful tweet among five Apify Actors; that's marketing until independently verified, but it's a specific, checkable claim rather than a vibe. Security is the strongest measured dimension: the HTTP probe found HTTPS enforced, HSTS, CSP, frame protection, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, secure cookies, SPF and DMARC — 13 of 13 checklist points. MCP access supports OAuth 2.1 with an API-key fallback. What's missing is the enterprise layer: no SOC 2, ISO 27001, or published penetration test was found on the pages read, which is normal for a sub-one-year-old product but caps how far the score can climb.
Accessibility & Growth
Accessibility scored a perfect 100/100 on the Lighthouse axe-core audit, and the site ships an EN language dropdown, suggesting multi-language intent. Automated audits are a floor, not a ceiling — they don't test whether a 53-card grid is navigable by keyboard or whether the dense tool descriptions hold up at 200% zoom — and no public accessibility statement was found, so the score sits high in its band rather than at the top. Growth is the more interesting question. Xquik's wedge is genuinely sharp: it bills only for delivered, unique, filter-matching results, while the site claims competitors charge before filtering or deduplication. At $0.00015 per tweet or profile against X's own listed $0.005 per post read, the price argument is loud. Add MCP support, signed webhooks, and REST/SDK access aimed at developers building monitoring workflows, and there's a specific customer with a specific job. The category — third-party X data access — has real, persistent demand, though it carries platform and legal risk that no amount of clever pricing removes. The domain is roughly seven months old, so traction is unproven; the idea, however, is well-aimed.
Conclusion
The honest verdict: Xquik knows exactly who it's for and what it's competing on. The per-action pricing table, the 'empty search costs nothing' policy, and the MCP integrations are the work of someone who has actually used the competing scrapers and gotten annoyed. That's the right instinct. What holds it back is presentation discipline — the homepage tries to sell 53 tools at once and ends up selling none of them clearly — and the missing trust layer that enterprise buyers will ask for. Neither is fatal at this stage. If the team tightens the tool discovery experience, publishes a real benchmark methodology behind that 172.4 tweets/sec claim, and starts accumulating third-party reviews, the fundamentals are there to grow into. The price is right, the headers are right, and the pitch is specific. Now make the front door as sharp as the engine.
Suggestions for improvement
- Add filters, categories-as-tabs, and a sticky search to the 53-tool grid so users can find a tool without scrolling a wall of cards.
- Publish the benchmark methodology behind the 172.4 tweets/sec and $0.000155/tweet claims so they read as evidence, not marketing.
- Fix mobile LCP (4.7s): compress or lazy-load the hero image and preload the largest contentful element.
- Add a small free trial credit grant (e.g. 1,000 credits) to lower the $10 barrier and let developers validate before paying.
Alternatives comparison
Named competitors, point by point. Nobody paid to appear here or to be left out.
| Pricing model | $0.00015 per delivered result; pay-as-you-go from $10; plans from $20/mo | Pay-per-request API pricing for public X data | Credit-based plans for general web scraping API |
|---|---|---|---|
| X/Twitter-specific data access | Tweet search, profiles, followers, replies, communities, lists, Spaces | Tweet search, profiles and followers for X | General-purpose scraping; X data requires custom scraping logic |
| AI agent / MCP integration | MCP server for Claude, ChatGPT, Codex, Cursor; OAuth 2.1 support | REST API; MCP not advertised | REST API; no dedicated MCP server advertised |
| Webhooks / monitoring | Signed webhooks; account and keyword monitors billed per hour | Polling-based API; webhooks not advertised | No native monitoring webhooks; scraping jobs only |
| Free tier / trial | No free plan; $10 minimum top-up | Free trial credits typically offered | Free trial with limited credits |
TwitterAPI.io
API for public X data, including tweet search, profiles & followers.
ScrapingBee
Web scraping API for collecting data from websites.
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