01 / UI
Tests like your users
Real browser sessions against your real app — sign-up, checkout, uploads, the weird edge cases. If a user can click it, the spider covers it.
Autonomous QA — always on
Every bug ends up in the web.
QA Spider tests your product the way users break it — every page, every flow, every API endpoint, on every deploy. Regressions die in staging, and confirmed bugs land where your team already works — not in a report nobody reads.
psst — hover the web. the spider is hungry.
Works with your stack
Trackers, chat, CI — and a custom adapter for anything with an API. The spider reports wherever your team lives.
JiraAzure DevOpsClickUpLinearGitHub IssuesSlackDiscordTelegramGitHub ActionsClaude AIFirecrawlREST & GraphQL APIsWeb3 walletsEVM testnetsYour internal tools
How it works
The loop that ends 2 a.m. hotfixes.
- 01
Your product
A URL and staging credentials. No SDK, no code access, nothing to install.
- 02
The spider crawls & tests
Every page mapped, every flow driven in a real browser, every API endpoint checked — re-run on each deploy.
- 03
Your team gets pinged
Failures land in Slack, Discord or Telegram the minute they happen — with a screenshot and a trace, not a log dump.
- 04
Bugs file themselves
Confirmed bugs become deduped tickets in Jira, Azure DevOps, ClickUp, Linear or GitHub — with repro steps attached. Devs just fix.
- 05
Fixes get retested
When the fix ships, the spider re-runs the exact scenario, confirms it, and locks it in as a permanent regression guard.
Step 05 loops back to 02 — every fix becomes a guard, forever.
Why teams switch
A QA engineer that never sleeps, never skips a case, never forgets to file.
02 / API
Tests beneath the UI
REST and GraphQL contracts, auth boundaries, error codes and response shapes. Backend regressions get caught even when the frontend still looks fine.
03 / Ship
Fewer bugs reach production
Every deploy re-runs the whole suite. The regression that would have paged you at 2 a.m. dies quietly in staging — with a screenshot, a trace and repro steps attached.
04 / File
Bugs file themselves
The spider writes the ticket for you — deduped, with repro steps, a screenshot and a trace — straight into Jira, Azure DevOps, ClickUp, Linear or GitHub. Your developers do the only part that needs a human: the fix.
Web2 + Web3
dApps and smart contracts are fair game.
Blockchain products break in ways classic test suites never see. The spider speaks both worlds — same loop, same tracker, same guarantees.
Wallet flows
Connect, network switch, transaction signing — and the reject paths users actually hit. Tested with emulated wallets, no real funds at risk.
Smart contracts
Contract calls exercised against testnets and forked mainnet: state changes, reverts, gas-estimation failures and event emissions.
UI ↔ on-chain truth
The classic dApp bug is a UI that disagrees with the chain. The spider cross-checks rendered balances, positions and history against actual chain state.
Meet the Helper
Not just a crawler — a QA copilot in your workflow.
Alongside the autonomous spider, QA Spider Helper works with your team on the human side of testing — drafting smoke-test stories, test plans and test cases, and scaffolding the automation. You review; nothing runs unapproved.
Smoke-test stories
Point it at a release or a user story and it drafts the smoke-test story — the handful of checks that prove the critical path still works before you ship.
Test plans from a ticket
Paste a ticket or a spec and get a structured test plan back: scope, risk areas, environments, data needs and the flows worth covering — ready to review.
Test cases from acceptance criteria
Turns acceptance criteria into concrete, step-by-step test cases with expected results — the busywork of writing cases, done in seconds.
Automation scaffolding
Approve a case and the Helper scaffolds the automated test for it, wired into your suite — you review the code, it never runs unreviewed.
Helper drafts · your team approves · the spider runs it on every deploy
Try the Helper →Who it’s for
Built for the business. Loved by devs and QA.
For the business
Ship faster, without the risk
- Fewer production incidents — quality you can put in front of customers
- A full QA function at a fraction of the headcount cost
- Coverage you can show auditors, partners and your board
For engineering teams
Ship without the regression tax
- No test suite to write or maintain — the spider does both
- Deploy-time feedback in minutes, not a QA cycle later
- Production incidents drop because staging catches them first
For QA engineers
Automation that works for you, not instead of you
- Test cases drafted from a real crawl of the product — you review, not write
- Automation and self-healing handled; you own coverage strategy
- More time for exploratory testing and the judgment calls tools can’t make
From the web — last 90 days
Bugs stopped reaching production. The web caught them first.
Bugs caught
1,204
Flows covered
81%
Prod incidents
−72%
Median time to file
3.4 min
Aggregate across active suites · illustrative
What a caught bug looks like
Not a red line in a log — a complete, reproducible ticket with a root cause and a suggested fix, plus the runs that produced it. Here’s a real example of what lands in your tracker.
QA-1042Open · Highfiled to Jira · by QA Spider
Title
Checkout: expired promo code shows “applied” and charges full price
Description
On /checkout, applying an expired promo code shows “Code applied ✓” and charges the full amount. No discount is given and no error is surfaced — the customer is silently overcharged.
Steps to reproduce · STR
- Add any item to the cart and open /checkout
- Enter the promo code SUMMER24 (expired) and press Apply
- Pay with test card 4242 4242 4242 4242
Actual result · AR
“Code applied ✓” badge shown · order total unchanged · full amount charged · no error message.
Expand full ticket — expected result, root cause, fix & screenshotCollapse ticket
Expected result · ER
Inline error “This code has expired.” · Apply stays disabled · payment blocked until resolved.
Root cause
Client trusts
POST /api/promo returning 200 { valid: true, discount: 0 } for expired codes instead of rejecting them.Suggested fix
Return
422 code_expired from /api/promo, surface the message inline, and keep the Pay button disabled while a code is invalid.Screenshot · trace attached
/checkout
Code applied
⚠ total unchanged — $149.00
Recent runs
| Project | Env | Result | Time |
|---|---|---|---|
| c(client name hidden) | prod | passed214✓ 0✗ 0⚡ | 2m 14s |
| c(client name hidden) | staging | bug filed208✓ 1✗ 0⚡ | 3m 02s |
| p(client name hidden) | dev | flaky healed176✓ 0✗ 2⚡ | 4m 09s |
| g(client name hidden) | prod | passed88✓ 0✗ 0⚡ | 1m 47s |
Every deploy · nightly · on demand
Every bug lands like this — deduped, reproducible, with a root cause and a suggested fix — straight in the tracker your team already uses. Developers just fix.
Manual QA vs QA Spider
Do the math on your regression pass.
Slide your real numbers in. The spider does the same pass in minutes — on every single deploy.
| Manual QA | QA Spider | |
|---|---|---|
| Regression per release | The parts someone had time for | Every flow, every release |
| Feedback after a deploy | Hours to days | Minutes |
| Nights & weekends | Someone clicks through checkout at 11pm | The spider does not sleep |
| Bug reports | "It broke on my machine" | Repro steps, screenshot, trace |
| When the UI changes | Re-learn, re-click, re-document | Suite heals itself |
| Cost as you grow | Scales with headcount | Flat per project |
Your numbers
Manual hours / month
0 h
Spider runtime / deploy
9 min
Saved / month vs $990 plan
$0
Pays for itself
8.5×
Assumes 20 minutes to execute and document one flow by hand, $990/mo Orb Weaver plan, spider tests running in parallel. Your mileage will vary — that’s what the pilot crawl is for.
Two depths of coverage
Start at the surface. Go as deep as you trust us.
Surface coverage
Start in minutes · no access needed
Everything the public can reach
Pages, forms, user flows and public APIs — tested from the outside, exactly the way a visitor (or an attacker) sees them. Starts from nothing but a URL.
- Site-wide crawl & flow map
- Smoke + regression suites
- Public API health checks
- The demo below runs this exact pass
Deep coverage
NDA signed first · full access
Inside the product, under NDA
We plug into your project — staging credentials, repositories and internal tools — and cover what surface testing can’t see. Every deep engagement starts with a signed NDA.
- Authenticated & role-based flows
- REST / GraphQL contract tests
- Data integrity after mutations
- Coverage mapped to your actual routes & repos
Try the spider
See what we’d test on your site.
Drop a URL. The spider maps your pages and drafts a coverage plan in seconds.
Pricing
A QA team for less than a QA hire.
Spiderling
$290/mo
One product, a nightly safety net.
- 1 project · smoke + core flows (≤75 tests)
- Nightly runs
- GitHub Issues + Slack
- Monthly coverage report
Orb Weaver
Most teams$990/mo
For teams shipping daily.
- 3 projects · full UI + API regression (≤400 tests)
- Every deploy (GitHub Actions) + nightly
- All trackers + all notifiers
- AI failure triage (Claude) · flaky-test healing
- Dedicated QA engineer — suite setup & maintenance
- Coverage growth reports
Colony
Custom
Platforms & agencies.
- Unlimited projects & tests
- Custom cadence · parallel runners
- Custom adapters · SSO · on-prem runners
- Dedicated QA engineer · SLA
FAQ
The questions engineers actually ask.
Something missing? Ask the humans — there’s a form right below.
How is this different from writing automated tests ourselves?
Nothing stops you — QA Spider writes standard, open-source test code your team could write by hand. The difference is who does the work: the spider maps your app, drafts the test cases, automates them, runs them on every deploy, repairs selectors when your UI changes, and files the bugs. Your engineers review results instead of maintaining test code.
Do you test APIs or just the UI?
Both, and the API layer is a first-class citizen: REST and GraphQL contract checks, auth boundaries, error handling and response shapes. Many regressions never show up in the UI — API checks catch them earlier and run in seconds instead of minutes.
What is the difference between surface and deep coverage?
Surface coverage needs nothing but a URL — we test everything publicly reachable and you get a report in days. Deep coverage plugs into your project: staging credentials, repositories and your internal tools, covering authenticated flows, API contracts and data integrity. Every deep engagement starts with a signed NDA.
Do you need access to our source code?
Not for surface coverage — the spider tests your product the way a user experiences it, through the browser and your public API. Deep coverage can go further with repository and tooling access (under NDA), which unlocks contract tests and coverage mapped to your actual routes.
How do you handle login, payments and test data?
You provide test accounts for staging, and the spider drives real sessions with them — sign-in, checkout with test cards, form submissions. Mutating flows run only against dev and staging. Production gets read-only checks, never writes.
Won't this flood our bug tracker with noise?
Every failure goes through triage before anything is filed: flaky tests get repaired, infrastructure blips get retried, and only confirmed product bugs become tickets — deduplicated, with repro steps, a screenshot and a trace attached. Bug filing is approval-gated, so nothing lands in your tracker without a human saying yes.
What happens when our UI changes?
The suite heals itself. When a locator breaks because you shipped a redesign — not a bug — the spider repairs the test and notes the change. When behavior actually regresses, it files a bug instead of silently patching the test to stay green. That distinction is the whole point.
Which stacks do you support?
Anything a browser can reach: React, Vue, Angular, server-rendered apps, plain HTML. API checks cover REST and GraphQL. If your users can click it, the spider can test it.
Do you test Web3 / blockchain products?
Yes — dApps are first-class. The spider drives wallet flows with emulated wallets (connect, network switch, sign, reject), exercises smart-contract interactions against testnets or a forked mainnet, and cross-checks what your UI shows against actual on-chain state. Contract-repo-level coverage is part of a deep engagement, under NDA.
Is it safe to run against production?
Yes — production runs are restricted to read-only smoke checks (page loads, critical rendering, API health). Anything that creates, edits or deletes data is tagged mutating and only ever runs on dev or staging.
How long does onboarding take?
The first crawl and draft coverage plan take minutes — try it right on this page. A reviewed, running suite with tracker and chat integrations is typically live within a few days, not weeks.
I'm a QA engineer. Does this replace me?
No — it eats your busywork. The spider drafts test cases, automates them and keeps them green, so you spend your time on coverage strategy, exploratory testing and the judgment calls automation cannot make. On the Orb Weaver plan, a QA engineer from our team also helps set up and maintain your suites.
Who owns the tests?
You do. The suites are standard open-source test code — no proprietary DSL, no lock-in. Export them any time and run them yourself; they'll work without us.
Contact
Talk to the humans behind the spider.
Tell us what you’re shipping. You’ll get a reply within one business day — usually with a pilot crawl of your staging environment already attached.
- 01 — intro call or async, your pick
- 02 — pilot crawl of your staging env
- 03 — coverage report + suite proposal
Start today
Ship without holding your breath.
Point the spider at your product. The first coverage plan lands in minutes.
Start crawling