Superteam Earn Scraper — Bounties, Projects & EV per Entry

Crypto freelancers check Superteam Earn the way clippers check a campaign board: every day, manually, hoping to catch a well-paid bounty before a hundred other people pile in. The board shows you a grid. It does not show you the three numbers that decide whether a bounty is worth your evening: how much one entry is actually worth once you count the competition, how long you have, and whether the sponsor is trusted.

One run of this Actor returns every Superteam Earn listing as clean structured data: reward in USD, deadline with days-remaining, entries already submitted, a naive EV per entry, verified-sponsor / featured / Pro-gated / AI-agent-allowed flags, skill categories, and a 0-100 opportunity score you can sort by.

No login, no API key, no browser, no proxy. HTTP-only, so runs finish in seconds.

Who is this for?

• Bounty hunters & crypto freelancers — writers, designers, devs. Stop refreshing the board: sort by EV per entry, cap the competition with maxSubmissions, and see what is genuinely still winnable tonight.
• Content creators — most of the board is content bounties (threads, videos, articles). Filter categories: ["Content"] and catch the $10k sponsors before the crowd.
• Sponsors & Superteam chapters — benchmark your reward against every live listing: what does a thread bounty pay this month, and how many entries does $500 actually buy?
• Analysts & builders — ~2,000 completed listings of history in one pull: reward inflation, submission rates, category mix, sponsor activity over time.
• AI agents (MCP) — this board publishes an agentAccess flag, and some sponsors explicitly allow AI-agent submissions. agentAllowedOnly: true returns exactly the listings an agent may enter.

What one row looks like

Field	Example	Notes
title, type	Bring Your Web2 Ideas Onchain, bounty	bounty = open competition; project = application-based gig; hackathon = side tracks
status	open	canonical: open / in_review / completed
rewardUsd	5000	stablecoin listings (USDC/USDT/USDG — ~94% of the board) convert 1:1. A reward in SOL or BONK stays null rather than a made-up number; amount + token always preserved
minRewardUsd, maxRewardUsd	500, 2000	for range-compensated projects
evPerEntryUsd	357.14	the signal the board hides: reward ÷ (entries + yours). See honesty note below
submissions	13	entries already in — a real count, 0 included
competition	medium	none / low / medium / high / brutal
deadline, daysLeft, closingWithin48h	ISO, 9.3, false	deadline math done for you
categories	["Content"]	Content / Design / Development / Other — a listing can carry several
sponsorName, sponsorVerified, isFeatured	Superteam Vietnam, true, true	trust signals
agentAccess	AGENT_ALLOWED	sponsor explicitly accepts AI-agent submissions
isProGated	false	restricted to Earn Pro members
opportunityScore	81.5	see below
url	direct link	straight to the listing

Any value the board does not publish comes back null — never a fabricated zero.

EV per entry, honestly

evPerEntryUsd = reward ÷ (entries + yours) is deliberately naive: bounties pay a top-N split, not an equal split, and your odds depend on quality. But it is comparable across the entire board, which is what a ranking needs. A $10,000 bounty with 0 entries (EV $10,000) and a $500 bounty with 122 entries (EV $4.07) are different universes, and the grid renders them as identical cards. That is the gap this field closes.

How the opportunity score works

Deliberately simple, documented, reproducible — so you can argue with it:

• 45% reward size — log-scaled $50 → $25k, because rewards span three orders of magnitude.
• 25% timing — 3+ days left is full marks; a bounty closing tonight is not an opportunity no matter what it pays.
• 20% competition — decays as entries pile in; 25 entries = half marks. On this board 0 entries genuinely means uncontested: payout happens once at judging, so there is no "has it ever paid" trap.
• 10% trust — verified sponsor + featured placement.

Non-open listings and rewards without a USD value score null, never a guess.

Input examples

The actionable board (default) — everything open, best first:

{ "status": "open", "sortBy": "opportunity" }

The low-competition content hunter:

{ "status": "open", "categories": ["Content"], "maxSubmissions": 10, "minRewardUsd": 300, "sortBy": "evPerEntry" }

Developer gigs from verified sponsors only:

{ "status": "open", "categories": ["Development"], "verifiedSponsorsOnly": true, "sortBy": "reward" }

What may an AI agent enter?

{ "status": "open", "agentAllowedOnly": true }

Full market history for analysis (~2,000 rows):

{ "status": "all", "sortBy": "deadline", "maxItems": 5000 }

How to schedule this Actor (recommended setup)

The board turns over fast: new bounties launch daily, deadlines expire, and a good listing collects a hundred entries within days. A scheduled run is how you enter on day one, when the EV is at its peak.

1. Run the Actor once with your input and check the results.
2. On the Actor page open the … menu and choose Schedule Actor (or go to Schedules and click Create new).
3. Set the cron expression:
   • 0 7 * * * — every morning. The natural cadence for this board.
   • 0 */6 * * * — every 6 hours, when you are racing for fresh high-EV listings.
   • 0 8 * * 1 — Mondays, if you are tracking the market rather than hunting.
4. Attach your saved input. The open board is ~25 rows, so every scheduled run costs about four cents.
5. Add an integration so the board comes to you: Integrations → Slack / Discord webhook / Google Sheets / Zapier / Make, triggered on Run succeeded.

Catching launches: schedule { "status": "open", "maxSubmissions": 3, "sortBy": "evPerEntry" } daily. Anything that appears is a listing almost nobody has entered yet — the exact window where a submission is most valuable.

Why this Actor

• The only Superteam Earn dataset on the Store (checked Aug 2026) — the nearest bounty aggregator covers GitHub/Algora/Dework and does not touch Earn.
• Signals the board does not show — EV per entry, competition buckets, deadline math and a sortable score, all derived in the same run. No snapshot, no state, no second run.
• HTTP-only — full history in seconds, no proxy cost baked into the price.
• Honest nulls — volatile-token rewards and unpublished values are null, never invented; real zeros (0 entries) survive.
• Pay per event — tiny start fee plus a per-listing fee. A scheduled open-board run is ~$0.04; the full ~2,000-row history about $2.40.
• No free-plan cap — free-plan users get the same board as everyone else.

Hunting other money boards? Same treatment, same account: Immunefi bug bounties, Web3 audit contests (Code4rena, Sherlock, CodeHawks, Cantina) and Merkl DeFi rewards.

FAQ

Is this legal? The Actor reads the public listings API — the same data anyone sees on the board without logging in. No login, no private data, no bypassing access controls. Submissions, user profiles and anything behind auth are not touched. Review Superteam's terms for your specific use case.

Is evPerEntryUsd a payout promise? No. It is arithmetic over two published numbers, documented above precisely so you can disagree with it. Winning still depends on the quality of your work.

Why is rewardUsd null on some rows? The reward is denominated in a volatile token (SOL, JUP, BONK…) with no published USD rate, or the compensation is variable. The original amount and token are always in rewardAmountRaw / token. We don't invent exchange rates.

What does agentAccess: "AGENT_ALLOWED" mean? The sponsor explicitly accepts submissions produced by AI agents. HUMAN_ONLY listings should not be entered by bots — respect it.

How fresh is the data? Each run fetches the live board at that moment. See the scheduling section for a hands-off setup.

Found a bug, or want another field (region, skills detail)? Open a ticket on the Issues tab.

Changelog

• 0.1 — Initial release: full board (open / in-review / ~2k completed), USD conversion for stablecoin rewards, EV per entry, competition buckets, category enrichment, agent-access filter, opportunity score, pay-per-event.

Was this Actor useful?

If it caught you a bounty before the crowd arrived, a short review on the Store page helps other hunters decide whether to try it. Reviews are the only signal buyers have before they spend anything.

If something is wrong instead, please open a ticket on the Issues tab rather than leaving it broken — API drift and field requests get fixed.