Equity Crowdfunding Leads

We do the dirty work so your dataset stays clean. 😈

$5.05 / 1,000 rows — 6x cheaper than Crunchbase scrapers. Unify currently-raising and recently-funded campaigns from the three biggest US equity-crowdfunding platforms (Wefunder, Republic, StartEngine) into one flat founder-lead dataset. Built for VC scouts, SDRs targeting founders, and competitive-intel analysts who today need to hand-visit three platforms with no shared schema.

This Actor hits the source endpoints directly — Wefunder's internal JSON API, Republic's SSR shell, StartEngine's offering sitemap — parses each with Pydantic-validated models, and pushes a single normalized dataset to Apify. No login. No API key. No Crunchbase ToS exposure. Wefunder alone surfaces 4,800+ currently-listed companies with founder name, tagline, raise progress, investor count, and pre-money valuation in one call.

🎯 What this scrapes

Three equity-crowdfunding platforms, one schema:

1. Wefunder — wefunder.com (primary source; full founder + tagline + raise progress + valuation payload)
2. Republic — republic.com (secondary; slug + company name from trending carousel + JSON-LD breadcrumb)
3. StartEngine — startengine.com (secondary; slug + company name from sitemap; financials nullable in v1 — detail pages are JS-gated)

Per-source coverage matrix (v1):

Source	Slug	Company name	Tagline	Founder	Raised $	Valuation $	Investors
Wefunder	yes	yes	yes	yes	yes	yes	yes
Republic	yes	yes	—	—	—	—	—
StartEngine	yes	yes	—	—	—	—	—

Output fields:

Field	Type	Description
source	string	Source platform (wefunder, republic, startengine)
campaign_slug	string	URL slug (e.g. riserobotics, atari-hotels, ai-frontier-fund)
company_name	string	Display name
tagline	string | null	Short pitch one-liner
industry	string | null	Vertical / category label
location	string | null	Region, state, or city
founders	array	List of founder names (empty when none disclosed)
website_url	string | null	External company website when linked
target_amount_usd	number | null	Funding goal in USD
raised_amount_usd	number | null	Running total raised in USD
num_investors	integer | null	Current investor count
valuation_usd	number | null	Pre-money valuation in USD
revenue_usd	number | null	Latest annual revenue (Form C) when published
funding_stage	string | null	Derived stage label (raising, funded, closed)
campaign_url	string	Canonical campaign detail URL
scraped_at	string	ISO 8601 UTC timestamp

🔥 Features

• Three platforms, one schema — drop straight into your CRM, spreadsheet, or BI tool with no per-source normalization.
• Wefunder primary path — full founder + tagline + raise progress + valuation per row via the internal JSON API the Wefunder SPA itself calls.
• Pre-money valuation parsing — Wefunder's $62.1M-style shorthand auto-converted to a numeric USD float.
• Per-source isolation — one source failure (Cloudflare block, page restructure) does not abort the run; the other two still produce data.
• Pydantic v2 validation — both input and dataset rows are model-validated; invalid input fails fast with a clear error before any network call.
• Filter knobs — restrict by source list, funding status (active / funded / all), industry substring, or hard row cap per source.
• No browser — pure HTTP with curl-cffi browser TLS fingerprint impersonation; low compute footprint and fast runs.
• Exponential backoff on 429 / 503 with Retry-After honoured; max 5 attempts.
• Apify Proxy on by default — BUYPROXIES94952 group clears Wefunder + Republic CF fingerprinting from datacenter IPs.

💡 Use cases

• VC scout pipelines — schedule weekly runs, enrich with LinkedIn lookups on founders[], build a "first dollar in" tracker for sub-seed deals raising on Wefunder.
• SDR founder outreach — filter by industry substring (e.g. "fintech", "climate", "AI"), drop founders into your email tool, message before a Series A bump.
• Competitive intelligence — track which sectors are over-raising vs under-raising quarter-over-quarter; spot whitespace before incumbents do.
• Crowdfunding leaderboards — publish a public site ranking the fastest-growing campaigns this week; updates daily on a scheduled run.
• Cap-table benchmarks — pre-money valuation distribution by sector at the Reg CF stage, a niche cleanly covered by Wefunder's terms.nb field.
• Form C deep dives — pair this Actor with sec-edgar-filings-scraper to follow the slug from Wefunder back to the canonical Form C / Form C-AR PDF on EDGAR for revenue, expense, and SAFE term extraction.

⚙️ How to use it

1. Open the Actor input form.
2. (Optional) Pick Sources — leave empty to scrape all three, or list a subset like ["wefunder"].
3. (Optional) Set Max rows per source — default 50, cap 500.
4. (Optional) Pick Status filter — active (default) for currently raising, funded for recently funded, all for both.
5. (Optional) Set Industry filter — a case-insensitive substring matched against tagline or industry.
6. Leave Use Apify Proxy on (default) — Wefunder and Republic block plain datacenter IPs.
7. Click Start. Results stream into the default dataset.

Quick examples

All three sources, default settings:

{
  "sources": [],
  "maxPerSource": 50,
  "statusFilter": "active",
  "useProxy": true
}

Wefunder only, fintech rows, currently raising (the highest-signal default for SDR pipelines):

{
  "sources": ["wefunder"],
  "maxPerSource": 100,
  "statusFilter": "active",
  "industryFilter": "fintech",
  "useProxy": true
}

QA fixture — Wefunder + Republic, 3 rows each, no proxy:

{
  "sources": ["wefunder", "republic"],
  "maxPerSource": 3,
  "statusFilter": "active",
  "useProxy": false
}

📥 Input

Field	Type	Required	Default	Description
sources	array of source literals	no	[] (all three)	Subset of wefunder, republic, startengine
maxPerSource	integer	no	50	Hard cap per source; range 1..500
statusFilter	enum string	no	"active"	One of active / funded / all
industryFilter	string | null	no	null	Case-insensitive substring filter over tagline/industry
useProxy	boolean	no	true	Route via Apify Proxy (BUYPROXIES94952)

📤 Output

One dataset row per discovered campaign. Example record — Wefunder RISE Robotics as of 2026-05-16:

{
  "source": "wefunder",
  "campaign_slug": "riserobotics",
  "company_name": "RISE Robotics",
  "tagline": "Electrifying heavy machines",
  "industry": null,
  "location": "MA",
  "founders": ["Hiten Sonpal"],
  "website_url": null,
  "target_amount_usd": null,
  "raised_amount_usd": 17448682.0,
  "num_investors": 417,
  "valuation_usd": 62100000.0,
  "revenue_usd": null,
  "funding_stage": "raising",
  "campaign_url": "https://wefunder.com/riserobotics",
  "scraped_at": "2026-05-16T13:40:00.000Z"
}

Download the dataset as JSON, CSV, Excel, or XML from the Export button on the run page.

💰 Pricing

Pay-Per-Event (PPE):

Event	Rate (USD)	Trigger
actor-start	$0.05	Once per Actor run at boot
result-row	$0.005	Per campaign row pushed

A typical run (all three sources, default 50/source = 150 rows) costs ~$0.80. Per-1,000-row extrapolation: $5.05 — roughly 6x cheaper than Crunchbase-style scrapers at $30/1k, while sourcing from public crowdfunding campaigns (cleaner ToS posture than Crunchbase scraping).

🚧 Limitations

• StartEngine detail pages are JavaScript-gated. v1 emits one row per offering slug from the public sitemap-private-offerings.xml with name derived from the slug; live raise progress, valuation, and investor count stay nullable on this source. A v2 Camoufox-backed full-render path is planned.
• Republic financials are client-rendered. v1 surfaces ~10 trending campaign slugs per run from the SSR shell with company name from the JSON-LD breadcrumb. Raised amount, valuation, and investor count are out of reach without a real browser.
• Wefunder is the data-rich source. Run Wefunder-only (sources: ["wefunder"]) when you need the most fields per row.
• Authoritative campaign data only. No SEC EDGAR Form C parsing (use sec-edgar-filings-scraper), no investor identity scraping (privacy), no comment threads or campaign updates.
• 7-day default-storage retention on the Apify free plan. Schedule runs and export to your own storage for time-series.
• No historical tracking. Every run is a fresh snapshot. Pipeline runs into BigQuery / S3 / Snowflake to build deltas.

❓ FAQ

Why only these three platforms? They are the three largest US equity-crowdfunding portals by total capital deployed: Wefunder, Republic, and StartEngine. NextSeed, MicroVentures, and the LATAM portals are deliberately out of scope for v1 — open a feature request if you need them.

Why do Republic and StartEngine return so few fields compared to Wefunder? Republic and StartEngine are SPAs whose investment data is rendered client-side and gated behind PerimeterX/Datadome challenges that require a real browser to clear. We emit slug + canonical company name + campaign URL from the unauthenticated surface (carousel anchors / sitemap) so the data is still useful as a discovery feed; v2 plans Camoufox full-render for the rich fields.

Where does the Wefunder valuation come from? The Wefunder /-/companies/explore endpoint embeds pre-money valuation as dollar-shorthand text ("$62.1M", "$700K", "$1.2B") in the terms.nb field. This Actor parses that shorthand into a numeric USD float in valuation_usd. Malformed values emit null rather than crashing.

Does this Actor track price / valuation changes across runs? No — every run is a fresh snapshot. Schedule runs and export to your own storage to build a time series. Apify's default run-scoped storage is purged after 7 days on the free plan.

Companion Actor? Yes — sec-edgar-filings-scraper is the natural follow-up for any campaign you want a deep dive on. Take the slug from this Actor, look up the issuer's CIK on EDGAR, and parse the Form C / Form C-AR PDFs for revenue, expense, share count, and SAFE-term detail.

💬 Your feedback

Found a parser that broke after Wefunder, Republic, or StartEngine restructured their page? Want a fourth platform added (NextSeed, MicroVentures, etc.)? Open an issue on the Actor's Apify Store page or contact us at apify.com/DevilScrapes. We monitor publish-day QA failures and ship patches the same week.