# Equity Crowdfunding Leads (`devilscrapes/equity-crowdfunding-leads`) Actor Unified Wefunder + Republic + StartEngine founder leads in one schema. Founder name, company, tagline, region, raise progress, valuation. Built for VC scouts and SDRs targeting funded startups. - **URL**: https://apify.com/devilscrapes/equity-crowdfunding-leads.md - **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README Equity Crowdfunding Leads ## 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:** ```json { "sources": [], "maxPerSource": 50, "statusFilter": "active", "useProxy": true } ```` **Wefunder only, fintech rows, currently raising (the highest-signal default for SDR pipelines):** ```json { "sources": ["wefunder"], "maxPerSource": 100, "statusFilter": "active", "industryFilter": "fintech", "useProxy": true } ``` **QA fixture — Wefunder + Republic, 3 rows each, no proxy:** ```json { "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: ```json { "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](https://apify.com/DevilScrapes). We monitor publish-day QA failures and ship patches the same week. # Actor input Schema ## `sources` (type: `array`): List of platforms to scrape. Valid values: wefunder, republic, startengine. Leave empty to scrape all three (order: wefunder, republic, startengine). ## `maxPerSource` (type: `integer`): Hard cap on the number of rows returned per source. Default 50; range 1..500. ## `statusFilter` (type: `string`): Wefunder mapping: active=status\_fundraising, funded=status\_funded, all=no tag filter. Republic and StartEngine emit only currently-listed slugs (status filter is informational on those sources). ## `industryFilter` (type: `string`): Optional case-insensitive substring filter applied over each row's tagline or industry. Rows where neither field contains the substring are dropped. Leave empty to disable. ## `useProxy` (type: `boolean`): Route requests through Apify Proxy (BUYPROXIES94952). Recommended — Wefunder and Republic fingerprint datacenter IPs and may block plain exits. ## Actor input object example ```json { "sources": [], "maxPerSource": 50, "statusFilter": "active", "useProxy": true } ``` # Actor output Schema ## `datasetItems` (type: `string`): All dataset items as JSON. ## `datasetItemsCsv` (type: `string`): Same data exported to CSV. ## `datasetView` (type: `string`): Open the run dataset in the Console. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("devilscrapes/equity-crowdfunding-leads").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("devilscrapes/equity-crowdfunding-leads").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call devilscrapes/equity-crowdfunding-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devilscrapes/equity-crowdfunding-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Equity Crowdfunding Leads", "description": "Unified Wefunder + Republic + StartEngine founder leads in one schema. Founder name, company, tagline, region, raise progress, valuation. Built for VC scouts and SDRs targeting funded startups.", "version": "0.1", "x-build-id": "wAE6bK9pP1tLMLYcq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devilscrapes~equity-crowdfunding-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devilscrapes-equity-crowdfunding-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devilscrapes~equity-crowdfunding-leads/runs": { "post": { "operationId": "runs-sync-devilscrapes-equity-crowdfunding-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devilscrapes~equity-crowdfunding-leads/run-sync": { "post": { "operationId": "run-sync-devilscrapes-equity-crowdfunding-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sources": { "title": "Sources", "type": "array", "description": "List of platforms to scrape. Valid values: wefunder, republic, startengine. Leave empty to scrape all three (order: wefunder, republic, startengine).", "default": [], "items": { "type": "string" } }, "maxPerSource": { "title": "Max rows per source", "minimum": 1, "maximum": 500, "type": "integer", "description": "Hard cap on the number of rows returned per source. Default 50; range 1..500.", "default": 50 }, "statusFilter": { "title": "Status filter", "enum": [ "active", "funded", "all" ], "type": "string", "description": "Wefunder mapping: active=status_fundraising, funded=status_funded, all=no tag filter. Republic and StartEngine emit only currently-listed slugs (status filter is informational on those sources).", "default": "active" }, "industryFilter": { "title": "Industry filter (substring)", "type": "string", "description": "Optional case-insensitive substring filter applied over each row's tagline or industry. Rows where neither field contains the substring are dropped. Leave empty to disable." }, "useProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy (BUYPROXIES94952). Recommended — Wefunder and Republic fingerprint datacenter IPs and may block plain exits.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```