# IndieHackers Product Scraper (`obsidian937/indiehackers-product-scraper`) Actor Extract IndieHackers products: name, tagline, description, website, monthly revenue, followers, verticals, funding and platform tags. No proxy needed. Browse the full catalog, search by keyword, or filter by revenue and vertical. - **URL**: https://apify.com/obsidian937/indiehackers-product-scraper.md - **Developed by:** [Obsidian IT Consulting SRL](https://apify.com/obsidian937) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 ## IndieHackers Product Scraper Extract products from [IndieHackers](https://www.indiehackers.com/products) — the largest community of bootstrapped founders. Get names, taglines, descriptions, websites, **self-reported monthly revenue**, follower counts, and rich vertical/funding/platform tags for 31,000+ products. No proxy required. ### What you get | Field | Description | |-------|-------------| | `name` | Product name | | `tagline` | One-line description | | `description` | Full product description | | `websiteUrl` | Product website | | `indiehackersUrl` | Link to the IndieHackers product page | | `revenue` | Self-reported monthly revenue (USD) — see note below | | `last30DaysUniques` | Self-reported unique visitors in the last 30 days (often null) | | `numFollowers` | Number of IndieHackers followers | | `startDateStr` | Month the product started (e.g. `2026-01`) | | `avatarUrl` | Product logo image URL | | `verticals` | Vertical tags (e.g. `ai`, `saas`, `finance`, `productivity`) | | `platforms` | Platform tags (e.g. `web`, `ios`, `android`, `desktop`) | | `revenueModels` | Revenue model tags (e.g. `subscription`, `advertising`, `partnerships`) | | `funding` | Funding tags (e.g. `bootstrapped`, `self`, `venture`) | | `commitment` | `side-project` or `full-time` | | `employees` | Team size bucket (e.g. `0`, `under-10`) | | `soloFounder` | Whether the product has a solo founder | | `foundersCode` | Whether the founders code (true/false/null) | | `createdAt` / `publishedAt` | ISO timestamps | | `tags` | Full raw tag list | | `productId` | IndieHackers product slug | ### Use cases - **Lead generation** — find bootstrapped founders with proven revenue to pitch tools, services, or partnerships - **Market research** — see which verticals and revenue models are growing - **Competitive intelligence** — track new entrants and their reported traction in your category - **Investor / acquirer sourcing** — filter profitable indie businesses by revenue and vertical - **Trend analysis** — export the full catalog and analyze revenue distributions over time ### Examples #### Browse the most recent products ```json { "sortBy": "recent", "maxItems": 200 } ```` #### Find profitable AI SaaS businesses ```json { "sortBy": "revenue", "verticals": ["ai", "saas"], "minRevenue": 1000, "maxRevenue": 1000000, "maxItems": 500 } ``` #### Keyword search ```json { "searchQuery": "newsletter tool", "maxItems": 100 } ``` #### New launches since a date ```json { "sortBy": "recent", "createdAfter": "2026-05-01", "maxItems": 0 } ``` #### Recurring launch monitor (delta mode) Run this on a schedule (e.g. daily) with a webhook. The first run sets a baseline; every run after returns **only the products launched since the previous run** — no duplicates to dedupe yourself. ```json { "deltaMode": true, "sortBy": "recent", "maxItems": 0 } ``` #### Advanced tag filtering ```json { "tagFilters": ["founders-solo", "funding-bootstrapped", "revenue-model-subscription"], "minRevenue": 500, "maxItems": 300 } ``` ### Monitoring new launches - **`createdAfter`** — pass a date (`YYYY-MM-DD` or ISO) to get only products added after it. - **`deltaMode`** — turn the scraper into a stateful monitor. It remembers the newest product it has seen (in a private key-value store on **your** account) and on each run returns only what's new since last time. Pair it with an Apify **schedule** + **webhook** to get notified of every new IndieHackers launch automatically. The first run establishes the baseline (and respects `maxItems`); set `maxItems: 0` afterwards to never miss one. ### Sort modes - **`recent`** (default) — newest products first. This mode can window through the **entire catalog** (set `maxItems: 0` for no limit). - **`revenue`** — highest reported monthly revenue first. Best for finding profitable businesses. Combine with `maxRevenue` to skip spam (see note). ### ⚠️ Note on revenue Revenue is **self-reported by founders and not verified** by IndieHackers. A small number of entries contain joke or spam values (e.g. billions per month). Use `maxRevenue` to cap them out when sorting by revenue, e.g. `"maxRevenue": 1000000`. ### Filtering reference Common values you can pass to `verticals` (OR) or `tagFilters` (AND): - **verticals**: `ai`, `saas`, `finance`, `productivity`, `b2c`, `marketing`, `ecommerce`, `developer-tools`, `social-media`, `analytics`, `content`, `writing`, `real-estate`, `health` - **funding**: `funding-bootstrapped`, `funding-self`, `funding-venture` - **platform**: `platform-web`, `platform-ios`, `platform-android`, `platform-desktop`, `platform-mac`, `platform-pc` - **revenue model**: `revenue-model-subscription`, `revenue-model-advertising`, `revenue-model-partnerships`, `revenue-model-free` - **team**: `founders-solo`, `employees-0`, `employees-under-10`, `commitment-side-project`, `commitment-full-time` ### Pricing Pay-per-result: **$0.003 per product extracted**. A 100-product run costs $0.30; the full catalog (~31k) costs ~$94. ### How it works The actor queries IndieHackers' public product search index directly — no browser, no proxy, fast and reliable. It transparently windows past API pagination limits so you can extract large result sets in `recent` mode. # Actor input Schema ## `searchQuery` (type: `string`): Full-text search over product name, tagline and description. Leave empty to browse all products. ## `sortBy` (type: `string`): recent = newest products first (lets you extract the full catalog). revenue = highest monthly revenue first (best for finding profitable businesses). ## `minRevenue` (type: `integer`): Only return products reporting at least this much monthly revenue. 0 = no filter (includes products with no revenue reported). ## `maxRevenue` (type: `integer`): Exclude products reporting more than this monthly revenue. Useful with sort=revenue to skip spam/joke entries (revenue is self-reported and unverified). 0 = no cap. ## `verticals` (type: `array`): Only return products tagged with at least one of these verticals (OR). Examples: ai, saas, finance, productivity, b2c, marketing, ecommerce, developer-tools. ## `tagFilters` (type: `array`): Raw IndieHackers tags (AND across entries). Examples: founders-solo, funding-bootstrapped, platform-web, revenue-model-subscription, employees-under-10. ## `createdAfter` (type: `string`): Only return products added to IndieHackers after this date. Accepts YYYY-MM-DD or an ISO datetime. Great for catching new launches since a given day. Leave empty for no date filter. ## `deltaMode` (type: `boolean`): Run as a recurring monitor: remembers the newest product seen and on each run only returns products launched since the previous run. Ideal on a schedule + webhook. First run sets the baseline (respects Max products). Overrides 'Only products created after'. ## `maxItems` (type: `integer`): Maximum number of products to extract. 0 = no limit (full result set). ## `delayMs` (type: `integer`): Milliseconds to wait between API pages. Increase if you hit rate limits. ## Actor input object example ```json { "searchQuery": "ai notetaker", "sortBy": "recent", "minRevenue": 0, "maxRevenue": 0, "createdAfter": "2026-05-01", "deltaMode": false, "maxItems": 100, "delayMs": 200 } ``` # 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("obsidian937/indiehackers-product-scraper").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("obsidian937/indiehackers-product-scraper").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 obsidian937/indiehackers-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=obsidian937/indiehackers-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IndieHackers Product Scraper", "description": "Extract IndieHackers products: name, tagline, description, website, monthly revenue, followers, verticals, funding and platform tags. No proxy needed. Browse the full catalog, search by keyword, or filter by revenue and vertical.", "version": "1.0", "x-build-id": "jRHgiqrr7N3uHx9qv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/obsidian937~indiehackers-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-obsidian937-indiehackers-product-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/obsidian937~indiehackers-product-scraper/runs": { "post": { "operationId": "runs-sync-obsidian937-indiehackers-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/obsidian937~indiehackers-product-scraper/run-sync": { "post": { "operationId": "run-sync-obsidian937-indiehackers-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search query", "type": "string", "description": "Full-text search over product name, tagline and description. Leave empty to browse all products." }, "sortBy": { "title": "Sort order", "enum": [ "recent", "revenue" ], "type": "string", "description": "recent = newest products first (lets you extract the full catalog). revenue = highest monthly revenue first (best for finding profitable businesses).", "default": "recent" }, "minRevenue": { "title": "Minimum monthly revenue (USD)", "minimum": 0, "type": "integer", "description": "Only return products reporting at least this much monthly revenue. 0 = no filter (includes products with no revenue reported).", "default": 0 }, "maxRevenue": { "title": "Maximum monthly revenue (USD)", "minimum": 0, "type": "integer", "description": "Exclude products reporting more than this monthly revenue. Useful with sort=revenue to skip spam/joke entries (revenue is self-reported and unverified). 0 = no cap.", "default": 0 }, "verticals": { "title": "Filter by verticals", "type": "array", "description": "Only return products tagged with at least one of these verticals (OR). Examples: ai, saas, finance, productivity, b2c, marketing, ecommerce, developer-tools.", "items": { "type": "string" } }, "tagFilters": { "title": "Advanced tag filters", "type": "array", "description": "Raw IndieHackers tags (AND across entries). Examples: founders-solo, funding-bootstrapped, platform-web, revenue-model-subscription, employees-under-10.", "items": { "type": "string" } }, "createdAfter": { "title": "Only products created after", "type": "string", "description": "Only return products added to IndieHackers after this date. Accepts YYYY-MM-DD or an ISO datetime. Great for catching new launches since a given day. Leave empty for no date filter." }, "deltaMode": { "title": "Delta mode (monitor new launches)", "type": "boolean", "description": "Run as a recurring monitor: remembers the newest product seen and on each run only returns products launched since the previous run. Ideal on a schedule + webhook. First run sets the baseline (respects Max products). Overrides 'Only products created after'.", "default": false }, "maxItems": { "title": "Max products to scrape", "minimum": 0, "type": "integer", "description": "Maximum number of products to extract. 0 = no limit (full result set).", "default": 100 }, "delayMs": { "title": "Delay between requests (ms)", "minimum": 0, "type": "integer", "description": "Milliseconds to wait between API pages. Increase if you hit rate limits.", "default": 200 } } }, "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 } } } } } } } } } } ```