# Bandcamp Email Scraper Fast Advanced And Cheapest (`solid-scraper/bandcamp-email-scraper-fast-advanced-and-cheapest`) Actor 📧 Bandcamp Email Scraper—Fast, Advanced & Cheapest! 🚀 Extract targeted Bandcamp contact emails for marketing outreach, lead gen, and sales. ✅ Get accurate leads quickly with powerful filters—perfect for agencies and growth teams. 🔥 - **URL**: https://apify.com/solid-scraper/bandcamp-email-scraper-fast-advanced-and-cheapest.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### Bandcamp Email Scraper - Fast, Advanced and Cheapest 📬 **Bandcamp Email Scraper - Fast, Advanced and Cheapest** helps you extract email addresses from Bandcamp using the keywords and email-domain filters you choose—so you can build cleaner lead lists without manually hunting across the web. Whether you’re running a **Bandcamp email scraper** for outreach, a **Bandcamp contact email extractor** for B2B prospecting, or a data analyst assembling a **Bandcamp artist email finder** dataset, this actor automates the workflow by scraping publicly available data and collecting matches at scale. In short: it’s a practical way to **scrape Bandcamp emails** and move faster from research to action. --- ### Why choose Bandcamp Email Scraper - Fast, Advanced and Cheapest? | Feature | Benefit | | --- | --- | | ✅ **Keyword-based email discovery** | Lets you target the right Bandcamp-related leads using your own keywords | | ✅ **Custom email-domain filters** | Focuses results on the email domains that match your outreach strategy (e.g. `@gmail.com`) | | ✅ **Structured dataset output** | Writes each lead record into a dataset with consistent fields (`keyword`, `title`, `url`, `email`) | | ✅ **Incremental saving** 💾 | Pushes results as it finds them so you don’t lose progress during long runs | | ✅ **Resilience with retries and fallbacks** 🛡️ | Includes handling for empty or blocked result pages to improve run stability | | ✅ **Scales across many keyword/domain pairs** 🌐 | Iterates through your combinations and stops when your email limit is reached | --- ### Key features - ✅ **Accurate email extraction**: Extracts email addresses from scraped text content based on your selected domains - 🔎 **Flexible targeting inputs**: Uses your `keywords`, optional `location`, and `customDomains` to refine results for a **Bandcamp contact email extractor** workflow - 🛡️ **Resilient execution**: Includes logic to handle empty and blocked pages so runs are more reliable for automated **Bandcamp email harvesting software** use cases - 🔄 **Progress persistence**: Saves progress (including `seen_emails` and cursor state) while scraping so interruptions can resume cleanly - 📊 **Clean lead rows**: Each found match is pushed with the fields you need for downstream **Bandcamp mailing list builder** work (`network`, `keyword`, `title`, `description`, `url`, `email`) - 💾 **Dataset-first workflow**: Results are delivered into the actor dataset format for easy export to JSON/CSV - ⚙️ **Max limit to control runtime**: Stops when `maxEmails` is reached (helpful for cost control and predictable **fast Bandcamp email scraper** runs) --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["manager", "founder"], "location": "", "customDomains": ["@gmail.com", "@yahoo.com"], "maxEmails": 20 } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `keywords` | ✅ Yes | A list of keywords used to find relevant Bandcamp leads. These drive which contacts the actor tries to collect emails for. | | `location` | ❌ No | Optional location filter used to narrow results. Leave empty for no location filtering. | | `customDomains` | ❌ No | Email domains the actor will match and extract (example format: `@gmail.com`, `@yahoo.com`). Using the domains you care about typically improves results. | | `maxEmails` | ❌ No | Maximum number of emails to collect. The run stops once this number is reached. Higher values can take longer and don’t guarantee you’ll reach the target. | *** ### Output The actor saves scraped results incrementally in the dataset as JSON rows. Example output row: ```json { "network": "Bandcamp.com", "keyword": "manager", "title": "No title", "description": "No data", "url": "No URL", "email": "example@gmail.com" } ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `network` | string | The network/source label for the lead record (`Bandcamp.com`). | | `keyword` | string | The keyword used for this lead discovery run. | | `title` | string | The title extracted from the result item (falls back to `"No title"`). | | `description` | string | The text content from the result description area (can be `"No data"` if missing). | | `url` | string | The URL associated with the result item (falls back to `"No URL"`). | | `email` | string | The extracted email address for the lead. | *** ### How to use Bandcamp Email Scraper - Fast, Advanced and Cheapest (via Apify Console) 1. **Open Apify Console**\ Log in at https://console.apify.com and open the Actors page. 2. **Find the actor**\ Search for **Bandcamp Email Scraper - Fast, Advanced and Cheapest** and open the actor details. 3. **Go to the INPUT section**\ Use the built-in input form to set: `keywords`, optionally `location`, `customDomains`, and `maxEmails`. 4. **Set your email targeting** 🎯\ Enter the email domains you want (like `@gmail.com`), because **Bandcamp contact email extractor** results are domain-driven. 5. **Choose your email cap** 📊\ Set `maxEmails` to control how many unique emails the actor will collect before it stops. 6. **Click Run** 🚀\ During the run, watch the logs to see progress and when the actor reaches your limit or stops due to low yield. 7. **Check the dataset** 💾\ After completion, open the output dataset (Scraped Leads / “Scraped Leads” view) and export the results (JSON/CSV supported by Apify exports). No coding required—get accurate results in minutes with this **Bandcamp email scraper API**-friendly dataset format. *** ### Advanced features & SEO optimization - 🧭 **Resume-friendly long runs**: The actor persists progress using a cursor and previously seen emails, so you can continue where you left off—ideal for **automated Bandcamp email scraping** at scale. - 📩 **Domain-optimized extraction**: Using `customDomains` improves focus for **Bandcamp artist email finder** and **Bandcamp leads email tool** workflows. - 📋 **Incremental dataset pushing**: Results are pushed as they’re found, which is useful for monitoring quality early instead of waiting for the entire run. - 🧰 **Built-in resilience**: Includes retries/fallback behavior for empty or blocked result pages, helping **advanced Bandcamp email scraper** runs stay productive. - ⏱️ **Runtime control**: `maxEmails` is designed to help manage scraping time and cost by stopping after reaching your target. *** ### Best use cases - 📈 **Marketing teams building outreach lists**: Collect Bandcamp emails fast to support campaigns and newsletter targeting for artists and labels. - 🎓 **Market researchers mapping contact channels**: Build a dataset of Bandcamp leads (with `keyword`, `title`, `url`, and `email`) to analyze outreach patterns. - 💼 **Recruiters and partnerships leads**: Use **Bandcamp email harvesting software** logic to find contact emails tied to relevant roles or business descriptions. - 🧩 **CRM and pipeline automation**: Feed the dataset into lead workflows (e.g., enrichment steps after export) using the consistent dataset fields. - 🧾 **Data analysts doing contact coverage audits**: Compare keyword/domain combinations by measuring how many unique emails you collect before hitting `maxEmails`. - 🔁 **Cold email sequence builders**: Use **Bandcamp email extraction tool** outputs to draft targeted sequences with domain-aligned contact lists. - ⚙️ **Developers integrating scraping into systems**: Export results and connect them to downstream automation—useful for a **Bandcamp email scraper API**-style pipeline. *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array of strings - ✅ `location` as a string (optional) - ✅ `customDomains` as an array of domains (e.g. `@gmail.com`) - ✅ `maxEmails` as an integer (1–10000) - **Proxy Support** - ✅ Uses built-in proxy support for more reliable scraping during runs - **Retry Mechanism** - ✅ Includes retry/fallback logic for empty/blocked result pages to improve resilience - **Dataset Structure** - ✅ Dataset name: **Bandcamp Emails Dataset** - ✅ View: **Scraped Leads** - ✅ Dataset fields (pushed per lead): `network`, `keyword`, `title`, `description`, `url`, `email` - **Rate Limits & Performance** - ⚠️ Performance varies depending on how many results are available and how high you set `maxEmails` (higher limits can take longer) - **Limitations** - ❌ Results are limited by availability and the run stops when your `maxEmails` cap is reached - ❌ If there are fewer matching emails than your target, you may collect fewer than `maxEmails` *** ### FAQ #### Will this Bandcamp email scraper find any emails on Bandcamp? ✅ Yes—**Bandcamp Email Scraper - Fast, Advanced and Cheapest** extracts email addresses from scraped publicly available content and only keeps matches that fit your `customDomains` filters. #### What email domains should I use for best results? ✅ Start with the domains you actually want to contact (for example `@gmail.com` or `@yahoo.com`) in `customDomains`. The actor uses these domains to decide which emails to extract, which is why domain targeting often improves result quality for a **Bandcamp email extraction tool** workflow. #### Can I resume if my run is interrupted? ✅ Yes. The actor persists progress (including `seen_emails` and a cursor) and resumes from the saved state, which helps for larger **automated Bandcamp email scraping** batches. #### Is there a limit on how many emails I can collect? ✅ Yes—use `maxEmails` to set the maximum number of emails the actor will collect. Also note that free users have a maximum cap applied by the actor logic (the actor applies a free-tier cap of **100 emails maximum**). #### Can I filter by location? ✅ Yes. You can provide `location` as a string. If you leave it empty, the actor runs without a location filter. #### What does the dataset include for each lead? ✅ Each pushed lead row includes `network`, `keyword`, `title`, `description`, `url`, and `email`. This makes it straightforward to export and build a **Bandcamp mailing list builder** dataset. #### Is this actor meant for production outreach at scale? ✅ It’s designed to help you assemble lead lists from publicly available sources. You should still validate and use the data responsibly and in compliance with applicable laws and platform rules. #### How do I request data removal? If you need data removal, contact ****. *** ### Support & feature requests Want to improve your **Bandcamp Email Scraper - Fast, Advanced and Cheapest** workflow? Share feedback via the email below: - 💡 **Feature Requests**: Examples include CSV export customization, adding additional output fields, or supporting more input filtering options for **Bandcamp artist email finder** use cases. - 📧 **Contact**: Email Your feedback directly helps shape the roadmap for this **Bandcamp email scraper**. *** ### Disclaimer **This tool accesses publicly accessible sources only**. It does not access private profiles, authenticated data, or password-protected content. Data protection, privacy laws (including GDPR and CCPA), spam regulations, and platform terms compliance are your responsibility. For any data removal requests, contact ****. Use **Bandcamp Email Scraper - Fast, Advanced and Cheapest** responsibly, ethically, and for legitimate purposes only. *Get the most comprehensive, SEO-optimized Bandcamp Email Scraper - Fast, Advanced and Cheapest results—built for fast lead discovery at scale.* # Actor input Schema ## `keywords` (type: `array`): A list of keywords or queries to search for. ## `location` (type: `string`): Location to filter search results. ## `customDomains` (type: `array`): List of custom email domains ## `maxEmails` (type: `integer`): Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time. ## Actor input object example ```json { "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "maxEmails": 20 } ``` # 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 = { "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/bandcamp-email-scraper-fast-advanced-and-cheapest").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 = { "keywords": [ "manager", "founder", ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com", ], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/bandcamp-email-scraper-fast-advanced-and-cheapest").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 '{ "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }' | apify call solid-scraper/bandcamp-email-scraper-fast-advanced-and-cheapest --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/bandcamp-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bandcamp Email Scraper Fast Advanced And Cheapest", "description": "📧 Bandcamp Email Scraper—Fast, Advanced & Cheapest! 🚀 Extract targeted Bandcamp contact emails for marketing outreach, lead gen, and sales. ✅ Get accurate leads quickly with powerful filters—perfect for agencies and growth teams. 🔥", "version": "1.0", "x-build-id": "tL4UzTXqCn4dL373r" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~bandcamp-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-bandcamp-email-scraper-fast-advanced-and-cheapest", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~bandcamp-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-solid-scraper-bandcamp-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~bandcamp-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-solid-scraper-bandcamp-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords or Queries", "type": "array", "description": "A list of keywords or queries to search for.", "default": [ "manager", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "customDomains": { "title": "Enter Custom Email Domains (e.g. @gmail.com, @yahoo.com)", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com", "@yahoo.com" ], "items": { "type": "string" } }, "maxEmails": { "title": "Enter Max Emails", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.", "default": 20 } } }, "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 } } } } } } } } } } ```