# Canva Email Scraper Fast Advanced And Cheapest (`solid-scraper/canva-email-scraper-fast-advanced-and-cheapest`) Actor 🚀 Find targeted leads fast with Canva Email Scraper—Advanced & cost-effective. Extract email addresses by keywords and filters to power sales, outreach, and growth campaigns with accuracy. 📧 - **URL**: https://apify.com/solid-scraper/canva-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 ### Canva Email Scraper - Fast, Advanced and Cheapest 📬 **Canva Email Scraper - Fast, Advanced and Cheapest** helps you extract email addresses from Canva using the **keywords and email-domain filters** you choose. Whether you’re building an email list for outreach, doing B2B lead generation, or enriching records for research, this Canva email scraper tool finds publicly available contacts and turns them into a structured dataset—saving you hours of manual work. --- ### Why choose Canva Email Scraper - Fast, Advanced and Cheapest? | Feature | Benefit | | --- | --- | | ✅ **All-in-one Canva email extraction** | Extracts emails from Canva using your chosen keywords and domains in a single run | | ✅ **Advanced filtering with custom domains** | Uses your specified email domains (like `@gmail.com`) to focus results on what you need | | ✅ **Reliability with resilience controls** | Includes progress saving, resume support, and built-in stopping logic for stability | | ✅ **Structured output for easy reuse** | Pushes consistently structured records into the **Canva Emails Dataset** | | ✅ **Scales across keyword and domain combinations** | Iterates through your provided keywords and domains to broaden coverage | | ✅ **Cost-aware limit handling** | Lets you cap `maxEmails` to control scraping time and cost | --- ### Key features - 🔎 **Targeted Canva email extractor**: Uses your `keywords` to find relevant leads and extract matching emails from publicly available sources - 🎯 **Email-domain focused results**: Lets you specify `customDomains` (e.g. `@gmail.com`, `@yahoo.com`) to increase relevance for outreach - 🛡️ **Resume-friendly scraping**: Saves progress as it runs, so you can continue without losing already found emails - 🔄 **Deduplication built in**: Tracks `seen_emails` to avoid pushing duplicate email addresses across the run - 💾 **Incremental dataset saving**: Pushes each found contact immediately to the dataset as structured rows - 📊 **Clear lead records for analysis**: Outputs `keyword`, `title`, `description`, `url`, and `email` for each found lead - ⏳ **Controlled stopping logic**: Stops when your `maxEmails` limit is reached or when further pages produce no new emails - 🌍 **Optional location filter**: Add `location` if you want results filtered by a specific place --- ### 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 to use for finding relevant Canva leads and extracting matching email addresses. | | `location` | No | Optional location text to filter results (leave empty for no location filtering). | | `customDomains` | No | A list of email domains to focus extraction on (example: `@gmail.com`, `@yahoo.com`). | | `maxEmails` | No | Maximum number of **unique** emails to collect. The scraper stops once this limit is reached (helps control time and cost). | *** ### Output The actor saves each found contact’s data into the **Canva Emails Dataset** in JSON format. Example dataset rows pushed by the actor: ```json [ { "network": "Canva.com", "keyword": "manager", "title": "No title", "description": "No data", "url": "No URL", "email": "example@gmail.com" } ] ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `network` | string | Indicates the source network (always `Canva.com`). | | `keyword` | string | The keyword currently being used for extraction. | | `title` | string | The title text associated with the found entry (if available). | | `description` | string | The extracted text description associated with the found entry. | | `url` | string | The URL associated with the found entry. | | `email` | string | The extracted email address. | **Note:** The dataset view is configured to show `keyword`, `title`, `description`, `url`, and `email`. *** ### How to use Canva Email Scraper - Fast, Advanced and Cheapest (via Apify Console) 1. **Open Apify Console**\ Sign in at [console.apify.com](https://console.apify.com) and go to the **Actors** section. 2. **Find this actor**\ Search for **Canva Email Scraper - Fast, Advanced and Cheapest** and open the actor page. 3. **Go to the Input section**\ Click **INPUT** and use the built-in form or paste your `input.json`. 4. **Set your keywords**\ Add the job titles or phrases you want to search for in the `keywords` list (this is required). 5. **Optional: narrow by location**\ Fill `location` only if you want location-filtered results. Leave it empty for broader extraction. 6. **Optional: set custom email domains**\ In `customDomains`, provide domains like `@gmail.com` or `@yahoo.com` to improve lead relevance for your outreach. 7. **Optional: cap your results**\ Set `maxEmails` to control how many unique emails the run should collect. If you don’t set it, the default is `20`. 8. **Run the actor and monitor progress**\ During the run, you’ll see logs about progress, and it will stop once it reaches the email limit or when no new emails are found. 9. **Open the dataset and export**\ After completion, open the **Canva Emails Dataset** and export your data (for example as JSON/CSV depending on your Apify workflow). No coding required—get accurate results in minutes with this Canva email scraper tool. 🚀 *** ### Advanced features & SEO optimization - ⚡ **Engineered for “Canva email extractor” results**: Uses your keyword and email-domain filters together to improve relevance (great for “extract emails from Canva” use cases) - 🔄 **Smart stopping behavior**: Uses built-in logic to stop when it’s not getting new emails, helping keep runs efficient - 🔎 **Input normalization for keywords**: Accepts `keywords` as a list; the actor ensures a usable keyword structure before running - 💾 **Resume support for long runs**: Saves progress and already found emails so you can continue without starting over - 🧾 **Structured records for analytics**: Outputs consistent fields (`keyword`, `title`, `description`, `url`, `email`) for bulk analysis and CRM enrichment *** ### Best use cases - 📈 **Lead generation email scraper for Canva**: Build a targeted prospect list by searching relevant keywords and restricting to email domains that match your outreach strategy - 🧠 **Market research contact email finder**: Gather public contact emails for personas, roles, or niches to support segmentation and insight gathering - ✉️ **B2B email scraper software for outreach campaigns**: Produce a clean dataset of emails with associated `keyword` context for better campaign targeting - 🧑‍💻 **Data analyst enrichment pipeline**: Join scraped email records to your internal data using `url` and the originating `keyword` - 🗂️ **Bulk email extraction tool for CRM imports**: Export and import structured lead rows into your CRM while keeping `email` and source `url` together - 🏢 **Accurate email harvesting tool for company directories**: Focus on likely-contact roles (like “manager” or “founder”) and validate by extracting email addresses from publicly available sources - 🌍 **Regional lead discovery (with location filter)**: Use `location` to tailor extraction to a specific place when building region-focused email lists *** ### Technical specifications **Supported Input Formats** - ✅ `keywords`: array of strings (required) - ✅ `location`: string (optional) - ✅ `customDomains`: array of strings (optional) - ✅ `maxEmails`: integer (optional, min `1`, max `10000`) **Proxy Support** - ✅ Built-in proxy support for reliable scraping (details depend on your Apify run environment) **Retry Mechanism** - ✅ Includes resilience controls (progress saving, stopping conditions, and fallback attempts) for stability **Dataset Structure** - ✅ Dataset title: **Canva Emails Dataset** - ✅ Default dataset view name: **Scraped Leads** - ✅ Pushed record fields: `network`, `keyword`, `title`, `description`, `url`, `email` **Rate Limits & Performance** - ✅ Designed to run with controlled delays and stopping logic for efficiency - ✅ Output is pushed incrementally as results are found **Limitations** - ❌ No guarantee of finding emails for every keyword/domain pair - ❌ Results depend on what email addresses are publicly present in the sources being processed *** ### FAQ #### ✅ Does Canva Email Scraper - Fast, Advanced and Cheapest require a login? No. It extracts email addresses from **publicly available sources** based on your provided keywords and email-domain filters. It does not require a login to Canva. #### ✅ What email addresses does it extract? It extracts email addresses that match the email-domain filters you provide in `customDomains` and pushes them as the `email` field in the dataset. #### ✅ Can I limit how many emails I want? Yes. Use `maxEmails` to set the maximum number of **unique** emails to collect. The actor will stop when it reaches that limit. #### ✅ What happens if I run again? The actor includes progress saving and keeps track of `seen_emails`, so reruns can avoid duplicating emails already collected during the run context. #### ✅ What fields will I get in the dataset? Each dataset row includes `network`, `keyword`, `title`, `description`, `url`, and `email`. #### ❌ Does it extract private or hidden contact information? No. It only accesses **publicly accessible sources** and does not extract private or password-protected data. #### 💻 Can I use the output for CSV/CRM imports? Yes. The dataset is structured for easy export. You can export from Apify as needed and import into tools like CRMs or spreadsheets, using `email` and `url` as key identifiers. #### 📌 Is this tool compliant with data privacy rules? Use of extracted contact data must follow applicable laws and platform policies (for example GDPR/CCPA considerations and spam regulations). You are responsible for compliance in your use case. *** ### Support & feature requests If you’re using Canva Email Scraper - Fast, Advanced and Cheapest and want improvements, we’d love to hear from you. 💬 - 💡 **Feature Requests**: Want enhancements like additional filtering options or different output formatting? Share what would help your workflow the most. - 📧 **Contact**: Send us a message at . Your feedback helps shape the roadmap for this Canva email scraper tool. ✅ *** *If you’re looking for the most comprehensive Canva Email Scraper - Fast, Advanced and Cheapest experience, run it with smart keywords and targeted domains for faster, cleaner lead lists.* *** ### Disclaimer **This tool only accesses publicly accessible sources.** It does not access private profiles, authenticated data, or password-protected pages. It is the user’s responsibility to comply with applicable laws and regulations (including GDPR/CCPA where relevant), as well as spam regulations and the terms of service of the platforms involved. For any data removal requests, contact . Please use Canva Email Scraper - Fast, Advanced and Cheapest responsibly, ethically, and for legitimate purposes only. # 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/canva-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/canva-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/canva-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/canva-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Canva Email Scraper Fast Advanced And Cheapest", "description": "🚀 Find targeted leads fast with Canva Email Scraper—Advanced & cost-effective. Extract email addresses by keywords and filters to power sales, outreach, and growth campaigns with accuracy. 📧", "version": "1.0", "x-build-id": "g1WvMloNsFwCrRd0t" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~canva-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-canva-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~canva-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-solid-scraper-canva-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~canva-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-solid-scraper-canva-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```