# Snapchat Email Scraper (`solid-scraper/snapchat-email-scraper`) Actor 🔍 Snapchat Email Scraper extracts verified email addresses from Snapchat profiles and public data. ⚡ Speed up lead generation for sales, agencies & marketers with targeted, SEO-ready contact lists. 📩 Try it to find prospects faster! - **URL**: https://apify.com/solid-scraper/snapchat-email-scraper.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 1 total users, 0 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Snapchat Email Scraper 📬 **Snapchat Email Scraper** is an Apify actor that helps you extract email addresses mentioned in Snapchat bios and posts using your own **keywords** and **email-domain filters**. It’s designed for marketers and researchers who need a scalable **Snapchat email extractor** / **Snapchat email scraper tool** to build outreach-ready contact lists without manual copy-pasting. Whether you’re using it for **Snapchat lead generation email scraper** workflows, **Snapchat contact email finder** research, or **Snapchat marketing email scraper** prospecting, this tool automates the process of collecting emails from publicly available sources—saving you hours of manual work. --- ### Why choose Snapchat Email Scraper? | Feature | Benefit | | --- | --- | | ✅ **All-in-one email scraping** | Extracts emails from Snapchat bios and posts related to your keywords in one run | | ✅ **Keyword + custom domain targeting** | Filters results to focus on specific inboxes (for example, `@gmail.com`) | | ✅ **Proxy support + reliability options** | Improves success when pages are slow, blocked, or inconsistent | | ✅ **Retries and fallbacks for resilience** | Handles empty/blocked pages to reduce failed runs and improve coverage | | ✅ **Structured JSON dataset output** | Produces consistent fields you can export to your CRM, sheets, or pipelines | | ✅ **Scales with run settings** | Lets you control how many emails to collect via a maximum limit | --- ### Key features - 🔍 **Accurate email extraction from Snapchat content**: Pulls emails that appear in Snapchat bios and posts that match your keywords - 🧠 **Keyword-driven targeting**: Uses your provided keyword list to guide what to collect (great for “how to scrape Snapchat emails” use cases) - 🎯 **Custom email-domain filtering**: Limits results to the domains you specify in `customDomains` - 🛡️ **Built-in reliability logic**: Includes logic to cope with empty pages and blocked requests so the run keeps working - 🔄 **Stop conditions for cost control**: Respects `maxEmails` so the actor stops once it reaches your collection goal - 📊 **Structured dataset records**: Each found email is pushed as a row with clear context (title, description, url, keyword) - 💾 **Progress persistence during long runs**: Tracks progress (cursor and seen emails) so you can resume without redoing everything - 🌐 **Proxy configuration support**: Works with your `proxyConfiguration` to improve scraping stability at scale --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["founder", "marketing"], "location": "", "platform": "Snapchat", "customDomains": ["@gmail.com"], "maxEmails": 20, "engine": "legacy", "proxyConfiguration": {} } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `keywords` | Yes | A list of keywords to search for. The scraper uses these to find relevant Snapchat bios and posts where emails may be present. | | `location` | No | Location to filter search results. Leave empty if you don’t want location filtering. | | `platform` | No | Select platform. The only supported value is `Snapchat` (defaults to `Snapchat`). | | `customDomains` | No | List of custom email domains to target (for example, `@gmail.com`). Used to filter which emails are accepted. | | `maxEmails` | No | Maximum number of emails to collect. The scraper stops once this limit is reached. Higher limits may take longer and don’t guarantee finding that many emails. | | `engine` | No | Choose the scraping engine. `cost-effective` is described as using residential proxies with async requests, while `legacy` is described as using a different proxy approach and traditional selectors. | | `proxyConfiguration` | No | Configure proxies for this Actor. Use this if you want control over how requests are routed for reliability. | *** ### Output The actor pushes each found email as a dataset row in JSON format. ```json { "network": "Snapchat.com", "keyword": "founder", "title": "Example result title", "description": "Example result description text containing an email address", "url": "https://example.com/page", "email": "person@example.com", "proxyGroups": [ "example-proxy-setting" ] } ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `network` | string | The source network label used in the output (`Snapchat.com`). | | `keyword` | string | The keyword currently driving the search context. | | `title` | string | Title text associated with the found result. | | `description` | string | Description text where the actor extracted the email. | | `url` | string | URL associated with the found result. | | `email` | string | The extracted email address. | | `proxyGroups` | array | Proxy configuration information associated with the run’s scraping setup. | > Note: The actor also persists internal progress (cursor and `seen_emails`) in a key-value store during execution, but the dataset rows above are what you’ll export and analyze. *** ### How to use Snapchat Email Scraper (via Apify Console) 1. **Open Apify Console**\ Go to [console.apify.com](https://console.apify.com) and sign in. 2. **Find the actor**\ Search for **Snapchat Email Scraper** and open its actor page. 3. **Add your keywords**\ In the **INPUT** tab, set `keywords` to a list like `["founder", "marketing"]` based on your outreach goals. 4. **Choose your domain filters (recommended)**\ Set `customDomains` to domains you care about (for example, `["@gmail.com"]`) so you collect only inboxes that fit your targeting. 5. **Set collection limits**\ Adjust `maxEmails` to control how many unique emails you want to collect for this run (the actor stops when the limit is reached). 6. **Configure reliability settings**\ If you have requirements for routing, use `proxyConfiguration`. You can also select `engine` (`cost-effective` or `legacy`) depending on what you prioritize (speed/cost vs reliability). 7. **Run the actor**\ Click **Run**. Watch the logs during execution—if results are sparse or blocked, the actor uses retries and fallbacks to improve outcomes. 8. **Export your dataset**\ When finished, open the **OUTPUT** tab / dataset in Apify Console and export the results to JSON/CSV for your CRM, spreadsheets, or analysis. No coding required—get accurate results in minutes with this **Snapchat email scraper tool**. *** ### Advanced features & SEO optimization - 🔍 **Engineered for “Snapchat Email Scraper” lead generation**: Built to excel at collecting email contacts from Snapchat bios and posts based on your keyword and domain filters. - 🧾 **Progress persistence for long searches**: Stores cursor state and seen emails so you don’t lose work mid-run. - 🧰 **Resilient scraping flow**: Includes retries and fallback behavior when pages return empty or fail to load reliably. - ⏱️ **Scalable execution with practical stop controls**: Use `maxEmails` to cap runtime and costs while searching for **Snapchat email harvesting software** style outputs. *** ### Best use cases - 📈 **B2B marketer lead lists**: Build a **Snapchat user email lookup** pipeline by collecting emails only from the domains you care about - 🎓 **Recruiting and talent sourcing**: Find contact emails from Snapchat content creators or professionals for outreach - 🧠 **Competitive research**: Analyze how teams present contact info in Snapchat bios and posts for better messaging and positioning - ✉️ **Cold outreach campaigns**: Generate a **Snapchat email list builder** dataset to power sequences in your outreach stack - 🗂️ **CRM enrichment**: Export structured JSON rows and enrich contacts in your CRM with keyword and source context - 🔬 **Data analyst workflows**: Study email-domain patterns and keyword relevance using consistent output fields - 🏷️ **Brand partnerships and influencer outreach**: Collect emails aligned with niche keywords to speed up partnership discovery *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array (required) - ✅ `customDomains` as an array (optional) - ✅ `location`, `platform`, `maxEmails`, `engine`, `proxyConfiguration` (optional) - **Proxy Support** - ✅ Yes, via `proxyConfiguration` - ✅ Engine choice: `cost-effective` or `legacy` (both supported by the actor) - **Retry Mechanism** - ✅ Yes—includes retries and fallback logic for blocked/empty results - **Dataset Structure** - ✅ JSON rows pushed to the dataset via `Actor.push_data(row)` - ✅ Each row includes `network`, `keyword`, `title`, `description`, `url`, `email`, `proxyGroups` - **Rate Limits & Performance** - ✅ Large searches or high `maxEmails` may take longer (timeout can be increased via **Run Options** if needed) - **Limitations** - ❌ Emails are only extracted when they appear in the publicly available content the actor targets - ❌ The actor does not guarantee it will reach `maxEmails`; it stops when it finds enough emails or the run ends *** ### FAQ #### Is Snapchat Email Scraper a Snapchat extension? ❌ No. **Snapchat Email Scraper** is an Apify actor you run in Apify Console (or via API workflows), not a browser extension. #### Where does Snapchat Email Scraper find emails? ✅ It finds emails from Snapchat bios and posts related to your provided `keywords`, and it filters results using your `customDomains`. #### How do I improve results if the email count is low? ✅ Try re-running with broader or more relevant keywords, and add more domains to `customDomains` to widen the match scope. #### Can I control how many emails the actor collects? ✅ Yes. Set `maxEmails` to a number between 1 and 10000. The actor stops once the limit is reached. #### Does Snapchat Email Scraper require login? ✅ The actor works by scraping publicly available sources; no authenticated Snapchat login inputs are part of the provided actor schema. #### Can I use residential proxies or custom proxy settings? ✅ Yes. Use `proxyConfiguration` for proxy setup, and you can select `engine` as either `cost-effective` or `legacy` based on your preference. #### Is the output ready for exporting to a CRM? ✅ Yes. Results are pushed as dataset rows with fields like `email`, `keyword`, `url`, `title`, and `description`, making it straightforward to export to JSON or CSV. #### Is it legal to use this for lead generation? ✅ The actor collects information only from publicly accessible sources. You are responsible for complying with applicable laws and platform policies (including GDPR/CCPA considerations where relevant). *** ### Support & feature requests If you’re using **Snapchat Email Scraper** for outreach or research and want help, improvements, or custom enhancements, share your feedback. - 💡 **Feature Requests**: For example, CSV export formatting options, additional filtering controls, or new output fields for workflow needs - 📧 **Contact**: Reach out at Your feedback helps shape the roadmap for **Snapchat email extractor** quality and usability. *** ### Final thoughts *If you need a **Snapchat Email Scraper** that turns keyword targeting into structured email outputs at scale, this actor is built for exactly that.*\ *It’s SEO-optimized, practical to run, and designed to help you collect Snapchat email contacts faster than manual work.* *** ### Disclaimer **This actor accesses publicly accessible sources only**. It does not access private profiles, authenticated data, or password-protected pages. You are responsible for complying with applicable laws and regulations (including GDPR/CCPA where relevant) and for respecting platform terms, privacy rules, and spam regulations. For any data removal requests, contact . Use this **Snapchat Email Scraper** responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `keywords` (type: `array`): A list of keywords to search for. ## `location` (type: `string`): Location to filter search results. ## `platform` (type: `string`): Select platform. ## `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. ## `engine` (type: `string`): Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive. ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor. ## Actor input object example ```json { "keywords": [ "founder", "marketing" ], "location": "", "platform": "Snapchat", "customDomains": [ "@gmail.com" ], "maxEmails": 20, "engine": "legacy" } ``` # 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": [ "founder", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/snapchat-email-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 = { "keywords": [ "founder", "marketing", ], "location": "", "customDomains": ["@gmail.com"], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/snapchat-email-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 '{ "keywords": [ "founder", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }' | apify call solid-scraper/snapchat-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/snapchat-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Snapchat Email Scraper", "description": "🔍 Snapchat Email Scraper extracts verified email addresses from Snapchat profiles and public data. ⚡ Speed up lead generation for sales, agencies & marketers with targeted, SEO-ready contact lists. 📩 Try it to find prospects faster!", "version": "0.0", "x-build-id": "6hfwpb9tK3JlAOoc4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~snapchat-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-snapchat-email-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~snapchat-email-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-snapchat-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~snapchat-email-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-snapchat-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "A list of keywords to search for.", "default": [ "founder", "marketing" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "platform": { "title": "Platform", "enum": [ "Snapchat" ], "type": "string", "description": "Select platform.", "default": "Snapchat" }, "customDomains": { "title": "Custom Email Domains", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com" ], "items": { "type": "string" } }, "maxEmails": { "title": "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 }, "engine": { "title": "Engine", "enum": [ "cost-effective", "legacy" ], "type": "string", "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.", "default": "legacy" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxies for this Actor." } } }, "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 } } } } } } } } } } ```