# Instagram Email Scraper Fast Advanced And Cheapest (`solid-scraper/instagram-email-scraper-fast-advanced-and-cheapest`) Actor 🚀 Find targeted emails fast with Email Scraper Fast Advanced & Cheapest. Perfect for lead gen, sales teams & agencies—accurate results by country/keywords, built for speed and affordability. Get verified leads in minutes! 🔥 - **URL**: https://apify.com/solid-scraper/instagram-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 ### Instagram Email Scraper - Fast, Advanced and Cheapest 📬 **Instagram Email Scraper - Fast, Advanced and Cheapest** helps you extract email addresses from Instagram using the keywords and email-domain filters you choose. This **Instagram email scraper** automates the time-consuming work of building lead lists from public web data—so marketers, researchers, and analysts can move from “who should we contact?” to “here are the emails” at scale. Whether you're using an **Instagram contact email finder** for outreach, building an **Instagram lead generation email scraper** workflow, or doing **bulk Instagram email scraping** for research, this tool is designed to help you gather relevant emails faster—saving you hours of manual work. --- ### ✅ Why choose Instagram Email Scraper - Fast, Advanced and Cheapest? | Feature | Benefit | | --- | --- | | ✅ **Keyword-based Instagram email extraction** | Extracts emails from Instagram using your provided keywords/queries | | ✅ **Custom email domain filtering** | Focuses results by only collecting emails matching the domains you specify (e.g. `@gmail.com`) | | ✅ **Structured dataset output** | Pushes consistent lead rows into the **Instagram Emails Dataset** (keyword, title, description, url, email) | | ✅ **Reliability with resilience logic** | Includes retries and fallbacks for more stable runs when results are limited | | ✅ **Real-time incremental saving** | Pushes each discovered lead immediately so you don’t lose work on interruptions | | ✅ **Scales by controlling limits** | Uses `maxEmails` to stop once you reach your target volume and manage scraping time | --- ### 🔑 Key features - 📌 **Accurate email extraction:** Extracts email addresses from publicly available content using your selected email domains - 🧩 **Flexible targeting inputs:** Lets you provide multiple `keywords` plus an optional `location` filter for better relevance - 🎯 **Domain-first control:** Use `customDomains` (like `@gmail.com`, `@yahoo.com`) to guide what gets collected - 🛡️ **Resilient scraping behavior:** Includes retries and fallbacks when pages return limited results - 💾 **Real-time dataset pushing:** Every lead row is pushed incrementally into the dataset as it’s found - 🚦 **Cost-aware stopping:** Enforces `maxEmails` to control runtime (higher limits can take longer and don’t guarantee the exact number) - 🔄 **Resumable progress:** Saves progress so reruns can pick up from where the actor left off --- ### 📝 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 or queries to search for when looking for Instagram leads with emails. This is the main driver of results. | | `location` | No | Optional location text used to filter results. Leave it empty for broader coverage. | | `customDomains` | No | A list of email domains the scraper should extract (for example `@gmail.com`, `@yahoo.com`). Narrowing this can improve lead quality. | | `maxEmails` | No | The maximum number of emails to collect. The scraper stops once it reaches this limit. Higher values can take longer and don’t guarantee you’ll reach the exact target. | *** ### 📦 Output The actor saves each lead’s data in JSON format inside the **Instagram Emails Dataset**. Each matching result is pushed as a row with the fields shown below. #### Example JSON output row ```json { "network": "Instagram.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 used for the row (set to `Instagram.com`). | | `keyword` | string | The keyword used for this run/row. | | `title` | string | The title text captured alongside the result. | | `description` | string | The extracted descriptive text used to find the email. | | `url` | string | The URL associated with the result. | | `email` | string | The extracted email address found in the content. | > Note: The actor pushes data incrementally into the dataset as it finds new emails. *** ### 🚀 How to use Instagram 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 this actor**\ Search for **Instagram Email Scraper - Fast, Advanced and Cheapest** and open the actor page. 3. **Go to the Input section**\ Use the built-in form to enter your `keywords`, and optionally set `location`, `customDomains`, and `maxEmails`. 4. **Enter keywords to drive results**\ Add one or more roles/terms (for example “manager”, “founder”). This is required. 5. **Optional: narrow with location and email domains**\ If you want more targeted leads, set `location` and provide `customDomains` like `@gmail.com` or `@yahoo.com`. 6. **Set a max volume (recommended)**\ Use `maxEmails` to cap how many emails you want to collect. Remember: higher limits can take longer and don’t guarantee you’ll reach the exact number. 7. **Click Run**\ During execution, you’ll see progress in logs and the actor keeps pushing results incrementally as it discovers emails. 8. **Open the dataset and export**\ After the run, open the **Scraped Leads** view in the dataset and export in your preferred format (JSON/CSV supported by Apify’s dataset UI). No coding required—get accurate results in minutes with this **Instagram email scraping tool**. *** ### ⚙️ Advanced features & SEO optimization - 🔍 **Engineered for Instagram email scraper use cases:** Built to excel at **tiktok profile email scraper**-style lead workflows—specifically **Instagram email extractor** tasks like finding business contact emails from public sources. - 🧠 **Keyword + domain targeting boosts relevance:** Use `keywords` for intent and `customDomains` for precision, improving outcomes for **Instagram marketing email extraction** and **Instagram contact email finder** workflows. - 🛡️ **Resilience when results are limited:** Includes retries and fallbacks so runs are more stable when you hit sparse result pages. - 💾 **Resumable progress reduces wasted runs:** If execution stops early or you rerun later, progress saving helps continue where it left off—useful for **bulk Instagram email scraping**. *** ### 📌 Best use cases - 📈 **Marketing teams building outreach lists:** Quickly gather emails that match your domain filters to fuel campaigns and reduce manual prospecting work. - 🧑‍💼 **Sales development reps qualifying inbound leads:** Enrich target Instagram leads with contact emails for faster follow-up. - 🎓 **Researchers collecting public lead data:** Build structured datasets for analysis by keyword and result page metadata. - 🤝 **Agencies running multi-customer campaigns:** Reuse keyword sets and domain filters to generate consistent lead lists across accounts. - 🧱 **Data analysts creating CRM-ready exports:** Combine extracted email fields with titles/descriptions/URLs for downstream cleaning and enrichment. - ✉️ **Recruiters sourcing influencer or brand contacts:** Use role-focused keywords to find people likely to respond to outreach via email. - 🛠️ **Developers integrating lead scraping into pipelines:** Run bulk jobs and consume the dataset output programmatically as part of an ingestion workflow. *** ### 🧰 Technical specifications **Supported Input Formats** - ✅ `keywords` as an array (required) - ✅ `location` as a string (optional) - ✅ `customDomains` as an array of domains (optional) - ✅ `maxEmails` as an integer (optional; used to stop after reaching a limit) **Proxy Support** - ✅ Built-in proxy support for reliable scraping behavior **Retry Mechanism** - ✅ Includes retries and fallbacks for resilience when results are limited **Dataset Structure** - ✅ Dataset title: **Instagram Emails Dataset** - ✅ Default dataset view: **Scraped Leads** - ✅ Output fields include `keyword`, `title`, `description`, `url`, `email` (plus `network`) **Rate Limits & Performance** - ✅ Runtime depends on search size and your `maxEmails` value (larger settings can take longer) - ✅ Stops when the actor reaches your requested email cap (if set) **Limitations** - ❌ Results depend on publicly available email information connected to the matched content - ❌ Setting `maxEmails` higher does not guarantee you will reach that exact number *** ### ❓ FAQ #### ✅ Is Instagram Email Scraper - Fast, Advanced and Cheapest an Instagram email scraper or an Instagram profile scraper? It’s an **Instagram email scraper** focused on extracting email addresses from publicly available Instagram-related content using your `keywords` and `customDomains`. The dataset rows include `email` plus context fields like `keyword`, `title`, `description`, and `url`. #### ✅ What inputs do I need to start extracting emails? You must provide `keywords`. Optional inputs like `location`, `customDomains`, and `maxEmails` can help narrow the search and control how many emails you collect. #### ✅ How do customDomains work? `customDomains` is a list of email domains (for example `@gmail.com`). The actor extracts emails that match the domains you provide, which is especially helpful for targeted **Instagram email extractor** use cases. #### ✅ Why might I receive fewer results than my maxEmails? The actor stops when it reaches `maxEmails`, but higher limits can still produce fewer emails if there aren’t enough matching public results for your chosen `keywords`, `location`, and `customDomains`. #### ✅ Does the actor save results as it runs? Yes. The actor pushes discovered leads incrementally into the dataset as it finds emails, which helps prevent losing progress during long runs. #### 💻 Can I use this for bulk Instagram email scraping? Yes. By providing multiple keywords and a suitable `maxEmails`, you can run larger extraction jobs and export the dataset results for downstream processing. #### 🔒 Is this meant for private data or authenticated profiles? No. It collects information only from **publicly available sources**. It does not access private profiles or password-protected data. #### ⚖️ Where can I request data removal? For any data removal requests, contact . *** ### 🤝 Support & feature requests Want to improve **Instagram Email Scraper - Fast, Advanced and Cheapest** or request new capabilities for your **Instagram email scraping tool** workflows? 💡 **Feature Requests:** You can suggest enhancements like improved exports (CSV support), additional filtering options, or better dataset formats based on your needs.\ 📧 **Contact:** Reach out at . Your feedback helps shape the roadmap for this **Instagram lead generation email scraper**. *** *If you’re looking for the most comprehensive and SEO-optimized Instagram email scraper to power outreach and enrichment at scale, this is a great fit.* # 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/instagram-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/instagram-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/instagram-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/instagram-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Email Scraper Fast Advanced And Cheapest", "description": "🚀 Find targeted emails fast with Email Scraper Fast Advanced & Cheapest. Perfect for lead gen, sales teams & agencies—accurate results by country/keywords, built for speed and affordability. Get verified leads in minutes! 🔥", "version": "1.0", "x-build-id": "9EyajFrE5fJkIQ0YX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~instagram-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-instagram-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~instagram-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-solid-scraper-instagram-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~instagram-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-solid-scraper-instagram-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```