# Instagram B2B Email Scraper (`scraper-mind/instagram-b2b-email-scraper`) Actor Accelerate your B2B leads with lightning-fast Instagram email extraction ⚑. This Instagram B2B Email Scraper finds verified business emails from posts, reels, and profiles using targeted keywords and countries. Perfect for agencies, sales teams, and growth marketers. - **URL**: https://apify.com/scraper-mind/instagram-b2b-email-scraper.md - **Developed by:** [Scraper Mind](https://apify.com/scraper-mind) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 46 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $14.99/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ### πŸš€ Instagram B2B Email Scraper β€” The Ultimate B2B Lead Extraction Tool The **Instagram B2B Email Scraper** is a powerful automation tool designed to extract **verified business emails** from Instagram using targeted search keywords, countries, and content sources. πŸŒπŸ“© By scanning **posts, reels, and profiles**, this B2B Instagram Email Scraper identifies **publicly available business emails**, making it an essential tool for **lead generation, sales outreach, influencer research, and brand partnerships**. Its intelligent filtering system ensures you gather **high-quality B2B emails**, not random personal inboxes β€” improving **deliverability**, **conversion rates**, and **SEO-optimized audience targeting**. With its **cost-effective engine**, this Instagram Email Scraper is built for speed, accuracy, and scalability. ⚑ --- ### πŸ“Š What data can Instagram B2B Email Scraper extract? Below is the full breakdown of data fields extracted by the **IG Email Scraper**: | Extracted Data Type | Description | | ------------------- | --------------------------------------------------- | | **Keyword** | Search term used for discovery | | **Title** | Caption or title of the Instagram post/reel/profile | | **URL** | Direct link to the Instagram content | | **Description** | Extracted text content | | **Email** | Public business email found | | **Email Domain** | Website/company domain | | **Email Type** | B2B classification | | **Scrape Source** | Posts, Reels, Profiles, or All | | **Country** | Target region for leads | --- ### 🧩 Input Parameters #### JSON Example ```json { "keywords": ["fitness"], "maxEmails": 20, "country": "United States", "scrapeFrom": "All", "engine": "cost-effective" } ```` #### Input Table | Parameter | Type | Description | | -------------- | ------- | ------------------------------------------- | | **keywords** | Array | Search terms to target business profiles | | **maxEmails** | Integer | Maximum emails to extract | | **country** | String | Country to focus your search | | **scrapeFrom** | String | Content source: All, Profiles, Posts, Reels | | **engine** | String | Scraping mode: cost-effective or legacy | *** ### πŸ“€ Output Format #### JSON Example ```json [ { "keyword": "fitness", "title": "Stay fit, stay focused. PrideInn Azure's gym...", "url": "https://www.instagram.com/p/DOa_7UpiKYz/", "description": "...", "email": "callcentre@prideinn.co.ke", "email_domain": "prideinn.co.ke", "email_type": "B2B" } ] ``` #### Output Table | Field | Description | | ---------------- | -------------------------- | | **keyword** | Keyword used in the search | | **title** | Post or profile title | | **url** | Instagram link | | **description** | Extracted text | | **email** | Business email found | | **email\_domain** | Domain of the email | | **email\_type** | Classified as B2B | | **scrape\_from** | Source type | | **country** | Target region | *** ### πŸ”₯ Key Features of Instagram B2B Email Scraper ✨ Experience powerful automation with these premium features: - **🎯 Keyword-Based Targeting** β€” Enter any B2B keyword like *fitness, marketing, real estate* to extract niche-specific leads. - **🌍 Country-Specific Filtering** β€” Target business emails from any region including the **United States, UK, Canada**, and 100+ more. - **πŸ“Έ Multi-Source Extraction** β€” Extract emails from **Profiles, Posts, Reels**, or choose **All** for complete coverage. - **⚑ High-Speed Cost-Effective Engine** β€” Enjoy lightning-fast performance using optimized proxy rotation and async request handling. - **πŸ›‘ B2B Email Validation** β€” Automatically identifies **B2B emails** to ensure business-only results. - **πŸ“ˆ Lead-Ready Dataset Output** β€” Download structured JSON results for CRM imports, automation, or email marketing. - **πŸ”’ Custom Email Quotas** β€” Control the number of emails you want: from **20 to 10,000+**. - **🀝 Ideal for Sales Teams & Agencies** β€” Great for cold outreach, prospecting, influencer discovery, and competitor research. *** ### 🧭 How to use Instagram B2B Email Scraper Follow this simple step-by-step guide to extract B2B Instagram emails: 1. **πŸ” Log in to Apify** – Sign in or create a free account. 2. **πŸ”Ž Select the Actor** – Search for **β€œInstagram B2B Email Scraper”** in the Apify Store. 3. **πŸ“ Enter Input Data** – Add your keyword(s). Example: `"fitness"`, `"real estate"`, `"marketing"`. 4. **🌍 Choose Country** – Select your target region, such as *United States*. 5. **πŸ“Έ Select Content Source** – Choose **All**, **Posts**, **Reels**, or **Profiles**. 6. **βš™ Pick Your Engine** – Use the **cost-effective mode** for fast, low-cost scraping. 7. **πŸ”’ Set Email Limit** – For example, `maxEmails: 20`. 8. **β–Ά Run the Actor** – The scraper will automatically extract **verified B2B Instagram emails**. 9. **⬇ Download Results** – Export your dataset as **JSON, CSV, or Excel**. *** ### 🎯 Use Cases Here’s how businesses, marketers, and agencies use the **B2B Instagram Email Scraper**: - **πŸ’Ό Sales Prospecting** – Find business emails of gyms, hotels, agencies, coaches, restaurants, and more. - **πŸ“£ Influencer Marketing** – Identify creators & brands with real business contact emails. - **🏒 B2B Lead Generation** – Build targeted outreach lists for any industry. - **πŸ“Š Market Research** – Analyze competitor email domains and business activity. - **πŸ“§ Cold Email Campaigns** – Generate niche-specific B2B email lists that convert. - **🌱 Startup Growth** – Discover potential partners, vendors, or resellers. - **🧩 Agency Automation** – Automate email collection for client campaigns. *** ### ⭐ Why choose us? Your **Instagram Email Scraper** offers unmatched performance because: - **⚑ Ultra-fast extraction engine** designed for large-scale B2B searches. - **🎯 Laser-focused targeting** using keywords + country + content type. - **πŸ›‘ B2B-only filtering** ensures you get *high-value professional emails*, not personal inboxes. - **πŸ† Trusted by marketers, agencies, and SaaS teams** around the world. - **πŸ“Š CRM-ready structured output** for HubSpot, Pipedrive, Lemlist, Apollo, or Smartlead. - **🌐 Massive global coverage** across 150+ countries. - **πŸ’° Cost-efficient scraping mode** that saves time and resources. *** ### πŸ“ˆ How many results can you scrape with Instagram B2B Email Scraper? The **Instagram B2B Email Scraper** is built for scalability β€” whether you need **20 emails or 10,000+**. Thanks to its **cost-effective engine**, it processes large volumes quickly while maintaining high accuracy. Here’s what you can expect: - **πŸ”’ Email Quota Control:** Set any limit from 1 to 10,000+. - **πŸš€ Optimized Fast Mode:** Ideal for high-volume campaigns, delivering rapid results. - **🧠 Smart Filtering:** Ensures only **B2B emails** are captured to maximize lead value. - **🌍 Multi-Country Support:** Scrape data from specific regions or global audiences. - **βš™ Efficient Resource Management:** Long campaigns automatically optimize to reduce proxy and time usage. Whether you're a startup, agency, or enterprise, this IG Email Scraper scales smoothly for any demand β€” from small hyper-targeted searches to large enterprise datasets. *** ### βš– Is it legal to scrape Instagram? The legality of scraping Instagram depends on **how and what data** is collected. This scraper only extracts **publicly available information**, and you are responsible for ensuring your usage complies with: - Instagram’s Terms of Service - Local privacy laws (GDPR, CCPA, etc.) - Ethical considerations for outreach and marketing Using scraped **public B2B emails for legitimate business communication** is generally allowed, but you must **avoid spam**, provide **opt-out**, and maintain **compliance** with email regulations. *** ### ❓ FAQ **1. Does the Instagram B2B Email Scraper extract personal emails?** πŸ”Ή No β€” it focuses on **B2B emails only**. **2. Can I target multiple countries?** πŸ”Ή Yes, run multiple batches for multi-country campaigns. **3. How accurate are the extracted emails?** πŸ”Ή Emails are filtered and classified as **B2B**, improving deliverability. **4. Is the scraper fast?** πŸ”Ή Yes β€” the **cost-effective engine** delivers high-speed performance. **5. Can I export results to Excel?** πŸ”Ή Absolutely β€” CSV, Excel, and JSON exports are supported. **6. Do I need proxies?** πŸ”Ή No β€” everything is already built-in. **7. Is it safe to use?** πŸ”Ή Yes β€” it extracts only **publicly available** information. **8. Can agencies use this?** πŸ”Ή Yes β€” it's perfect for marketing teams, agencies, and SaaS companies. # Actor input Schema ## `keywords` (type: `array`): Define one or more search terms to target business profiles on Instagram. ## `country` (type: `string`): Select the geographic region to focus your B2B lead search. ## `scrapeFrom` (type: `string`): Select content type to extract business emails from β€” All, Posts, Reels, or Profiles. ## `engine` (type: `string`): Select extraction method. πŸš€ Optimized Mode: Leverages residential proxies with concurrent async requests for rapid, cost-efficient scraping. πŸ”§ Traditional Mode: Utilizes GOOGLE\_SERP proxy with classic selectors - higher reliability but increased time and cost. ## `maxEmails` (type: `integer`): Set the maximum number of business emails to extract. ## Actor input object example ```json { "keywords": [ "fitness", "gym", "workout" ], "country": "United States", "scrapeFrom": "All", "engine": "legacy", "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": [ "fitness", "gym", "workout" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-mind/instagram-b2b-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": [ "fitness", "gym", "workout", ] } # Run the Actor and wait for it to finish run = client.actor("scraper-mind/instagram-b2b-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "fitness", "gym", "workout" ] }' | apify call scraper-mind/instagram-b2b-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-mind/instagram-b2b-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram B2B Email Scraper", "description": "Accelerate your B2B leads with lightning-fast Instagram email extraction ⚑. This Instagram B2B Email Scraper finds verified business emails from posts, reels, and profiles using targeted keywords and countries. Perfect for agencies, sales teams, and growth marketers.", "version": "1.0", "x-build-id": "MjS90upJ4QZlRWERN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-mind~instagram-b2b-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-mind-instagram-b2b-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraper-mind~instagram-b2b-email-scraper/runs": { "post": { "operationId": "runs-sync-scraper-mind-instagram-b2b-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraper-mind~instagram-b2b-email-scraper/run-sync": { "post": { "operationId": "run-sync-scraper-mind-instagram-b2b-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "country", "scrapeFrom", "maxEmails" ], "properties": { "keywords": { "title": "Search Keywords", "type": "array", "description": "Define one or more search terms to target business profiles on Instagram.", "items": { "type": "string" } }, "country": { "title": "Target Country", "enum": [ "United States", "United Kingdom", "Canada", "Australia", "Germany", "France", "India", "Japan", "Brazil", "Italy", "Spain", "Netherlands", "Sweden", "Norway", "Denmark", "Finland", "Poland", "Czech Republic", "Hungary", "Romania", "Bulgaria", "Croatia", "Slovenia", "Slovakia", "Estonia", "Latvia", "Lithuania", "Portugal", "Greece", "Cyprus", "Malta", "Luxembourg", "Ireland", "Belgium", "Austria", "Switzerland", "Liechtenstein", "Iceland", "South Korea", "China", "Mexico", "Argentina", "Chile", "Colombia", "Peru", "Venezuela", "Ecuador", "Uruguay", "Paraguay", "Bolivia", "Guyana", "Suriname", "French Guiana", "Falkland Islands (Malvinas)", "South Georgia and the South Sandwich Islands", "Bonaire, Sint Eustatius and Saba", "CuraΓ§ao", "Aruba", "Sint Maarten (Dutch part)", "Turks and Caicos Islands", "British Virgin Islands", "Anguilla", "Montserrat", "Antigua and Barbuda", "Barbados", "Dominica", "Grenada", "Saint Kitts and Nevis", "Saint Lucia", "Saint Vincent and the Grenadines", "Trinidad and Tobago", "Jamaica", "Bahamas", "Belize", "Costa Rica", "Guatemala", "Honduras", "Nicaragua", "Panama", "El Salvador", "Cuba", "Dominican Republic", "Haiti", "Puerto Rico", "U.S. Virgin Islands", "American Samoa", "Guam", "Northern Mariana Islands", "Saudi Arabia", "United Arab Emirates", "Bahrain", "Iraq", "Iran, Islamic Republic of", "Israel", "Jordan", "Kuwait", "Lebanon", "Oman", "Qatar", "Syrian Arab Republic", "Yemen", "Afghanistan", "Bangladesh", "Bhutan", "Maldives", "Nepal", "Pakistan", "Sri Lanka", "Myanmar", "Cambodia", "Lao People's Democratic Republic", "Thailand", "Viet Nam", "Malaysia", "Singapore", "Brunei Darussalam", "Philippines", "Indonesia", "Timor-Leste", "Papua New Guinea", "Fiji", "New Zealand", "Solomon Islands", "Vanuatu", "New Caledonia", "French Polynesia", "Wallis and Futuna", "Samoa", "Tonga", "Tuvalu", "Kiribati", "Nauru", "Federated States of Micronesia", "Marshall Islands", "Palau", "Cook Islands", "Niue", "Tokelau" ], "type": "string", "description": "Select the geographic region to focus your B2B lead search.", "default": "United States" }, "scrapeFrom": { "title": "Email Source", "enum": [ "All", "Profiles", "Posts", "Reels" ], "type": "string", "description": "Select content type to extract business emails from β€” All, Posts, Reels, or Profiles.", "default": "All" }, "engine": { "title": "Scraping Engine", "enum": [ "cost-effective", "legacy" ], "type": "string", "description": "Select extraction method. πŸš€ Optimized Mode: Leverages residential proxies with concurrent async requests for rapid, cost-efficient scraping. πŸ”§ Traditional Mode: Utilizes GOOGLE_SERP proxy with classic selectors - higher reliability but increased time and cost.", "default": "legacy" }, "maxEmails": { "title": "Email Quota", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Set the maximum number of business emails to extract.", "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 } } } } } } } } } } ```