# Instagram Post Scraper (`clothefobia/instagram-post-scraper`) Actor Instagram Post Scraper : Scrap All posts detail from any instagram profile. - **URL**: https://apify.com/clothefobia/instagram-post-scraper.md - **Developed by:** [clothe fobia](https://apify.com/clothefobia) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Post Scraper Instagram Post Scraper - scrap all instagram posts with all details from any instagram profile . you just need to insert Instagram profile tool will scrape all post related to this hash tag. ### Included below data when you scrap using our tools - **Post ID - **Post URL - **Post Short Code - **Post Caption - **Instagram user_id - **Instagram user_name - **Post like count - **Post comment count - **Post image_url - **timestamp Example data extract from our tools ```` { "id": "3788640076473336808\_38112389378", "post\_url": "https://www.instagram.com/p/DST9BOUAIPo/", "shortcode": "DST9BOUAIPo", "caption": "DataScrapify - All in one automation tools for grow your social media\n\nhttps://www.datascrapify.com", "video": "https://scontent-iad3-2.cdninstagram.com/o1/v/t2/f2/m86/AQPkwjJ-jKCUU3LOQAUmiX3oCHauG6GYF9lv7VYtLcdypysKAEJQaVtly6Zo41iUJUi9nBgA2nOCIW\_RQ3V6T45psB9STZzqIi\_tek0.mp4?\_nc\_cat=105&\_nc\_sid=5e9851&\_nc\_ht=scontent-iad3-2.cdninstagram.com&\_nc\_ohc=DFG\_Z1xK8VIQ7kNvwEP6qJU\&efg=eyJ2ZW5jb2RlX3RhZyI6Inhwdl9wcm9ncmVzc2l2ZS5JTlNUQUdSQU0uQ0xJUFMuQzMuNzIwLmRhc2hfYmFzZWxpbmVfMV92MSIsInhwdl9hc3NldF9pZCI6ODQ3OTk3MjUxNDY0NDAzLCJhc3NldF9hZ2VfZGF5cyI6OTUsInZpX3VzZWNhc2VfaWQiOjEwMDk5LCJkdXJhdGlvbl9zIjozOCwidXJsZ2VuX3NvdXJjZSI6Ind3dyJ9\&ccb=17-1\&vs=9f3e18358cf13e50&\_nc\_vs=HBksFQIYUmlnX3hwdl9yZWVsc19wZXJtYW5lbnRfc3JfcHJvZC9DQzRDRjk1NkFDNzNCN0U4OUFEMzVEOEI2REE1MjVCRV92aWRlb19kYXNoaW5pdC5tcDQVAALIARIAFQIYOnBhc3N0aHJvdWdoX2V2ZXJzdG9yZS9HQWROMVNPMlZPcXRkeElIQUk3RXBnX203Y2htYnN0VEFRQUYVAgLIARIAKAAYABsCiAd1c2Vfb2lsATEScHJvZ3Jlc3NpdmVfcmVjaXBlATEVAAAmprON7\_fPgQMVAigCQzMsF0BDLtkWhysCGBJkYXNoX2Jhc2VsaW5lXzFfdjERAHX-B2XmnQEA&\_nc\_gid=QSmCSzgC\_wh048pGkpU5Ng&\_nc\_ss=7a30f&\_nc\_zt=28\&oh=00\_Afwjnyv-la4tgptsKhg2MtZ3xd-ywAUtOIdmXjuHPU-McQ\&oe=69C06862", "user\_id": "38112389378", "user\_name": "motivation\_quote\_12668", "like\_count": 1, "comment\_count": 0, "timestamp": 1765861130, "image\_url": "https://scontent-iad3-1.cdninstagram.com/v/t51.82787-15/598127283\_18079034909269379\_4880633476719646927\_n.jpg?stp=dst-jpg\_e15\_tt6&\_nc\_cat=110\&ig\_cache\_key=Mzc4ODY0MDA3NjQ3MzMzNjgwOA%3D%3D.3-ccb7-5\&ccb=7-5&\_nc\_sid=58cdad\&efg=eyJ2ZW5jb2RlX3RhZyI6InhwaWRzLjEwODB4MTkyMC5zZHIuQzMifQ%3D%3D&\_nc\_ohc=k2ptA-MLU\_oQ7kNvwFW2dCN&\_nc\_oc=AdrLQsjYBypJWOIV1RfCwrahZwv4fAyksAn0bcFpwmWW2K3xmJRDeH\_\_zZeUkMjxHPY&\_nc\_ad=z-m&\_nc\_cid=0&\_nc\_zt=23&\_nc\_ht=scontent-iad3-1.cdninstagram.com&\_nc\_gid=QSmCSzgC\_wh048pGkpU5Ng&\_nc\_ss=7a30f\&oh=00\_AfzxfxthDvk7AMR-RTjopm9jUz48cvRDpDTok5rUoeiZwQ\&oe=69C454FC" } ```` - ✅ Software will Extract All posts from any intagram hash tag with cookie method. - ✅ Software with extract data with very securily so that instagram not block you. - ✅ Software with extractraction speed is in 1 second 100 data. - ✅ 100% Real Time instagram followere information with Advance Export into Excel ,CSV and Text Format. ### How to use - Instagram Cookie - Enter Instagram Cookie (Check Section how to get Cookie) - Instagram Profile : Enter any instagram profile like "Bot" - Click on Save and Start Button for Start Process. ### How to get Instagram Cookies 1. ✅ Step 1 : Install Chrome Extension [Export cookie JSON file for Puppeteer](https://chromewebstore.google.com/detail/export-cookie-json-file-f/nmckokihipjgplolmcmjakknndddifde/reviews) in chrome browser 2. ✅ Step 2 : Login to your Instagram into chrome browser 3. ✅ Step 3 : After login, open chrome Extension "Export cookie JSON file for Puppeteer" and Click Export cookies as JSON, it will download Cookie json file, from file copy cookie. 4. ✅ Step 4 : Go to Software input Area,Paste Cookie on Box "Instagram Cookie" Get Cookie Demo video. so as per this video, just get cookie for instagram https://youtu.be/_8rjcypTGZ4 if you face any issue , you can email us at clothefobia@gmail.com # Actor input Schema ## `Insta_UserName` (type: `string`): Instagram User Name ## `insta_cookie` (type: `array`): Instagram authentication cookies in JSON format (name-value pairs). To export cookies 1. Install the Cookie Editor extension from [here](https://chromewebstore.google.com/detail/export-cookie-json-file-f/nmckokihipjgplolmcmjakknndddifde/reviews) 2. open Instagram 3. export cookies as JSON 4. paste the JSON in this field. For more, watch [this video](https://youtu.be/yYJ6l2jm83Q). Required for accessing post likers. ## `maxPosts` (type: `integer`): Maximum number of posts ## `Run_Last` (type: `boolean`): If checked then actors runs where last stop ## `proxy` (type: `object`): Select proxies to be used by the scraper to avoid being blocked by Instagram. ## Actor input object example ```json { "Insta_UserName": "motivation_quote_12668", "maxPosts": 50, "proxy": { "useApifyProxy": true } } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "Insta_UserName": "motivation_quote_12668", "Run_Last": false, "proxy": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("clothefobia/instagram-post-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 = { "Insta_UserName": "motivation_quote_12668", "Run_Last": False, "proxy": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("clothefobia/instagram-post-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 '{ "Insta_UserName": "motivation_quote_12668", "Run_Last": false, "proxy": { "useApifyProxy": true } }' | apify call clothefobia/instagram-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=clothefobia/instagram-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Post Scraper", "description": "Instagram Post Scraper : Scrap All posts detail from any instagram profile.", "version": "0.0", "x-build-id": "uP05NydhvJj5uMAh6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/clothefobia~instagram-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-clothefobia-instagram-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/clothefobia~instagram-post-scraper/runs": { "post": { "operationId": "runs-sync-clothefobia-instagram-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/clothefobia~instagram-post-scraper/run-sync": { "post": { "operationId": "run-sync-clothefobia-instagram-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "insta_cookie" ], "properties": { "Insta_UserName": { "title": "Instagram User Name", "type": "string", "description": "Instagram User Name" }, "insta_cookie": { "title": "Instagram Cookies", "type": "array", "description": "Instagram authentication cookies in JSON format (name-value pairs). To export cookies \n1. Install the Cookie Editor extension from [here](https://chromewebstore.google.com/detail/export-cookie-json-file-f/nmckokihipjgplolmcmjakknndddifde/reviews) \n2. open Instagram \n3. export cookies as JSON \n4. paste the JSON in this field. \nFor more, watch [this video](https://youtu.be/yYJ6l2jm83Q). \nRequired for accessing post likers." }, "maxPosts": { "title": "Maximum", "type": "integer", "description": "Maximum number of posts", "default": 50 }, "Run_Last": { "title": "Run where last stop", "type": "boolean", "description": "If checked then actors runs where last stop" }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by the scraper to avoid being blocked by Instagram." } } }, "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 } } } } } } } } } } ```