# Medium Extractor (`jupri/medium`) Actor πŸ’« All-in-One Medium.com Scraper: Search, User, Story, Collection, Catalog - **URL**: https://apify.com/jupri/medium.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** Social media - **Stats:** 38 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing $30.00/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 ## Welcome To Medium Scraper ![don't be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### πŸ‚ About Medium.com **Medium** is an American [online publishing platform](https://en.wikipedia.org/wiki/Electronic_publishing "Electronic publishing") for written content such as articles and blogs, developed by [Evan Williams](https://en.wikipedia.org/wiki/Evan_Williams_(Internet_entrepreneur) "Evan Williams (Internet entrepreneur)") and launched in August 2012. It is owned by _A Medium Corporation_.[[2]](https://en.wikipedia.org/wiki/Medium_(website)#cite_note-2) The platform is an example of [social journalism](https://en.wikipedia.org/wiki/Social_journalism "Social journalism"), having a hybrid collection of amateur and professional people and publications, or exclusive blogs or publishers on Medium,[[3]](https://en.wikipedia.org/wiki/Medium_(website)#cite_note-3) and is regularly regarded as a [blog host](https://en.wikipedia.org/wiki/Blog "Blog"). Williams, who previously co-founded [Blogger](https://en.wikipedia.org/wiki/Blogger_(service) "Blogger (service)") and [Twitter](https://en.wikipedia.org/wiki/Twitter "Twitter"),[[4]](https://en.wikipedia.org/wiki/Medium_(website)#cite_note-4) initially developed Medium as a means to publish writings and documents longer than Twitter's 140-character (now 280-character) maximum. In March 2021, Medium announced a change in its publishing strategy and business model, reducing its own publications and increasing support of independent writers.[[5]](https://en.wikipedia.org/wiki/Medium_(website)#cite_note-nytmarch2021-5) ### πŸ‚ About This Actor All-in-One tool for scraping Medium.com ### πŸ‚ Tutorial #### 🍿 Parameters | Parameter | Type | Description | |-|-|-| | `query` | **array** | List of `QUERY`, `KEYWORD` or `URL` | `limit` | **integer** | Number of results per-query | `filters` | **object** | Various `QUERY` filters #### 🍿 Basic Usage Search for Stories ```yaml { "query": ["Web Scraping"], "limit": 10 } ```` Get a user info ```yaml { "query": ["@elonmusk"] } ``` #### 🍿 Advanced Usage ##### MEDIUM QUERY LANGUAGE (`MEQL`) ```html [ | # | @ ] [ | | | ] [ /
] ``` ##### Possible `QUERY` Values | Format | Example | Description | |-|-|-| | **<*KEYWORDS*>** | `search terms` | **Search Anything** | | `` | `Python` | Search for stories | | `users:` | `users:john` | Search for users/people | | `topics:` | `topics:java` | Search for topics | | `collections:` | `collections:python` | Search for publications
*(aka. collections)* | | `lists:` | `lists:apify` | Search for lists | | **#<*TOPIC*>** or
**tag:<*TOPIC*>** or
**topic:<*TOPIC*>**| `#art`
`tag:art`
`topic:art` | **Topic/Tag Data** | | `/posts` | `#art/posts` | Archive | | `/recommended` | `#art/recommended` | Recommended Stories | | `/people` or `/users` | `#art/people` | Who to follow | | **post:<*STORY\_ID*>** | `post:xxxxxxxx` | **Story/Post Data**
*STORY-ID is 12 digits HEX* | | `/info` | `post:xxxxxxxx/info` | Post info/content | | `/comments` | `post:xxxxxxxx/comments` | Post comments/responses | | **@<*USER*>** or
**user:<*USER*>** | `@jancurn` | **User Data** | | `/info` | `@jancurn/info` | User info | | `/posts` or `/stories` | `@jancurn/posts` | User posts/stories | | `/followers` | `@jancurn/followers` | User followers | | `/following` | `@jancurn/following` | User following | | `/collections` | `@jancurn/collections` | User following(publications) | | `/lists` | `@jancurn/lists` | User lists(catalogs) | | **list:<*LIST*>** | | **List/Catalog Data** | | `/info` | `list:xxxxx/info` | Catalog info | | `/items` | `list:xxxxx/items` | Catalog items | | **collection:<*SLUG*>** | `collection:python` | **Publication/Collection**
*ex: https://medium.com/python* | | `/info` | `collection:python/info` | Publication info | | `/posts` | `collection:python/posts` | Publication posts | | `/followers` | `collection:python/followers` | Publication followers | | **https:<*URL*>** | `https://medium.com/...` | **Start URL** | | | `/search?q=` | Search page | | | `/@` | User profile | | | `/tag//recommended` | Topic recommended posts| | | `/tag//archive//` | Topic posts archive | | | `https://.medium.com/...` | User domain | ### πŸ‚ INPUT Examples #### 🍿 Example #1: Searching Search for Stories ```yaml { "query": ["Web Scraping"], "limit": 10 } ``` Search for Users ```yaml { "query": ["users:Python"], "limit": 10 } ``` #### 🍿 Example #2: User Data Get a user info ```yaml { "query": ["@elonmusk"] } ``` Get a user posts *(aka. stories)* ```yaml { "query": ["@elonmusk/posts"], "limit": 10 } ``` Get a user followers ```yaml { "query": ["@elonmusk/followers"], "limit": 10 } ``` ### πŸ‚ OUTPUT Samples ### πŸ‚ Support Feel free to [reach out](https://console.apify.com/actors/8N55z5NnImXTmHd2g/issues) to the developer for any issues or suggestions for improvement. # Actor input Schema ## `query` (type: `array`): πŸ’‘ Search Terms ## `example` (type: `string`): πŸ’‘ Query Example ## `search_type` (type: `string`): No description ## `limit` (type: `integer`): πŸ’‘ Number of results (per-query) ## `dev_proxy_config` (type: `object`): πŸ’‘ Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000 ## `dev_custom_headers` (type: `array`): πŸ’‘ Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): πŸ’‘ Additional HTTP Cookies ## `dev_transform_fields` (type: `array`): πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
## `dev_dataset_name` (type: `string`): πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME} ## `dev_dataset_clear` (type: `boolean`): Clear Dataset before insert/update. ## `dev_no_strip` (type: `boolean`): πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## Actor input object example ```json { "query": [ "Python" ], "limit": 5 } ``` # 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 = { "query": [ "Python" ], "limit": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/medium").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": ["Python"], "limit": 5, } # Run the Actor and wait for it to finish run = client.actor("jupri/medium").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": [ "Python" ], "limit": 5 }' | apify call jupri/medium --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jupri/medium", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Medium Extractor", "description": "πŸ’« All-in-One Medium.com Scraper: Search, User, Story, Collection, Catalog", "version": "0.1", "x-build-id": "glwA9W4sWJv4Cp7ZZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~medium/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-medium", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/jupri~medium/runs": { "post": { "operationId": "runs-sync-jupri-medium", "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/jupri~medium/run-sync": { "post": { "operationId": "run-sync-jupri-medium", "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", "properties": { "query": { "title": "❓ Query", "type": "array", "description": "πŸ’‘ Search Terms", "items": { "type": "string" } }, "example": { "title": "Examples", "enum": [ "Apify", "@jancurn", "@jancurn/posts", "@jancurn/followers", "post:143cac6a484b", "https://medium.com/tag/food/archive/2025/1" ], "type": "string", "description": "πŸ’‘ Query Example" }, "search_type": { "title": "πŸ”Ž Search Type", "enum": [ "posts", "users", "publications", "topics", "lists" ], "type": "string", "description": "" }, "limit": { "title": "♾️ Limit", "type": "integer", "description": "πŸ’‘ Number of results (per-query)" }, "dev_proxy_config": { "title": "🌐 PROXY NETWORKING", "type": "object", "description": "πŸ’‘ Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000" }, "dev_custom_headers": { "title": "πŸ“œ HTTP HEADERS", "type": "array", "description": "πŸ’‘ Additional HTTP Headers", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_custom_cookies": { "title": "🍰 HTTP COOKIES", "type": "array", "description": "πŸ’‘ Additional HTTP Cookies", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_transform_fields": { "title": "♻️ CUSTOM FIELD", "type": "array", "description": "πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_dataset_name": { "title": "πŸ“ CUSTOM STORAGE", "type": "string", "description": "πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME}" }, "dev_dataset_clear": { "title": "Clear Storage", "type": "boolean", "description": "Clear Dataset before insert/update." }, "dev_no_strip": { "title": "Disable data cleansing", "type": "boolean", "description": "πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)" } } }, "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 } } } } } } } } } } ```