# Tradefinder Blog Info Parser Spider (`getdataforme/tradefinder-blog-info-parser-spider`) Actor The Tradefinder Blog Info Parser Spider is a web scraping tool designed for extracting and parsing blog data from the Tradefinder platform. It offers efficient, high-quality data extraction with customizable parameters, fast performance, and an easy-to-use interface.... - **URL**: https://apify.com/getdataforme/tradefinder-blog-info-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 --- ### README.md ## Tradefinder Blog Info Parser Spider Welcome to the Tradefinder Blog Info Parser Spider! This powerful tool is designed to efficiently extract and parse valuable information from blog posts on the Tradefinder platform. By leveraging advanced web scraping techniques, it provides high-quality data that can be used for various analytical purposes. ### Features - **Efficient Data Extraction**: Automatically scrapes and parses blog content with precision. - **High-Quality Data Output**: Ensures reliable and accurate information retrieval. - **Customizable Parameters**: Tailor the input settings to meet specific needs. - **Fast Performance**: Optimized for quick data processing and extraction. - **User-Friendly Interface**: Easy setup and execution without technical expertise. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | `blogUrls` | Array | Yes | List of blog URLs to parse. | `[ "https://example.com/blog1" ]` | | `maxPages` | Number | No | Maximum number of pages to scrape per blog URL. | `5` | | `delay` | Number | No | Delay between requests in milliseconds to prevent server overload. | `1000` | ### Example Usage #### Input JSON ```json { "blogUrls": ["https://example.com/blog1"], "maxPages": 5, "delay": 1000 } ```` #### Output JSON ```json [ { "blog_title": "Example Blog Title", "content_summary": "This is a summary of the blog content.", "tags": ["tag1", "tag2"], "author": "Author Name" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into industry trends and competitor strategies. - **Competitive Intelligence**: Monitor competitors' activities and content strategies. - **Price Monitoring**: Track pricing changes and promotions across various blogs. - **Content Aggregation**: Compile relevant blog posts for research or reporting. - **Academic Research**: Collect data for studies in digital marketing, SEO, etc. - **Business Automation**: Integrate with workflows to automate data collection. ### Installation and Usage 1. Search for "Tradefinder Blog Info Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output data is structured with key fields such as `blog_title`, `content_summary`, `tags`, and `author`. Each entry corresponds to a blog post, providing comprehensive details extracted from the source. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** # Actor input Schema ## `BlogUrls` (type: `array`): The blog urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "BlogUrls": [ "https://tradefinder.in/read-blog/BHCGCAIEAD.EDICDCE&name=CHALLENGES%20HOME-BASED%20TRADERS%20GO%20THROUGH%20-%20TIME%20MANAGEMENT%20TRICKS&abc=1234", "https://tradefinder.in/read-blog/BHCGCACAJF.EJDFFDE&name=Daily%20expiry%20on%20NSE%3A%20Gamblers%20Paradise&abc=1234", "https://tradefinder.in/read-blog/BHCGCADAFD.GHDEGD&name=WHY%20RELIANCE%20BECAME%20THE%20MOST%20IMPORTANT%20STOCK%20ON%20NSE%20INDIA%3F&abc=1234" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/tradefinder-blog-info-parser-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/tradefinder-blog-info-parser-spider").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 '{}' | apify call getdataforme/tradefinder-blog-info-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/tradefinder-blog-info-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tradefinder Blog Info Parser Spider", "description": "The Tradefinder Blog Info Parser Spider is a web scraping tool designed for extracting and parsing blog data from the Tradefinder platform. It offers efficient, high-quality data extraction with customizable parameters, fast performance, and an easy-to-use interface....", "version": "0.0", "x-build-id": "8l6GWYGxS9ovsUlTl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~tradefinder-blog-info-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-tradefinder-blog-info-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~tradefinder-blog-info-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-tradefinder-blog-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~tradefinder-blog-info-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-tradefinder-blog-info-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "BlogUrls": { "title": "Blog Urls", "minItems": 1, "type": "array", "description": "The blog urls for the spider.", "default": [ "https://tradefinder.in/read-blog/BHCGCAIEAD.EDICDCE&name=CHALLENGES%20HOME-BASED%20TRADERS%20GO%20THROUGH%20-%20TIME%20MANAGEMENT%20TRICKS&abc=1234", "https://tradefinder.in/read-blog/BHCGCACAJF.EJDFFDE&name=Daily%20expiry%20on%20NSE%3A%20Gamblers%20Paradise&abc=1234", "https://tradefinder.in/read-blog/BHCGCADAFD.GHDEGD&name=WHY%20RELIANCE%20BECAME%20THE%20MOST%20IMPORTANT%20STOCK%20ON%20NSE%20INDIA%3F&abc=1234" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```