# Dettes Discovery Extractor (`getdataforme/dettes-discovery-extractor`) Actor Dettes Discovery Extractor is a web scraping tool designed for extracting financial content from Dettes. It allows keyword-based searches, ensuring high-quality data extraction with customizable item limits.... - **URL**: https://apify.com/getdataforme/dettes-discovery-extractor.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 ### Dettes Discovery Extractor #### Introduction Dettes Discovery Extractor is a powerful web scraping tool designed to extract valuable financial content from the Dettes website. It efficiently gathers articles related to specified keywords, providing insights into finance and debt management topics. #### Features - **Keyword-Based Scraping**: Customize searches with specific keywords. - **High Data Quality**: Reliable extraction of article details. - **Flexible Item Limit**: Control the number of items scraped per run. - **Comprehensive Output**: Includes titles, URLs, author information, and more. - **User-Friendly Configuration**: Easy setup with intuitive input parameters. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | Keywords | array | No | The keywords for the spider. | `["finance"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Keywords": ["finance"], "item_limit": 10 } ```` ##### Output JSON ```json [ { "keyword": "finance", "article_title": "Refinancement hypoth\u00e9caire : quand est-ce que c\u2019est une bonne id\u00e9e ?", "short_brief": "Vous sentez la pression monter. Le budget explose, les dettes s\u2019empilent, et vous jonglez entre plusieurs paiements \u00e0 taux \u00e9lev\u00e9...", "article_detail_url": "https://www.dettes.ca/refinancement-hypothecaire/", "article_image": "https://www.dettes.ca/app/uploads/2025/05/maison.png", "author_name": "Pierre Leblanc, CPA, CIRP, SAI", "author_image": "https://secure.gravatar.com/avatar/?s=200&d=mm&r=g", "designation": "Fondateur, Pr\u00e9sident chez Groupe Leblanc Syndic", "actor_id": "fJjH99ocYAqD3a0jv", "run_id": "0ppgzYqKkbVTkSQTH" }, { "keyword": "finance", "article_title": "R\u00e9solutions financi\u00e8res en 2026 : 10 d\u00e9cisions pour reprendre le contr\u00f4le de vos finances", "short_brief": "Les r\u00e9solutions financi\u00e8res ne devraient pas \u00eatre r\u00e9serv\u00e9es au d\u00e9but de l\u2019ann\u00e9e...", "article_detail_url": "https://www.dettes.ca/resolutions-financieres/", "article_image": "https://www.dettes.ca/app/uploads/2024/12/df.png", "author_name": "Pierre Leblanc, CPA, CIRP, SAI", "author_image": "https://secure.gravatar.com/avatar/?s=200&d=mm&r=g", "designation": "Fondateur, Pr\u00e9sident chez Groupe Leblanc Syndic", "actor_id": "fJjH99ocYAqD3a0jv", "run_id": "0ppgzYqKkbVTkSQTH" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into financial trends. - **Competitive Intelligence**: Monitor competitor content strategies. - **Price Monitoring**: Track changes in financial advice offerings. - **Content Aggregation**: Compile relevant articles for newsletters. - **Academic Research**: Source data for studies on finance topics. - **Business Automation**: Automate the collection of financial insights. #### Installation and Usage 1. Search for "Dettes Discovery Extractor" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters. 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 is a JSON array of objects, each containing: - `keyword`: The search keyword used. - `article_title`: Title of the article. - `short_brief`: Brief summary of the article. - `article_detail_url`: URL to the full article. - `article_image`: Image associated with the article. - `author_name`: Name of the author. - `author_image`: Image of the author. - `designation`: Author's designation. - `actor_id`: Unique identifier for the actor run. - `run_id`: Unique identifier for the specific run. #### Error Handling The Actor logs errors encountered during execution. Common issues include network failures or changes in the target website structure. Ensure all required fields are filled before running the spider to minimize errors. #### Rate Limiting and Best Practices To avoid being blocked, adhere to polite scraping practices such as respecting `robots.txt` rules and using appropriate delays between requests. Adjust the `item_limit` parameter based on your needs and server capacity. #### Limitations and Considerations - The Actor is designed specifically for the Dettes website. - Changes in the website's structure may affect data extraction. - Ensure compliance with legal and ethical guidelines when scraping content. ### 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 ## `Keywords` (type: `array`): The keywords 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 { "Keywords": [ "finance" ], "item_limit": 10 } ``` # 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/dettes-discovery-extractor").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/dettes-discovery-extractor").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/dettes-discovery-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/dettes-discovery-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dettes Discovery Extractor", "description": "Dettes Discovery Extractor is a web scraping tool designed for extracting financial content from Dettes. It allows keyword-based searches, ensuring high-quality data extraction with customizable item limits....", "version": "0.0", "x-build-id": "AE2cbZk2sxaCRAKdu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~dettes-discovery-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-dettes-discovery-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~dettes-discovery-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-dettes-discovery-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~dettes-discovery-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-dettes-discovery-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Keywords": { "title": "Keywords", "type": "array", "description": "The keywords for the spider.", "default": [ "finance" ], "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 } } } } } } } } } } ```