# Datagovu Profileinfo Parser Spider (`getdataforme/datagovu-profileinfo-parser-spider`) Actor Automate data extraction from Data.gouv.fr profiles with high accuracy. Customize scraping tasks, receive structured JSON output for easy integration, and handle large datasets efficiently. Ideal for market research, competitive intelligence, and academic projects.... - **URL**: https://apify.com/getdataforme/datagovu-profileinfo-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, NaN 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 --- ## Datagovu Profileinfo Parser Spider ### Introduction The Datagovu Profileinfo Parser Spider is a powerful web scraping tool designed to extract detailed profile information from specified URLs on the Data.gouv.fr platform. This actor simplifies data collection for analysis, research, and business intelligence by automating the extraction process with high accuracy and efficiency. ### Features - **Automated Data Extraction**: Seamlessly scrape profile information from multiple URLs. - **Customizable Input Parameters**: Tailor scraping tasks to specific needs using configurable options. - **High-Quality Output**: Receive structured data in JSON format for easy integration into workflows. - **Scalable Performance**: Efficiently handle large volumes of data with adjustable item limits. - **User-Friendly Configuration**: Simple setup process with clear instructions and examples. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | ProfileUrls | array | Yes | The profile URLs for the spider. Must be valid HTTP/HTTPS links. | `["https://example.com/data1", "https://example.com/data2"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "ProfileUrls": [ "https://www.data.gouv.fr/datasets/boursiers-par-departement", "https://www.data.gouv.fr/datasets/demandes-de-valeurs-foncieres/reuses_and_dataservices" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "url": "https://www.data.gouv.fr/datasets/boursiers-par-departement", "title": "Boursiers par département", "organization": "Ministères de l'Éducation nationale", "attributions": [ {"name": "DGESCO - Ministère de l'éducation nationale", "role": "Créateur"}, {"name": "DGESCO - Ministère de l'éducation nationale", "role": "Éditeur"} ], "last_updated": "January 29, 2026", "views": 0, "downloads": 0, "description": "Nombre de boursiers à la rentrée 2020 par départements selon le type d'établissements et le secteur...", "files": ["fr-en-boursiers-par-departement.csv", "fr-en-boursiers-par-departement.json"], "actor_id": "IgJuOSCW0QXJfFz1z", "run_id": "fckhcO6VcOUf05IH3" }, { "url": "https://www.data.gouv.fr/datasets/demandes-de-valeurs-foncieres/reuses_and_dataservices", "title": "Demandes de valeurs foncières", "organization": "Ministères économiques et financiers", "attributions": [], "last_updated": "April 5, 2026", "views": 0, "downloads": 0, "description": "Conformément au décret n° 2018-1350 du 28 décembre 2018 relatif à la publication sous forme électronique...", "files": [], "actor_id": "IgJuOSCW0QXJfFz1z", "run_id": "fckhcO6VcOUf05IH3" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather comprehensive data for market insights. - **Competitive Intelligence**: Monitor competitor activities and offerings. - **Price Monitoring**: Track pricing trends across datasets. - **Content Aggregation**: Compile information from various sources into a single dataset. - **Academic Research**: Support research projects with structured data collection. - **Business Automation**: Automate data-driven decision-making processes. ### Installation and Usage 1. Search for "Datagovu Profileinfo 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 is a JSON array where each object represents a profile with fields such as `url`, `title`, `organization`, `attributions`, `last_updated`, `views`, `downloads`, `description`, `files`, `actor_id`, and `run_id`. This structured format facilitates easy data manipulation and integration into various applications. ### Error Handling The actor includes robust error handling to manage issues such as invalid URLs, network errors, or unexpected changes in the target website structure. Errors are logged for review, allowing users to adjust configurations accordingly. ### Rate Limiting and Best Practices To ensure optimal performance and avoid overloading servers: - Respect rate limits by configuring appropriate delays between requests. - Use the `item_limit` parameter to control data volume per run. - Monitor logs for any rate-limiting warnings or errors. ### Limitations and Considerations - The actor is designed specifically for Data.gouv.fr URLs. It may not function correctly with other websites. - Ensure all input URLs are valid and accessible before running the spider. - Be aware of legal restrictions regarding data scraping from specific sources. ### 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 ## `ProfileUrls` (type: `array`): The profile 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 { "ProfileUrls": [ "https://www.data.gouv.fr/datasets/boursiers-par-departement", "https://www.data.gouv.fr/datasets/demandes-de-valeurs-foncieres/reuses_and_dataservices" ], "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/datagovu-profileinfo-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/datagovu-profileinfo-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/datagovu-profileinfo-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/datagovu-profileinfo-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Datagovu Profileinfo Parser Spider", "description": "Automate data extraction from Data.gouv.fr profiles with high accuracy. Customize scraping tasks, receive structured JSON output for easy integration, and handle large datasets efficiently. Ideal for market research, competitive intelligence, and academic projects....", "version": "0.0", "x-build-id": "ffjxSZTn3UgPzJZHP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~datagovu-profileinfo-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-datagovu-profileinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~datagovu-profileinfo-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-datagovu-profileinfo-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~datagovu-profileinfo-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-datagovu-profileinfo-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProfileUrls": { "title": "Profile Urls", "minItems": 1, "type": "array", "description": "The profile urls for the spider.", "default": [ "https://www.data.gouv.fr/datasets/boursiers-par-departement", "https://www.data.gouv.fr/datasets/demandes-de-valeurs-foncieres/reuses_and_dataservices" ], "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 } } } } } } } } } } ```