# India eProcure (CPPP) Tender Scraper (`jungle_synthesizer/india-eprocure-tender-scraper`) Actor Scrapes active tenders from India's Central Public Procurement Portal (eProcure / CPPP), operated by NIC for all central government ministries. Extracts tender metadata including organization, tender type, value, EMD, dates, contact details, and document links. - **URL**: https://apify.com/jungle\_synthesizer/india-eprocure-tender-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## India eProcure (CPPP) Tender Scraper Scrapes active tenders from India's **Central Public Procurement Portal (eProcure / CPPP)**, operated by NIC (National Informatics Centre) for all central government ministries. This is the first Apify actor covering India's largest central government tender database. ### What it does The actor navigates the eProcure portal's organisation-based listing (no CAPTCHA required) to collect active tenders across all ~222 central government organisations, then fetches full detail pages for each tender. **Data extracted per tender:** - Tender ID (e.g. `2026_AIIMS_908061_1`) - Title / work description - Organisation and department (full hierarchy chain) - Tender type (Open, Limited, Two-Stage) - Tender category (Goods, Works, Services) - Product category - Estimated value in INR - EMD (Earnest Money Deposit) amount - Published date - Bid submission end date - Bid opening date - Location - Contact officer name and address - Tender detail page URL ### Use cases - **Bid discovery**: Find relevant government tenders for your industry or product category - **Procurement analytics**: Track tender volumes, values, and patterns across ministries - **Lead generation**: Identify opportunities for contractors, suppliers, and consultants - **Market research**: Understand India's public procurement spend by organisation and category - **Competitive intelligence**: Monitor tender awards and corrigenda ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of tenders to return (1–10,000) | | `organization` | string | _(all)_ | Optional: filter to a specific organisation (partial name match) | **Example — all active tenders (up to 100):** ```json { "maxItems": 100 } ```` **Example — filter to AIIMS tenders only:** ```json { "maxItems": 50, "organization": "All India Institute of Medical Science" } ``` ### Output Each record in the dataset: ```json { "tender_id": "2026_AMU_904522_1", "title": "Biochemistry Chemistry Analyzer on Reagent Rental Basis", "organization": "Aligarh Muslim University", "department": "Jawaharlal Nehru Medical College Hospital > Medical Superintendent", "tender_type": "Open Tender", "tender_category": "Goods", "product_category": "Laboratory and scientific equipment", "estimated_value": "NA", "emd_amount": "0.00", "published_date": "07-Apr-2026 03:00 PM", "bid_submission_end": "18-May-2026 09:00 AM", "bid_opening_date": "19-May-2026 09:00 AM", "location": "Department of Pathology JNMC AMU", "contact_name": "Chairperson Department of Pathology", "contact_address": "Department of Pathology JNMC AMU, Aligarh UP", "document_download_url": "https://eprocure.gov.in/eprocure/app?...", "status": "Active", "scraped_at": "2026-05-10T01:17:28.316Z" } ``` ### Notes - **Coverage**: All central government ministries and departments above procurement threshold. Does not cover state-level procurement or GeM (Government e-Marketplace) routine purchases. - **Active tenders only**: The actor scrapes currently active tenders. Historical/archived tenders require a separate run configuration. - **Organisation filter**: Partial matches are case-insensitive. For example, `"AIIMS"` will match all AIIMS institutions. - **Courtesy rate limiting**: The actor respects NIC server limits with 500ms delays between requests. ### About the portal The Central Public Procurement Portal (CPPP) at [eprocure.gov.in](https://eprocure.gov.in) is India's mandatory centralised tendering platform for all central government agencies above prescribed financial thresholds. It processes hundreds of billions of rupees in public procurement annually and is the authoritative source for government tender data in India. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of tenders to scrape (default: 10, max: 10000) ## `organization` (type: `string`): Optional: filter tenders to a specific organization name (partial match) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "organization": "" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/india-eprocure-tender-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "organization": "", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/india-eprocure-tender-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "organization": "" }' | apify call jungle_synthesizer/india-eprocure-tender-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/india-eprocure-tender-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "India eProcure (CPPP) Tender Scraper", "description": "Scrapes active tenders from India's Central Public Procurement Portal (eProcure / CPPP), operated by NIC for all central government ministries. Extracts tender metadata including organization, tender type, value, EMD, dates, contact details, and document links.", "version": "0.1", "x-build-id": "tXLrOadrj4UsIpCfG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~india-eprocure-tender-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-india-eprocure-tender-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/jungle_synthesizer~india-eprocure-tender-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-india-eprocure-tender-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/jungle_synthesizer~india-eprocure-tender-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-india-eprocure-tender-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of tenders to scrape (default: 10, max: 10000)", "default": 10 }, "organization": { "title": "Filter by Organization", "type": "string", "description": "Optional: filter tenders to a specific organization name (partial match)" } } }, "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 } } } } } } } } } } ```