National Bidding and Tendering Project Query & Company Profile API
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About this skill
The Specific Problem Addressed
In scenarios involving supply chain analysis, market intelligence gathering, or commercial decision support, the systematic and rapid acquisition of public bidding, tendering, and contract information across a national scale is a fundamental yet cumbersome task. Data is typically scattered across various local public resource trading platforms, with non-uniform formats and field definitions. Engineers or analysts require a reliable structured data source to support competitor analysis, regional market insights, potential client discovery, or project lifecycle tracking. Manual collection is inefficient and hinders deep associative analysis.
Core Capabilities and Workflow
This skill encapsulates the ShiBo Technology bidding and tendering data API, providing a programmatic set of query and analysis interfaces. The workflow can be broken down into key steps:
- Authentication and Configuration: The API key is read from the environment variable
BBIAO_API_KEY. If not configured, guidance is provided for acquisition. The key is a prerequisite for all API calls. - Data Retrieval: Choose different search interfaces based on requirements.
- Natural Language-Friendly Query: Use
/bid/SearchProjectForAI, passing natural language parameters likeareaNamedirectly. - Structured Condition Query: Use
/bid/searchProjectApi, supporting complex keyword combinations (e.g.,keyworduses spaces for "must appear together" and|for "appear in either"), region codes (proviceCodeList), industry codes, enterprise roles (partAName,partBName,agentName), and time ranges. Search precision is controlled viasearchTypeandsearchMode. - AI-Assisted Query: First call
/bid/aiSearchSubmitPollingto rewrite a vague requirement into structured conditions, then perform the search.
- Natural Language-Friendly Query: Use
- Deep Information Acquisition: Search results only return summaries. Based on the
idandpublishTimein the results, call detail interfaces as needed, for example:/bid/getZTBStructreDetailto get structured fields like project budget, winning bid amount, party A & B, and agency information./bid/getZTBProjectDetailto get the full announcement text./bid/getZTBProjectFilesto get the list of attachments and download addresses./bid/getCollectUrlto get the original web page URL of the announcement.
- Company Profile Construction: For a target enterprise, a profile can be built using a combination of interfaces:
/bid/companyProfileSummaryfor an overview including business basics and bidding statistics./bid/companyProfileContactsto obtain contact phone numbers./bid/companyProfileCustomersand/bid/companyProfileSuppliersto retrieve associated client and supplier enterprises and projects.
- Assistance and Structurization: AI reasoning interfaces enhance query capabilities, such as mapping industry codes via
/bid/industryReasoningor using/bid/ztbAiStructureInfoto extract structured fields from unstructured announcement text.
Applicable Boundaries and Considerations
- Nature of Data: The data is an aggregation of daily-updated public information. An "no match" return from an interface does not imply the real-world absence of relevant projects, only that the current query did not match any data. Analytical conclusions should explicitly state the data coverage scope and timeliness.
- Enterprise Relationships: The customer and supplier interfaces return business associations based on historical projects and do not signify equity control or current exclusive cooperative relationships. Confirming a specific project role (Party A/B) must be verified by calling the structured detail interface, and cannot be inferred solely from a
companyNamehit in the search. - Usage Limits: All interfaces have pagination limits (e.g., list searches max 50 or 100 items per page). Full data retrieval requires iterative pagination. Before calculating statistics like market share, it is mandatory to confirm that all pages of data have been retrieved.
- Compliance: When using the enterprise contact interface, the user must ensure that subsequent communication complies with relevant privacy and marketing regulations.
Use Cases
- When a procurement team needs to evaluate a specific supplier's performance history, use company profile interfaces to analyze its clients, suppliers, and winning bid records.
- When a market analyst needs to research the total government procurement amount and trends for a specific region and industry (e.g., medical equipment) over the past year, use the search interface to aggregate data by classification and amount.
- When a project manager receives a vaguely described potential project text (e.g., an announcement screenshot), use the AI text processing chain to sequentially perform content discrimination, classification, and key field extraction.
- When a sales team wishes to discover potential opportunities in advance, use the pre-construction project search interface to filter project information in the planning stage by keywords and region.
Best For
- A procurement manager responsible for supply chain risk management, needing to systematically track a supplier's bidding dynamics and historical contracts.
- A consulting analyst writing an industry or regional market analysis report, requiring public bidding data with amounts and classifications as analytical evidence.
- A technical lead developing a corporate credit assessment or risk monitoring SaaS product, needing to integrate a reliable data source for bidding activity and enterprise relationships.
- A sales director focusing on government or enterprise procurement sectors, needing to proactively uncover target clients' purchasing intentions and potential pre-construction projects.
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