web_data_crunchbase_company
Extract structured company data from Crunchbase URLs to analyze business information without web scraping.
Instructions
Quickly read structured crunchbase company data This can be a cache lookup, so it can be more reliable than scraping
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Implementation Reference
- server.js:687-743 (handler)The core handler logic for the web_data_crunchbase_company tool. It triggers a BrightData dataset collection using the specific dataset_id and polls the snapshot status until data is ready or times out after 600 attempts.
execute: tool_fn(`web_data_${id}`, async(data, ctx)=>{ let trigger_response = await axios({ url: 'https://api.brightdata.com/datasets/v3/trigger', params: {dataset_id, include_errors: true}, method: 'POST', data: [data], headers: api_headers(), }); if (!trigger_response.data?.snapshot_id) throw new Error('No snapshot ID returned from request'); let snapshot_id = trigger_response.data.snapshot_id; console.error(`[web_data_${id}] triggered collection with ` +`snapshot ID: ${snapshot_id}`); let max_attempts = 600; let attempts = 0; while (attempts < max_attempts) { try { if (ctx && ctx.reportProgress) { await ctx.reportProgress({ progress: attempts, total: max_attempts, message: `Polling for data (attempt ` +`${attempts + 1}/${max_attempts})`, }); } let snapshot_response = await axios({ url: `https://api.brightdata.com/datasets/v3` +`/snapshot/${snapshot_id}`, params: {format: 'json'}, method: 'GET', headers: api_headers(), }); if (['running', 'building'].includes(snapshot_response.data?.status)) { console.error(`[web_data_${id}] snapshot not ready, ` +`polling again (attempt ` +`${attempts + 1}/${max_attempts})`); attempts++; await new Promise(resolve=>setTimeout(resolve, 1000)); continue; } console.error(`[web_data_${id}] snapshot data received ` +`after ${attempts + 1} attempts`); let result_data = JSON.stringify(snapshot_response.data); return result_data; } catch(e){ console.error(`[web_data_${id}] polling error: ` +`${e.message}`); attempts++; await new Promise(resolve=>setTimeout(resolve, 1000)); } } throw new Error(`Timeout after ${max_attempts} seconds waiting ` +`for data`); }), - server.js:676-682 (schema)Dynamic schema construction for the tool parameters based on the inputs array from the dataset config. For crunchbase_company, inputs=['url'], so parameter 'url' is z.string().url().
let parameters = {}; for (let input of inputs) { let param_schema = input=='url' ? z.string().url() : z.string(); parameters[input] = defaults[input] !== undefined ? param_schema.default(defaults[input]) : param_schema; } - server.js:409-416 (registration)Registration of the dataset configuration for crunchbase_company, which is used in the loop to create the 'web_data_crunchbase_company' tool with name `web_data_${id}`.
id: 'crunchbase_company', dataset_id: 'gd_l1vijqt9jfj7olije', description: [ 'Quickly read structured crunchbase company data', 'This can be a cache lookup, so it can be more reliable than scraping', ].join('\n'), inputs: ['url'], }, - server.js:683-686 (registration)The addTool call that registers the web_data_crunchbase_company tool using the dataset config.
addTool({ name: `web_data_${id}`, description, parameters: z.object(parameters),