Bright Data Web MCP

Instructions

Implementation Reference

• server.js:687-743 (handler)

  Handler function that triggers the BrightData Datasets API v3 to collect Google Maps reviews data using dataset_id 'gd_luzfs1dn2oa0teb81', polls the snapshot status up to 600 times, and returns the collected JSON data.

  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:542-551 (schema)

  Dataset configuration specifying the tool name prefix 'google_maps_reviews', dataset_id, description, input parameters (url: string url, days_limit: string default '3'), used to dynamically generate the schema for web_data_google_maps_reviews.

      id: 'google_maps_reviews',
      dataset_id: 'gd_luzfs1dn2oa0teb81',
      description: [
          'Quickly read structured Google maps reviews data.',
          'Requires a valid Google maps URL.',
          'This can be a cache lookup, so it can be more reliable than scraping',
      ].join('\n'),
      inputs: ['url', 'days_limit'],
      defaults: {days_limit: '3'},
  }, {

• server.js:674-745 (registration)

  Dynamic registration loop that constructs and registers the web_data_google_maps_reviews tool (and others) by building name, schema from inputs/defaults, description, and handler from the datasets array entry.

  for (let {dataset_id, id, description, inputs, defaults = {}} of datasets)
  {
      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;
      }
      addTool({
          name: `web_data_${id}`,
          description,
          parameters: z.object(parameters),
          execute: tool_fn(`web_data_${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`);
          }),
      });
  }