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web_data_facebook_company_reviews

Extract structured Facebook company reviews data using a valid URL and review count. This tool provides reliable access to review information without direct scraping.

Instructions

Quickly read structured Facebook company reviews data. Requires a valid Facebook company URL and number of reviews. This can be a cache lookup, so it can be more reliable than scraping

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
num_of_reviewsYes

Implementation Reference

  • Generic handler for the web_data_facebook_company_reviews tool. It triggers a dataset collection on BrightData using the specific dataset_id, polls the snapshot status up to 600 times (1s intervals), reports progress if available, and returns the JSON string of the collected data or throws timeout/error.
    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 ${max_attempts} seconds waiting `
            +`for data`);
    }),
  • Dataset configuration defining the id 'facebook_company_reviews', associated dataset_id, tool description, and input parameters (url: string url, num_of_reviews: string) used to build the tool schema.
    {
        id: 'facebook_company_reviews',
        dataset_id: 'gd_m0dtqpiu1mbcyc2g86',
        description: [
            'Quickly read structured Facebook company reviews data.',
            'Requires a valid Facebook company URL and number of reviews.',
            'This can be a cache lookup, so it can be more reliable than scraping',
        ].join('\n'),
        inputs: ['url', 'num_of_reviews'],
    }, {
  • server.js:674-745 (registration)
    Dynamic registration loop that iterates over datasets (including facebook_company_reviews), builds Zod schema from inputs, constructs tool name 'web_data_facebook_company_reviews', description, parameters, and registers the tool using server.addTool.
    for (let {dataset_id, id, description, inputs, defaults = {}} of datasets)
    {
        let parameters = {};
        for (let input of inputs)
        {
            let param_schema = input=='url' ? z.string().url() : z.string();
            parameters[input] = defaults[input] !== undefined ?
                param_schema.default(defaults[input]) : param_schema;
        }
        addTool({
            name: `web_data_${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`);
            }),
        });
    }
  • Helper wrapper function applied to all tools, including web_data_facebook_company_reviews, that implements rate limiting, usage statistics tracking, request/response logging, error reporting with HTTP details, and execution timing.
    function tool_fn(name, fn){
        return async(data, ctx)=>{
            check_rate_limit();
            debug_stats.tool_calls[name] = debug_stats.tool_calls[name]||0;
            debug_stats.tool_calls[name]++;
            debug_stats.session_calls++;
            let ts = Date.now();
            console.error(`[%s] executing %s`, name, JSON.stringify(data));
            try { return await fn(data, ctx); }
            catch(e){
                if (e.response)
                {
                    console.error(`[%s] error %s %s: %s`, name, e.response.status,
                        e.response.statusText, e.response.data);
                    let message = e.response.data;
                    if (message?.length)
                        throw new Error(`HTTP ${e.response.status}: ${message}`);
                }
                else
                    console.error(`[%s] error %s`, name, e.stack);
                throw e;
            } finally {
                let dur = Date.now()-ts;
                console.error(`[%s] tool finished in %sms`, name, dur);
            }
        };
    }

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