# G2 Review Delta Scraper (`taroyamada/g2-review-delta-intelligence`) Actor Track visible G2 review and rating deltas for software products, with themes, competitor notes, and warning rows when pages are limited. - **URL**: https://apify.com/taroyamada/g2-review-delta-intelligence.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 results 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 ## G2 Review Delta Scraper SaaS product marketing, competitive intelligence, customer success, and RevOps teams use this actor to turn Official G2 API when supplied by the user, otherwise conservative public page fallback into a clean dataset for G2/Capterra Competitive Review Delta. Provide focused source inputs, keep the first run small, and expand only after the output shape is useful. Each emitted row includes source context, timestamps, and fields designed for monitoring, QA, research, or workflow handoff. ### Store Quickstart Start with one G2 product review URL and keep blocked-page summary rows enabled so the first run is auditable. Recommended first run: ```json { "productUrls": [ "https://www.g2.com/products/slack/reviews" ], "productNames": [], "emitSummaryOnBlocked": true, "limit": 25, "delivery": "dataset", "dryRun": false } ```` ### Input examples #### Public product page ```json { "productUrls": [ "https://www.g2.com/products/slack/reviews" ], "productNames": [], "emitSummaryOnBlocked": true, "limit": 25, "delivery": "dataset", "dryRun": false } ``` #### Name-based watch ```json { "productUrls": [], "productNames": [ "Slack" ], "emitSummaryOnBlocked": true, "limit": 10, "delivery": "dataset", "dryRun": false } ``` #### Webhook summary ```json { "productUrls": [ "https://www.g2.com/products/slack/reviews" ], "emitSummaryOnBlocked": true, "limit": 10, "delivery": "webhook", "webhookUrl": "https://example.com/webhook", "dryRun": false } ``` ### Sample output ```json { "meta": { "actorName": "g2-review-delta-intelligence", "actorTitle": "G2 Review Delta Scraper", "bundle": "G2/Capterra Competitive Review Delta", "fetchedAt": "2026-05-06T00:00:00.000Z", "totalRows": 1 }, "rows": [ { "actorName": "g2-review-delta-intelligence", "rowType": "g2_review_delta", "productName": "Example SaaS", "ratingHints": [ "4.5" ], "reviewThemes": [ "ease of use", "support" ], "competitorHints": [ "alternative mentioned" ], "sourceUrl": "https://www.g2.com/products/example/reviews", "fetchedAt": "2026-05-06T00:00:00.000Z" } ], "warnings": [] } ``` ### Output fields - `rowType` - `productName` - `ratingHints` - `reviewCountHints` - `reviewThemes` - `competitorHints` - `confidence` - `sourceUrl` - `warnings` Rows also include source URLs, fetch timestamps, warnings when a source is partial, and stable IDs when the workflow supports recurring change detection. ### Pricing and no-change runs $0.001 actor start and $0.006 per emitted product or review-delta row. Blocked-page warning summaries should stay explicitly marked. The default dataset is the billable surface. Dry runs, validation-only runs, missing-key warnings, and unchanged recurring polls should not write payable default-dataset rows. ### Compliance guardrails - Use official G2 API access when available. - Public fallback must not bypass access controls. - Do not imply G2 endorsement or completeness. - Do not use provider emblems or wording that implies approval by an upstream data provider. ### See also - [app-release-review-regression-monitor](https://apify.com/taroyamada/app-release-review-regression-monitor) - [youtube-channel-transcript-rag-intelligence](https://apify.com/taroyamada/youtube-channel-transcript-rag-intelligence) # Actor input Schema ## `productUrls` (type: `array`): Public G2 product or review URLs. ## `productNames` (type: `array`): Optional product names used when URLs are not available. ## `emitSummaryOnBlocked` (type: `boolean`): Emit a clearly marked summary row if G2 blocks HTML retrieval. ## `limit` (type: `integer`): Maximum rows to emit. ## `delivery` (type: `string`): Where to send results. ## `webhookUrl` (type: `string`): Required when delivery=webhook and dryRun=false. Dry runs skip webhook delivery. ## `dryRun` (type: `boolean`): When true, emits deterministic sample rows and skips live fetch, dataset writes, and webhook posts. ## Actor input object example ```json { "productUrls": [ "https://www.g2.com/products/slack/reviews" ], "productNames": [], "emitSummaryOnBlocked": true, "limit": 25, "delivery": "dataset", "webhookUrl": "", "dryRun": false } ``` # 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 = { "productUrls": [ "https://www.g2.com/products/slack/reviews" ], "productNames": [] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/g2-review-delta-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 = { "productUrls": ["https://www.g2.com/products/slack/reviews"], "productNames": [], } # Run the Actor and wait for it to finish run = client.actor("taroyamada/g2-review-delta-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 '{ "productUrls": [ "https://www.g2.com/products/slack/reviews" ], "productNames": [] }' | apify call taroyamada/g2-review-delta-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/g2-review-delta-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "G2 Review Delta Scraper", "description": "Track visible G2 review and rating deltas for software products, with themes, competitor notes, and warning rows when pages are limited.", "version": "0.1", "x-build-id": "LYqLEFs8dOdpa5B7O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~g2-review-delta-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-g2-review-delta-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~g2-review-delta-intelligence/runs": { "post": { "operationId": "runs-sync-taroyamada-g2-review-delta-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~g2-review-delta-intelligence/run-sync": { "post": { "operationId": "run-sync-taroyamada-g2-review-delta-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "productUrls": { "title": "Product URLs", "type": "array", "description": "Public G2 product or review URLs.", "default": [ "https://www.g2.com/products/slack/reviews" ], "items": { "type": "string" } }, "productNames": { "title": "Product names", "type": "array", "description": "Optional product names used when URLs are not available.", "default": [], "items": { "type": "string" } }, "emitSummaryOnBlocked": { "title": "Emit summary on blocked fetch", "type": "boolean", "description": "Emit a clearly marked summary row if G2 blocks HTML retrieval.", "default": true }, "limit": { "title": "Result limit", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum rows to emit.", "default": 25 }, "delivery": { "title": "Delivery", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Where to send results.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Required when delivery=webhook and dryRun=false. Dry runs skip webhook delivery.", "default": "" }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "When true, emits deterministic sample rows and skips live fetch, dataset writes, and webhook posts.", "default": false } } }, "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 } } } } } } } } } } ```