# G2 Reviews Scraper + Insights Report (`berkaydev/g2-reviews-insights-scraper`) Actor Scrape reviews from any G2 product page, plus a free report on top: rating trends, top complaints and praise, vendor response rate, spike detection, B2B segment breakdown, and a comparison table for multiple products. Runs a real browser to get past G2's bot protection. - **URL**: https://apify.com/berkaydev/g2-reviews-insights-scraper.md - **Developed by:** [Berkay](https://apify.com/berkaydev) (community) - **Categories:** Business, Lead generation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 Most G2 scrapers hand you a pile of raw review rows and leave the analysis to you. This one returns the reviews and a ready-made report on top, so you can see what the data is telling you without building a pipeline first. Give it a product slug like `slack` or a full G2 URL. You get one row per review (rating, pros, cons, reviewer job title, company size, date, vendor reply) plus a report: rating trends by month, the words that come up most in good and bad reviews, vendor response rate, suspicious volume spikes, and a breakdown of how Enterprise buyers rate the product versus small business. Scrape several products and you get a side-by-side comparison too. Under the hood it runs a real browser through a residential proxy, which is what it takes to get past G2's bot protection. A residential proxy is required (see the note under Pricing). To try it, put `slack` in the Product URLs field and hit Start. ### G2 review insights report: complaint analysis, B2B segments, and competitor comparison The built-in insights report turns raw reviews into answers: a complaint and praise keyword analysis, ratings broken down by company size and job role, vendor response rate, suspicious-spike detection, and a side-by-side competitor review comparison when you scrape more than one product. ### What you get Two outputs per run. A dataset with one row per review. Download as JSON, CSV, Excel, or XML, or pull through the Apify API. A report in the key-value store: - `REPORT` is an HTML file. Open it in any browser. - `INSIGHTS` is the same data as JSON for programmatic use. The report covers: - Average rating, star breakdown with percentages, and what share of reviewers are verified. - How often the vendor responds. - Rating by month with spike detection — months where volume is three times the usual median get flagged. - Top 15 words and phrases from low-star reviews. The complaints. - Top 15 from high-star reviews. The praise. - Ratings broken down by company size (Small-Business, Mid-Market, Enterprise) and by job role. - A comparison table across products when you scrape more than one. ### How it compares | | This actor | Typical scraper | |---|---|---| | Ready-made insights report | yes | no | | Rating breakdown by company size and job role | yes | no | | Complaint and praise keyword mining | yes | no | | Multi-product comparison in one run | yes | rarely | | Suspicious-spike detection | yes | no | | Pros and cons as separate fields | yes | sometimes | | Gets past G2's bot protection | real browser + IP rotation | varies | Common uses: - Competitive intelligence for SaaS products. - Tracking your own product's G2 reputation over time. - Pulling out recurring complaints before a product review cycle. - Checking a vendor's reviews before a procurement decision. - Client reporting at agencies or consultancies. ### How to use it 1. Open the Input tab. 2. Put one or more G2 product slugs or URLs in Product URLs — for example `slack` or `https://www.g2.com/products/notion/reviews`. 3. Set Max reviews per product. Leave it at 0 for all of them, or set 25-100 for a quick test. 4. Filter by star rating if you want. 5. Hit Start. Reviews land in the Dataset tab. The report lands in the Key-value store tab under `REPORT`. ### Input | Field | Type | Default | What it does | |---|---|---|---| | `productUrls` | array (required) | `["slack"]` | G2 product URLs or slugs, one per line | | `maxReviewsPerProduct` | integer | 0 (all) | Cap per product | | `stars` | array | all | Keep only these star ratings | | `sort` | string | `most_recent` | `most_recent` or `most_helpful` | | `generateInsights` | boolean | true | Build the report after scraping | | `maxConcurrency` | integer | 1 | Parallel browser contexts | | `requestDelayMs` | integer | 500 | Wait between page fetches | | `proxyConfiguration` | object | Apify datacenter proxy | Proxy settings | #### Example input ```json { "productUrls": ["slack", "microsoft-teams"], "maxReviewsPerProduct": 200, "generateInsights": true } ```` ### Output One row per review: ```json { "reviewId": "abc123", "productName": "Slack", "productSlug": "slack", "rating": 4, "pros": "The channel organisation and integrations are excellent. Search works well across long histories.", "cons": "Gets expensive at scale. Notifications can be overwhelming without careful configuration.", "text": "The channel organisation... Gets expensive...", "publishedDate": "2024-09-12", "isVerified": true, "replyMessage": null, "reviewerName": "Jane D.", "reviewerRole": "Product Manager", "reviewerCompanySize": "Mid-Market", "helpfulVotes": 3, "reviewUrl": "https://www.g2.com/products/slack/reviews/slack-review-abc123" } ``` Key-value store: | Key | Type | What it is | |---|---|---| | `INSIGHTS` | application/json | Full analytics object per product plus comparison | | `REPORT` | text/html | The report. Open in a browser | #### Fields | Field | Type | Description | |---|---|---| | `reviewId` | string | G2 review ID | | `productName` | string | Product display name | | `productSlug` | string | G2 product slug | | `rating` | integer | Star rating (1 to 5) | | `pros` | string | What the reviewer likes best | | `cons` | string | What the reviewer dislikes | | `text` | string | Combined text (pros + cons) for search | | `publishedDate` | ISO 8601 | Review date | | `isVerified` | boolean | Whether the reviewer is verified | | `replyMessage` | string | Vendor reply, null if none | | `reviewerName` | string | Reviewer display name | | `reviewerRole` | string | Job title | | `reviewerCompanySize` | string | Small-Business, Mid-Market, or Enterprise | | `helpfulVotes` | integer | Helpful vote count, when shown | | `reviewUrl` | string | Direct link to the review | ### Pricing A $0.02 base fee per successful run, plus $0.004 per review. The base fee covers the residential-proxy and browser work needed to get past G2's bot protection. If a run returns no reviews, you are not charged at all. | Reviews (one run) | Cost | |---|---| | 25 | $0.12 | | 100 | $0.42 | | 1,000 | $4.02 | | 10,000 | $40.02 | The insights report is always included. You pay for the run and the reviews, not for the analysis. Note on proxy: this actor needs a residential proxy because G2 uses DataDome, which blocks datacenter IPs. Residential proxy requires a paid Apify plan (the free plan includes 20 GB of residential traffic per month). ### Tips - For competitive benchmarking, put 3-5 competitor slugs in the list and set `maxReviewsPerProduct` to 200-500. The comparison table in the report gives you a quick side-by-side. - To find recurring complaints, look at `topConsTerms` in the G2 extras section of INSIGHTS. - For segment analysis, check `segmentByCompanySize` — if Enterprise users rate it lower than SMB, that is worth knowing before a procurement decision. - For rep tracking, schedule the run monthly with Apify's scheduler and compare the monthly INSIGHTS files over time. ### FAQ **Is scraping G2 legal?** G2 is a public website. Scraping public, non-login data for research, competitive analysis, or your own use is generally acceptable in most jurisdictions. Don't collect personal data without a legal basis or breach G2's terms. **Why are some fields empty?** G2's page layout varies by product and A/B test. The actor returns null for anything it can't find rather than crashing, and logs a short diagnostic line on the first page (page title, cards found, a sample reviewer role) so you can see what it parsed. **I got fewer reviews than expected, or zero.** G2 uses DataDome, which CAPTCHA-walls a share of proxy IPs. The actor rotates to a fresh residential IP and retries up to five times, so most runs get through, but a heavy IP can occasionally block a whole run (you are not charged when that happens). It can also block mid-run on a later page, in which case you keep the reviews collected so far. If you see this a lot, raise `requestDelayMs` to 1000 or 2000. A residential proxy is required; datacenter IPs are always blocked. **What B2B breakdowns does the report include?** Ratings broken down by company size (Small-Business, Mid-Market, Enterprise) and by reviewer job role, plus separate top-terms lists for pros and cons. These appear in the HTML report under each product and in the `g2Extras` key of the INSIGHTS JSON. **Issues or feature requests?** Use the Issues tab on the actor page. # Actor input Schema ## `productUrls` (type: `array`): G2 product review page URLs or bare slugs to scrape. Examples: 'slack', 'https://www.g2.com/products/slack/reviews'. One per line. ## `maxReviewsPerProduct` (type: `integer`): Maximum number of reviews to scrape per product. Set to 0 for unlimited. ## `stars` (type: `array`): Only return reviews with these star ratings. Leave empty for all ratings. ## `sort` (type: `string`): Sort reviews by recency or helpfulness. ## `generateInsights` (type: `boolean`): Compute an analytics/insights report after scraping: rating trends, top complaint/praise keywords, response rate, suspicious spikes, B2B segment breakdown, and multi-product comparison. Written to key-value store as JSON (INSIGHTS) and HTML (REPORT). ## `proxyConfiguration` (type: `object`): Apify proxy settings. Residential proxy is required: G2 is protected by DataDome, which blocks datacenter IPs. Residential needs a paid Apify plan (the free plan includes 20 GB/month). ## `maxConcurrency` (type: `integer`): Number of parallel browser contexts. Higher values use more memory. ## `requestDelayMs` (type: `integer`): Milliseconds to wait between page fetches within a product. Raise it to be more polite. ## `maxRunTimeSecs` (type: `integer`): Internal run deadline. The actor will flush collected data and exit cleanly before this limit. ## Actor input object example ```json { "productUrls": [ "slack" ], "maxReviewsPerProduct": 25, "stars": [], "sort": "most_recent", "generateInsights": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 1, "requestDelayMs": 500, "maxRunTimeSecs": 3000 } ``` # Actor output Schema ## `reviews` (type: `string`): One row per scraped G2 review: rating, pros, cons, reviewer role and company size, vendor reply, and dates. ## `report` (type: `string`): Ready-to-read report: rating trends, complaint and praise keywords, vendor response rate, spike detection, and a breakdown by company size and job role. ## `insights` (type: `string`): The full analytics object behind the report, machine-readable for your own pipelines. # 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": [ "slack" ], "maxReviewsPerProduct": 25, "generateInsights": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("berkaydev/g2-reviews-insights-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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": ["slack"], "maxReviewsPerProduct": 25, "generateInsights": True, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("berkaydev/g2-reviews-insights-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 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": [ "slack" ], "maxReviewsPerProduct": 25, "generateInsights": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call berkaydev/g2-reviews-insights-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=berkaydev/g2-reviews-insights-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "G2 Reviews Scraper + Insights Report", "description": "Scrape reviews from any G2 product page, plus a free report on top: rating trends, top complaints and praise, vendor response rate, spike detection, B2B segment breakdown, and a comparison table for multiple products. Runs a real browser to get past G2's bot protection.", "version": "0.1", "x-build-id": "B71rqMF3D07DPdeSF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/berkaydev~g2-reviews-insights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-berkaydev-g2-reviews-insights-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/berkaydev~g2-reviews-insights-scraper/runs": { "post": { "operationId": "runs-sync-berkaydev-g2-reviews-insights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/berkaydev~g2-reviews-insights-scraper/run-sync": { "post": { "operationId": "run-sync-berkaydev-g2-reviews-insights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "productUrls" ], "properties": { "productUrls": { "title": "Product URLs / Slugs", "type": "array", "description": "G2 product review page URLs or bare slugs to scrape. Examples: 'slack', 'https://www.g2.com/products/slack/reviews'. One per line.", "items": { "type": "string" } }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to scrape per product. Set to 0 for unlimited.", "default": 0 }, "stars": { "title": "Filter by star rating", "type": "array", "description": "Only return reviews with these star ratings. Leave empty for all ratings.", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5" ], "enumTitles": [ "1 star", "2 stars", "3 stars", "4 stars", "5 stars" ] }, "default": [] }, "sort": { "title": "Sort order", "enum": [ "most_recent", "most_helpful" ], "type": "string", "description": "Sort reviews by recency or helpfulness.", "default": "most_recent" }, "generateInsights": { "title": "Generate insights report", "type": "boolean", "description": "Compute an analytics/insights report after scraping: rating trends, top complaint/praise keywords, response rate, suspicious spikes, B2B segment breakdown, and multi-product comparison. Written to key-value store as JSON (INSIGHTS) and HTML (REPORT).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. Residential proxy is required: G2 is protected by DataDome, which blocks datacenter IPs. Residential needs a paid Apify plan (the free plan includes 20 GB/month).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxConcurrency": { "title": "Max concurrent requests", "minimum": 1, "maximum": 5, "type": "integer", "description": "Number of parallel browser contexts. Higher values use more memory.", "default": 1 }, "requestDelayMs": { "title": "Delay between page requests (ms)", "minimum": 0, "type": "integer", "description": "Milliseconds to wait between page fetches within a product. Raise it to be more polite.", "default": 500 }, "maxRunTimeSecs": { "title": "Max run time (seconds)", "minimum": 60, "maximum": 3500, "type": "integer", "description": "Internal run deadline. The actor will flush collected data and exit cleanly before this limit.", "default": 3000 } } }, "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 } } } } } } } } } } ```