G2 & Capterra Reviews Scraper: Ratings & Products

Add a G2 or Capterra product and get its public reviews as clean rows with ratings, pros, cons, dates and company size, plus product data.

You need no login or API key. The first run reads 5 G2 reviews from one page, and it costs $0.04 on the Free plan.

Table of contents

• What it does
• How it works
• Quick start
• Use cases
• Input
• Output
• Pricing
• Limits
• API, export and integrations
• Troubleshooting
• FAQ
• Related Actors
• Support

What it does

This G2 reviews scraper and Capterra review scraper reads public product pages. It saves one row per review, with the rating, title, pros, cons, date and the public reviewer details that the source shows.

It can also return product details, find G2 products by keyword or category, and compare products. It does not export reviewer names, photos, profile links or contacts.

G2 shows only 100 reviews for one list. For bigger requests, the Actor reads many filtered lists to reach older reviews. This gets far more than 100 reviews, but it does not promise every review of a large product. Each deep run reports how many reviews the source has and how many you got.

Good fit

• Read what customers say about your product or a competitor, with ratings and full text.
• Pull reviews from one segment, for example small business reviews from North America.
• Watch a product and get only new reviews on each scheduled run.
• Compare the rating, review count and price of several products.

👉 Try it now: open the input form

How it works

1. You add product links, a G2 keyword or a G2 category. The Actor opens the public pages of that source.
2. It reads the reviews or product details, applies your filters, and removes duplicates.
3. It saves rows to the Dataset. It also saves a run summary and one report per product, which state what was read and why the run stopped.

👉 Try it now: open the input form

Quick start

1. Open the Input tab. The form already holds a Slack link in Product URLs or G2 slugs (box 1). Replace it with your product, or keep it for a test.

2. Keep 5 in Maximum reviews per product (box 2) for the first run.

3. Keep G2 in Review platform (box 3), or choose Capterra for a Capterra link.

4. Click Start.

5. Open the Output tab and check the rating, title, pros and date columns.

   

Expected result: 5 review rows and 1 statistics row, usually in 10–90 seconds. A slow G2 page can stretch this to about 3 minutes.

👉 Try it now: open the input form

Use cases

Buyer job	Input path	Output entity	Key fields	Next integration
Export the reviews of one product	productUrls, maxReviews	Review rows	rating, title, pros, cons, date	CSV, Google Sheets, BI tool
Study one customer segment	companySize, region, industry, starRatings	Filtered review rows	companySize, region, industry, rating	CSV, API
Get new reviews on a schedule	onlyNew, stateName	New review rows	reviewId, date, rating, text	Schedule, webhook, Slack or Notion
Build a list of products in a category	mode, searchQuery or categoryUrls	Product rows	product, aggregateRating, reviewCount, url	CSV, CRM import
Compare products	mode, productUrls	Product rows and one comparison row	product, aggregateRating, reviewCount, pricing	API, spreadsheet

👉 Try it now: open the input form

Input

Input fields

Field	Plain name	Type	Required	Default / prefill	Allowed values	Effect	Example	Recommendation
mode	What to collect	string	no	reviews	reviews, products, search, category, compare	Chooses the result type	reviews	Start with reviews
platform	Review platform	string	no	g2	g2, capterra, auto	Chooses the site	capterra	Use auto for links from both sites
productUrls	Product links	array of strings	yes for reviews, products, compare	prefill: Slack on G2	Up to 20 links, G2 slugs or numeric Capterra IDs	Sets the products to read	["slack"], ["135003"] with capterra	Duplicate values are read once
searchQuery	Product search	string	yes for search	none	Up to 200 characters	Finds G2 products	CRM	G2 only
categoryUrls	Category links	array of strings	yes for category	none	Up to 20 G2 category links	Lists G2 category products	["https://www.g2.com/categories/crm"]	G2 only
maxReviews	Maximum reviews per product	integer	no	default 10, prefill 5	1–5000	Stops after this many matching reviews	100	Above 100 on G2, raise the run Timeout
maxProducts	Maximum products	integer	no	10	1–10	Limits search and category results	5	Lower it to spend less
sortReviews	Review order	string	no	newest	newest, helpful, rating_high, rating_low	Sets the order	helpful	Above 100 G2 reviews the order is not strict
starRatings	Star ratings	array of strings	no	[]	"1"–"5"	Keeps these star groups	["1","2"]	Group 5 on G2 includes 4.5
publishedAfter	Reviews on or after	string	no	none	YYYY-MM-DD	Keeps newer reviews	2026-01-01	Good for recent reviews
publishedBefore	Reviews on or before	string	no	none	YYYY-MM-DD	Keeps older reviews	2020-01-01	Old dates on G2 read filtered lists
reviewSearch	Words in review	string	no	none	Text	Keeps reviews with every word	pricing support	Rare words need more pages
companySize	Company size contains	string	no	none	Text	Keeps this size	Small-Business	On G2, Small-Business and Mid-Market filter at the source
reviewerRole	Reviewer role contains	string	no	none	Text	Keeps this role	Marketing	Reviews with no role do not match
industry	Industry contains	string	no	none	Text	Keeps this industry	Marketing and Advertising	Reviews with no industry do not match
region	Region contains	string	no	none	Text	Keeps this region	North America	Exact G2 names filter at the source and fill the column
includeInsights	Add review statistics	boolean	no	true	true, false	Adds one free statistics row per product	true	Turn off if you need review rows only
onlyNew	Only new reviews	boolean	no	false	true, false	Returns reviews not seen before	true	The first run builds the history
stateName	History store name	string	no	none	Lowercase letters, digits, hyphens	Keeps a separate history	slack-monitor	Use one name per watch
maxPages	Maximum pages per product	integer	no	maxReviews / 4, at least 20	1–2000	Stops after this many pages	50	Raise it for a rare filter or old dates
transport	Connection route	string	no	auto	auto, direct, unblocker	Forces one route	auto	Keep auto
deliveryConnector	Send results to	string	no	none	Your MCP connector	Posts a short summary after the run	Your Slack connector	Optional
deliveryTarget	Notion page or channel	string	no	none	Notion page link or Slack channel ID	Sets where the summary goes	C0123456789	Optional

An empty productUrls in reviews, products or compare mode stops the run with PRODUCT_URLS_REQUIRED.

Interacting settings

When	Input A	Input B	Effective behavior	Example	Cost/result effect
Big G2 request	maxReviews above 100	publishedAfter is empty	Reads filtered lists to reach older reviews, and the order is no longer strict	maxReviews: 1000	About 7 reviews per paid page
Old date on G2	publishedBefore	newest pages are all later	Skips to filtered lists	publishedBefore: 2020-01-01	More pages per row, narrow windows may return nothing
Rare filter	reviewSearch, industry or reviewerRole	maxPages	Stops at the page limit when few reviews match	20 pages by default	Each page read is charged
Monitoring	onlyNew	sortReviews	Newest order is used, and a full page of known reviews ends the check	Repeat run	Usually 1 page
Monitoring	onlyNew with history	maxReviews above 100	Filtered lists are not read	Repeat run	Usually 1 page
Mixed links	platform: auto	productUrls	Each link goes to its own site	G2 and Capterra	Pages of both sites are charged
Capterra link	platform: g2	productUrls	The run stops with an input error	Choose capterra or auto	$0.01 only
Discovery	mode: search	platform: capterra	The run stops with an input error	Choose G2 or Auto	$0.01 only

Input examples

First test

{
  "productUrls": ["https://www.g2.com/products/slack/reviews"],
  "maxReviews": 5
}

Expected behavior: reads one G2 page and stops at 5 reviews. Expected output: 5 review rows with rating, title, pros, cons and date, plus 1 statistics row. Limit or cost note: 1 page, $0.04 on the Free plan.

Older G2 reviews

{
  "productUrls": ["calendly"],
  "maxReviews": 1000
}

Expected behavior: reads filtered lists, so the reviews are not in date order. Expected output: review rows from many years. A test reached reviews from 2015. Limit or cost note: set a higher run Timeout and a spending limit. Expect about 7 reviews per paid page.

Filtered segment

{
  "productUrls": ["calendly"],
  "maxReviews": 30,
  "industry": "Marketing and Advertising",
  "region": "North America",
  "companySize": "Small-Business",
  "starRatings": ["5"]
}

Expected behavior: applies the filters at the source where it can, and checks the rest on the saved reviews. Expected output: reviews that match every filter, with ratings of 4.5 and 5. Limit or cost note: filtered runs took from under a minute to about 4 minutes in tests.

Capterra reviews

{
  "platform": "capterra",
  "productUrls": ["https://www.capterra.ca/software/135003/slack"],
  "maxReviews": 25
}

Expected behavior: reads public regional pages. A page usually holds 25 reviews. Expected output: review rows with subRatings, timeUsedProduct and country. Limit or cost note: about $1.2 per 1,000 reviews on the Free plan.

Only new reviews

{
  "productUrls": ["slack"],
  "maxReviews": 5,
  "onlyNew": true,
  "stateName": "slack-monitor"
}

Expected behavior: the first run saves 5 reviews and remembers every review on the pages it read. Later runs return new reviews only. Expected output: new review rows, or no rows when nothing changed. Limit or cost note: an unchanged check reads 1 page, $0.04 on the Free plan.

👉 Try it now: open the input form

Output

Output fields

Most fields are null when the source does not show them or when they do not apply to this row type. null never means zero.

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
rowType	Row type	string	no	review, product, insights, comparison, status	One value per row
status	Row status	string	no	complete, partial, not_found	not_found is a free status row
platform	Source site	string	no	g2, capterra	From the link
product	Product name	string	conditional	Slack	Shown by the source
productId	Source product ID	string	yes	3437	When available
reviewId	Review ID	string	review rows only	13975273	Stable, used for onlyNew
rating	Review score, 0–5	number	review rows only	4.5	G2 half stars are kept
recommendationRating	Recommendation score, 0–10	number	yes	8	0 is a real score
title	Review title	string	yes	Quick Huddles and Team Chat	Capterra rating-only reviews can have none
pros	What the reviewer likes	string	yes	I like using Slack…
cons	What the reviewer dislikes	string	yes	I think Slack Huddles…
problemsSolved	Problems solved or overall experience	string	yes	I use Slack to connect…
text	All answers as plain text	string	yes	What do you like best…	Capterra rating-only reviews can have none
questions	Questions and answers	array	yes	[{"question":…,"answer":…}]	All public sections
reviewerRole	Job title or role	string	yes	Agency Owner	Not on every review
companySize	Size or segment	string	yes	Mid-Market (51-1000 emp.)	Wording differs by site
industry	Reviewer industry	string	yes	Marketing and Advertising	Not on every review
region	Reviewer region	string	yes	North America	On G2, filled mostly in filtered lists
country	Reviewer country code	string	yes	US	When shown
date	Review date	string	yes	2026-11-04	YYYY-MM-DD
submittedAt	Exact publish time, UTC	string	yes	2026-11-04T12:24:30.000Z	G2 only. Can be a day away from date, which is the date G2 shows. Empty when two reviews on a page share a title
updatedAt	Exact last-change time, UTC	string	yes	2026-11-04T12:24:30.000Z	G2 only. Taken as G2 gives it, so it can be earlier than submittedAt. Empty when two reviews on a page share a title
subRatings	Scores by aspect	object	yes	{"easeOfUse":5,"functionality":5}	Mostly on Capterra
verified	Verified label	boolean	yes	true	Often empty on Capterra
currentUser	Current user label	boolean	yes	true	G2 only
validationMethod	How the review was checked	string	yes	LinkedIn, a business email account	When shown
incentive	Incentive note	string	yes	Organic review…	Source wording
reviewSource	How it was collected	string	yes	Organic	Source label
timeUsedProduct	Time with the product	string	yes	2+ years	When shown
switchedFrom	Previous product	string	yes		Rare: empty in all 1,670 reviews of our two largest test sets
switchingReason	Reason for the switch	string	yes		Rare, same as switchedFrom
vendorResponse	Vendor reply	string	yes		Rare, same as switchedFrom
url	Link to the review or product	string	no	https://www.g2.com/products/slack/reviews/…	Public link
sourceUrl	Page that was read	string	no	https://www.capterra.ca/…	Shows the regional site
fetchedAt	Read time, UTC	string	no	2026-11-04T14:19:15.206Z
description	Product description	string	yes		Product rows
category	Product category	string	yes	CRM	Product rows
aggregateRating	Overall rating	number	yes	4.4	Product rows
reviewCount	Reviews on the source	number	yes	27587	Product rows
pricing	Public price offers	array	yes	[{"price":20,"currency":"USD","name":"Sales Hub Starter"}]	A missing price is null, not zero
alternatives	Other product links on the page	array	yes		Not a full list of alternatives
sourceThemes	Themes published by G2	array	yes	["Ease of Use (3620)"]	Statistics row
sourceSummary	Summary published by G2	string	yes		Written by G2, not by this Actor
sampleSize	Reviews in the statistics	number	statistics row only	5	This run's reviews only
averageRating	Average of those reviews	number	statistics row only	4.8	Not the product's overall rating
ratingDistribution	Count by star group	object	statistics row only	{"0":0,"1":0,"2":0,"3":0,"4":1,"5":4}	This run's reviews only. Group 0 holds reviews rated 0
complaintTerms	Frequent words in cons	array	statistics row only	[{"term":"music","count":1}]	Simple word counts for this set, not an opinion
products	Compared products	array	comparison row only		compare mode

Output entities and surfaces

Situation	Dataset/API/KVS/live view	Result shape	User action
Normal item	Dataset, views reviews and products	One row per review or product	Open the Output tab or export
Domain-empty result	Dataset is empty or holds one status row; REPORTS in the Key-value store	NO_MATCHING_REVIEWS, NO_NEW_REVIEWS or not_found	Check the link and the filters
Partial result	Dataset keeps the saved rows; RUN_SUMMARY and REPORTS	partial with PAGE_LIMIT, DEADLINE, CHARGE_LIMIT or SOURCE_LIMIT	Read stopReason and raise that limit
Technical failure or retry	Run status FAILED; RUN_SUMMARY holds the error code	error and a code such as SOURCE_ERROR	Retry later, and open an Issue with the run ID if it repeats

status: complete with stopReason: REVIEW_LIMIT means you got the number you asked for, and the source has more. In a deep G2 run, sourceReviewCount in REPORTS shows how many reviews the source reports, so you can compare it with deliveredReviews.

Output example

This is one review row from the first test above. It is trimmed: pros, cons, problemsSolved, questions and text are cut, and some empty fields are hidden.

{
  "rowType": "review",
  "status": "complete",
  "platform": "g2",
  "product": "Slack",
  "productId": "3437",
  "reviewId": "13975273",
  "rating": 4,
  "recommendationRating": 8,
  "title": "Quick Huddles and Team Chat, with Room for Better Music",
  "pros": "I like using Slack for quick huddles to resolve issues…",
  "cons": "I think Slack Huddles need more music…",
  "reviewerRole": null,
  "companySize": "Mid-Market (51-1000 emp.)",
  "industry": null,
  "region": null,
  "date": "2026-11-04",
  "submittedAt": "2026-11-04T12:24:30.000Z",
  "updatedAt": "2026-11-04T12:24:30.000Z",
  "verified": true,
  "reviewSource": "Organic",
  "url": "https://www.g2.com/products/slack/reviews/slack-review-13975273",
  "fetchedAt": "2026-11-04T14:19:15.206Z"
}

Here reviewerRole, industry and region are null because this review does not show them in this list.

Send results to Slack or Notion

Pick your connector in the optional deliveryConnector field. After the run saves its data, the Actor posts a short summary (up to 25 rows and a link to the full dataset) there. Put a Notion page link or a Slack channel ID in deliveryTarget: in Notion every run is added on top of that one page, so your workspace does not fill up with new pages. A delivery error never fails the run and costs nothing extra. Connect a service once in Apify Console → MCP connectors.

Use case → fields

Buyer job	Input path	Output entity	Key fields	Next integration
Voice of customer	productUrls, maxReviews	Review rows	pros, cons, problemsSolved, rating	CSV, BI tool
Segment research	companySize, region, industry	Review rows	companySize, region, industry, reviewerRole	CSV, API
Review monitoring	onlyNew, stateName	New review rows	reviewId, date, rating, vendorResponse	Schedule, Slack or Notion
Market map	searchQuery, categoryUrls	Product rows	product, aggregateRating, reviewCount, url	CRM import

👉 Try it now: open the input form

Pricing

Pricing unit

You pay per source page read, not per row. Rows, statistics and comparison rows are free. There are two events:

Event	When it is charged	Free	Bronze	Silver	Gold and above
Run preparation	Once per run, including invalid input	$0.01	$0.01	$0.01	$0.01
Source page	Each page read and checked successfully	$0.03	$0.027	$0.024	$0.021

A G2 page gives 8–10 new reviews in a normal run and about 7 in a deep run. A Capterra page gives up to 25. A page is the smallest unit, so one review costs the same as a full page. If you need only a few rows from many products, a price per row may suit you better.

Run preparation is a flat $0.01 and does not grow with run memory. Apify platform usage is included, so you do not pay for it separately.

• Valid run with no reviews: you pay for the pages read.
• Filter with no matches: you pay for every page checked, up to maxPages. With the default this is 20 pages, $0.61 on the Free plan.
• Unchanged monitoring run: 1 page, $0.04 on the Free plan.
• Partial run: you pay for the pages that were checked. Rows stay in the Dataset.
• Failed run or failed page: you pay $0.01 and any pages read before the failure. A failed page is free.
• Product page not found: the checked page is charged, and the status row is free.

Cost examples

These are measured page counts. The charge uses the Free plan price.

Scenario	Input scope	Expected item/event count	Base charge	Optional charge	Stop/cap behavior
First test	5 G2 reviews	1 page, 5 reviews	$0.04	none	Stops at maxReviews
Normal	100 G2 reviews	11–12 pages	$0.34–$0.37	none	Stops at maxReviews
Older reviews in the default 300 seconds	maxReviews: 1000 on G2	Up to 133 pages and 922 reviews, fewer when pages are slow	Up to $4.00	none	Stops with DEADLINE
Older reviews with a longer Timeout	maxReviews: 1000 on G2, Timeout 900 seconds	142–145 pages, 1000 reviews	$4.27–$4.36	none	Stops at maxReviews
Spending limit	maxReviews: 1000 on G2, $2 limit, Bronze plan	73 pages, about 500 reviews	$1.98	none	Stops with CHARGE_LIMIT
Capterra	1000 reviews	41 pages	$1.24	none	Stops at maxReviews
Two products	Product details	2 pages	$0.07	none	One page per product
G2 search	CRM, 3 products	4 pages, 3 product rows	$0.13	none	Failed product pages are not charged
Filter with no matches	Rare word, default limit	20 pages	$0.61	none	Stops with PAGE_LIMIT
Invalid input	No product	0 pages	$0.01	none	Run fails at once

To control your spending, set Maximum cost per run in the run options. The Actor stops with CHARGE_LIMIT and keeps what it saved.

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Limits

• Full history is not promised. G2 shows 100 reviews per filter combination and sort order. The Actor combines many lists, but a very large product can hold reviews that no list shows. Compare sourceReviewCount with deliveredReviews in REPORTS.
• Deep G2 speed. Speed depends on how fast pages answer, and it varies a lot. Runs limited to about 275 seconds got 299–922 reviews, and runs reached 1000 reviews in 5–6.5 minutes. To be sure of more than about 100, raise the Timeout in the run options. The Actor stops about 25 seconds before the Timeout and keeps its rows.
• Slow pages. One G2 page usually takes a few seconds. A slow page that had to be retried took close to 3 minutes. In tests, 100 G2 reviews took about 1.5–5 minutes and 150 took about 3 minutes.
• Old date windows. A narrow old window on a large product is best-effort. It can spend paid pages and return few rows or none. Tests asking for 20 Slack reviews from before 2020 read 15–20 pages and returned 13–20 rows. Raise maxPages if you want a longer search.
• G2 star groups. Group 5 includes 4.5, and group 4 includes 3.5 and 4.0. The rating column keeps the exact value.
• Capterra. Reviews come from public regional pages (Canada, or the UK as a fallback), and their list can differ from the US site. Rating-only reviews are valid and can have an empty title and text. Category and keyword search work on G2 only.
• Input limits. productUrls up to 20, categoryUrls up to 20, maxReviews up to 5000, maxPages up to 2000, maxProducts up to 10. The Actor also stops at a request limit (REQUEST_LIMIT) and a data limit (BYTE_LIMIT), which grow with maxPages.
• Several products in one run are best-effort. If some products are saved and others fail, the run still ends as SUCCEEDED. Failed products are listed in REPORTS with status error and their pages are not charged. If you add one product and it fails, the run ends as FAILED.
• Memory. The default is 512 MB. 256 MB is too small for a big Capterra run.
• Only new reviews. The history stores the IDs of every review a run read, so a later run does not return older reviews that were read but not delivered, and it stops at the first page with a known review. Use one store name per search. If your store cannot be opened, the Actor warns you and uses its own separate store, so your first repeat run can return known reviews again.
• Not included. Private data, reviewer names, photos, profile links and contacts. Login is not supported.

👉 Try it now: open the input form

API, export and integrations

• API: this works as a G2 scraper API. Start a run with the same input JSON, then read rows from the Dataset endpoint. The reviews and csv links are on the Output tab.
• Export: JSON, CSV, Excel, XML and HTML from the Dataset. Use rating, date and text as main columns.
• Scheduling: save the input as a task with onlyNew and stateName, then add a schedule. Each run returns new reviews.
• Webhooks / no-code: use an Apify webhook or an integration to send rows after a run. The next system reads reviewId to avoid duplicates.
• SDK / MCP / agent: call the Actor from the Apify SDK or from the MCP server below.

Use with AI agents (MCP)

MCP server URL with only this Actor: https://mcp.apify.com?tools=cliqtomedia/software-reviews-scraper.

Smallest useful input:

{
  "productUrls": ["https://www.g2.com/products/slack/reviews"],
  "maxReviews": 5
}

Key output fields:

• rowType: tells review rows from statistics and product rows.
• rating: the review score from 0 to 5.
• pros and cons: the reviewer's own words.
• date: the review date.
• url: the public link to the review.

Typical first run: 10–90 seconds, sometimes up to about 3 minutes, and $0.04 on the Free plan. Limits: 20 products per run and 5000 reviews per product. Only the default 300-second Timeout applies unless you change it. It is enough for about 100 G2 reviews, and for more only when pages answer fast.

👉 Try it now: open the input form

Troubleshooting

I got fewer reviews than I asked for

Symptom: the run ended as partial with fewer rows. Likely reason: a limit stopped it. stopReason names the limit. Check: open RUN_SUMMARY and REPORTS in the Key-value store. Action: for DEADLINE, raise the Timeout. For PAGE_LIMIT, raise maxPages. For CHARGE_LIMIT, raise the cost limit. For SOURCE_LIMIT, the lists the source shows are used up.

The run returned no rows

Symptom: the run succeeded and the Dataset is empty. Likely reason: the filters match nothing, or onlyNew found nothing new. Check: read stopReason in RUN_SUMMARY. NO_NEW_REVIEWS means nothing changed since the last run. Action: loosen the filters or raise maxPages.

The run failed with SOURCE_ERROR

Symptom: run status FAILED, or a product has status error in REPORTS. Likely reason: the source blocked or did not answer after several attempts. Check: read the code in errors in RUN_SUMMARY. If the source returns nothing for 30 seconds and a product has failed, the other products are skipped and marked not_processed in REPORTS, with no page charges. Action: run again later and keep transport on auto. A made-up link can also end here, so check that it opens in a browser.

The run failed at once with an input error

Symptom: run status FAILED after a second, with a code such as PRODUCT_URLS_REQUIRED, SEARCH_REQUIRES_G2 or INVALID_G2_PRODUCT_URL. Likely reason: a required field is empty, or the link does not match platform. Check: compare your input with the examples above. Action: fix the input and start again. This attempt costs $0.01.

The product shows status not_found

Symptom: one status row with not_found. Likely reason: the source has no page at this link. Check: open the link in a browser. Action: copy the correct product link and run again.

Repeat runs return old reviews

Symptom: onlyNew returned reviews you already have. Likely reason: the stateName changed, or the store could not be opened. Check: read stateFallbacks in RUN_SUMMARY. Action: use the same name in every run, or choose a new name that belongs to you.

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FAQ

How do I scrape G2 reviews without a login?

Add the product link and click Start. The Actor reads public pages only. You need no G2 account, cookie or API key.

Does a run with no results cost money?

Yes. You pay for the pages that were checked, because the work was done. Use maxPages and the cost limit to set a ceiling. A rare filter on the default setting stops after 20 pages.

Why is the price per page and not per review?

Some runs check many pages and find few matching reviews. A price per page is the same for every filter. In a deep G2 run, one page gives about 7 reviews. Filtered or date-limited runs give fewer reviews per page.

Can I get all reviews of a product?

This is not promised. A test on Calendly asked for 1000 of its 2,679 reviews and got them in 5–6.5 minutes, dated from 2015 to 2026. Very large products can hold reviews that no G2 list shows. REPORTS shows the source total next to your count.

How fresh are the reviews?

Each run reads the live pages, so a review appears when the source publishes it. A test run returned a review dated the same day.

Why is a field empty?

The source does not show it for that review or in that list. null means "not shown". On G2, region is usually filled when you filter by an exact region name.

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Related Actors

• TrustRadius Reviews Scraper: Pros, Cons & Ratings: add a third software review source.
• Trustpilot Reviews Scraper - Ratings & Replies, No Login: add reviews from a company's general customers.
• Google Play Reviews Scraper: Ratings, Replies & Versions: read reviews of the same product's Android app.
• Apple App Store Reviews Scraper: Ratings & Review Text: read reviews of the same product's iOS app.
• Glassdoor Jobs & Reviews Scraper: see what employees say about the vendor.

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Support

For a bug, question or feature request, open the Actor's Issues tab on Apify. Include the run ID, the input mode and the error text. Never send tokens, cookies, billing data or private data.

👉 Try it now: open the input form