Switching from All-in-One Review Scraper to Software Reviews Scraper
Software Reviews Scraper (arcadium/software-reviews) reads input written for zen-studio/software-review-scraper: 4 of its 6 input fields work as they are. Field list from its public input schema (build 0.0.118, 2026-10-31); prices and run results from the public Apify API, 2026-10-31.
Their fields that work as they are
| Their field | Type | Note |
|---|---|---|
query | string | As is |
platforms | array | Capterra is read; G2, TrustRadius, Gartner and Trustpilot are not sources of this actor. |
maxResults | integer | As is |
sort | string | highest_rated and lowest_rated fall back to newest first. |
Accepted without effect
These fields do not stop the run, but they change nothing here.
| Their field | Type | Note |
|---|---|---|
starRatings | array | No star filter here; every rating is returned. |
Their fields this actor does not read
feedback. Leave them out of the input; the actor’s own options are in the guide.
Side by side: their input, our rows
Input written for zen-studio/software-review-scraper, pasted unchanged:
{
"query": "Slack",
"platforms": [
"capterra"
],
"maxResults": 200,
"sort": "most_helpful"
}One row from arcadium/software-reviews (README example; long text shortened):
{
"rowType": "review",
"platform": "googleplay",
"reviewId": "GooglePlay___a1b2c3d4-0000-0000-0000-000000000000",
"productName": "Slack",
"date": "2026-10-14",
"title": null,
"text": "Notifications are finally reliable on my phone.",
"ratingOverall": 4,
"reviewerCompanySize": null,
"extras": {
"inputProduct": "Slack"
}
}Output fields: rowType, platform, productName, productUrl, entityId, reviewId, reviewIdSource, reviewUrl, title, text, pros, cons, ratingOverall, ratings, date, reviewerRole, reviewerIndustry, reviewerCompanySize, reviewerTimeUsed, switchedFrom, alternativesConsidered, reasonForChoosing, reasonForSwitching, adviceToOthers, incentivized, incentive, reviewerVerified, vendorResponse, helpfulVotes, language, country, product, extras, scrapedAt, stated, delivered, skippedSeen, duplicates, stopReason, capSource, shortfall, input, code, message, inputType, vendor, matchConfidence, sources. The rows use these names, not the other actor’s.
Price
| Actor | Pricing model | Charged per | Per 1,000, Free plan | Per 1,000, lowest plan |
|---|---|---|---|---|
| arcadium/software-reviews | Pay per event | Review | $1.79 | $1.16 |
| zen-studio/software-review-scraper | Pay per event | Review | $4.99 | $3.99 |
Live Apify prices on 2026-10-31, in USD, for each actor’s main charged event. Start fees and platform usage are not included. Units differ: compare what one charged row contains. The Store page of each actor is the current source.
Common issues: failed or timed-out runs
- All-in-One Review Scraper timed out: 0.1% of 2,403 runs timed out.
- All-in-One Review Scraper failed: 7.9% of 2,403 runs ended as failed.
| Actor | Runs, last 30 days | Failed | Timed out |
|---|---|---|---|
| arcadium/software-reviews | under 50 runs (9 runs) | - | - |
| zen-studio/software-review-scraper | 2,403 | 7.9% | 0.1% |
Apify’s public run statistics for each actor, last 30 days to 2026-10-31: FAILED and TIMED-OUT runs as a share of all runs. Shown from 50 runs. A failed run can also come from a bad input. Here an input that cannot be read comes back as a free error row with a code, and the other inputs still arrive.
How to switch
In the Apify Store
- Open arcadium/software-reviews and sign in to Apify.
- On the Input tab, switch the editor to JSON and paste the input you used for zen-studio/software-review-scraper, without the fields listed above as not read.
- Start the run. Set a maximum cost per run in the run options if you want a hard cap.
Over the API
Change the actor ID in the URL from zen-studio~software-review-scraper to arcadium~software-reviews; the body stays the same apart from the fields this actor does not read.
curl -X POST "https://api.apify.com/v2/acts/arcadium~software-reviews/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"query":"Slack","platforms":["capterra"],"maxResults":200,"sort":"most_helpful"}'
In n8n
In the Apify node, change the actor to arcadium/software-reviews and keep the input JSON. With an HTTP Request node:
{
"nodes": [
{
"name": "Run arcadium/software-reviews",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
0,
0
],
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/arcadium~software-reviews/run-sync-get-dataset-items",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\"query\":\"Slack\",\"platforms\":[\"capterra\"],\"maxResults\":200,\"sort\":\"most_helpful\"}",
"options": {
"timeout": 300000
}
}
}
],
"connections": {}
}
From an AI assistant (MCP)
Add the actor as a tool on Apify’s MCP server; an agent can pass the same input fields.
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com/?tools=arcadium/software-reviews",
"headers": {
"Authorization": "Bearer <APIFY_TOKEN>"
}
}
}
}