Tripadvisor Reviews Scraper
Pricing
$2.00 / 1,000 reviews
Tripadvisor Reviews Scraper
Get and download reviews for chosen places on Tripadvisor. Extract the review text, URL, rating, date of travel, published date, basic reviewer info, owner's response, helpful votes, images, review language, place details. Download reviews in XML, JSON, CSV.
4.3 (6)
Pricing
$2.00 / 1,000 reviews
82
Monthly users
393
Runs succeeded
>99%
Response time
8.5 hours
Last modified
10 days ago
actor-memory-limit-exceeded
Closed
Hi, we had an instance of this actor run that is showing as successful, but through API we received following error. Would you be able to explain why and how can we prevent this? {"name":"ApifyApiError","clientMethod":"ActorClient.start","statusCode":402,"type":"actor-memory-limit-exceeded","attempt":1,"httpMethod":"post","path":"/v2/acts/Hvp4YfFGyLM635Q2F/runs","originalStack":"\n at makeRequest (/function/node_modules/apify-client/dist/http_client.js:184:30)\n at process.processTicksAndRejections (node:internal/process/task_queues:95:5)\n at async ActorClient.start (/function/node_modules/apify-client/dist/resource_clients/actor.js:86:26)\n at async ActorClient.call (/function/node_modules/apify-client/dist/resource_clients/actor.js:107:24)\n at async syncReviewsTripadvisor (/function/tripadvisorScrapperOldVersion.js:51:21)\n at async /function/func.js:109:46\n at async Promise.all (index 2)\n at async reviewsScrapping (/function/func.js:126:13)"}
hi, are you sure that the API request which gave you this error really started a run? This error means that starting a new run would make you run over your concurrent memory limit (you can see this limit at the bottom left of Apify Console - see attached image), so no run should have been started by this request, and if there was one, that is our bug, so please let us know.
The solution for this is simple - don't start too many runs at the same time. If you are doing this from some loop, you can check your memory usage via this endpoint https://api.apify.com/v2/users/me/limits?token=<your token> - there is the field data.current.actorMemoryGbytes, which you can compare against data.limits.maxActorMemoryGbytes to see how much more concurrently occupied memory you can use.
aha, I see there is a duplicate on tri_angle/expedia-hotels-com-reviews-scraper. closing this in favor of the other thread
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$2.00
