Batch Runner
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Batch Runner
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Actor for starting several Runs from single Input. It also has capability to merge the Dataset items from the created batch.
Can you provide a complete example of how to run this Actor?
For instance I am trying to use the Actor compass/crawler-google-places and pasted the input into this Batch Runner Actor from my crawler-google-places input.
However the run fails and does not provide any useful information as to why it failed. I need help to understand what the issue is and how to fix it so that it will work with the compass/crawler-google-places Actor in batch running mode
Below is the input for the Batch Runner Actor. As a result of running this batch the crawler-google-places fails with error INVALID INPUT: You have to provide at least one of: "searchStringsArray", "startUrls" or "allPlacesNoSearchAction".
Why does it say this if the searchStringsArray was indeed provided as part of the input to the actor compass/crawler-google-places
{ "batch": [ { "actorId": "compass/crawler-google-places", "input": { "minWaitTime": 30, "dataset": { "items": [ { "deeperCityScrape": false, "includeWebResults": false, "language": "en", "locationQuery": "77547, usa", "maxCrawledPlacesPerSearch": 65, "maxImages": 1, "maxQuestions": 0, "maxReviews": 0, "onlyDataFromSearchPage": false, "scrapeDirectories": false, "scrapeImageAuthors": false, "scrapeResponseFromOwnerText": true, "scrapeReviewId": true, "scrapeReviewUrl": true, "scrapeReviewerId": true, "scrapeReviewerName": true, "scrapeReviewerUrl": true, "searchStringsArray": [ "Manufacturer" ], "skipClosedPlaces": false, "reviewsSort": "newest", "reviewsFilterString": "", "searchMatching": "all", ... [trimmed]
I have been playing with this for a little while now and have figured it out. Thanks for everything the tool seems useful to begin with
warm_evergreen Thanks for reaching out. I am glad you figured out and find this tool useful. I will take this as a suggestion to add more examples with other Actors as well.
Actor Metrics
3 monthly users
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5 stars
>99% runs succeeded
Created in Sep 2023
Modified 2 months ago