Zillow Detail Scraper
Pay $3.00 for 1,000 results
Zillow Detail Scraper
Pay $3.00 for 1,000 results
Get details of Zillow properties from URLs. This Actor can be easily integrated with other Zillow Scrapers.
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Get a demoError: Importing to Clay
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Error: The action function output exceeded the size limit. see screenshot for actor / task id.
Hi, I am not too familiar with the Clay integration, but I think this means that your run of the Zillow Scraper produced a lot of data, which then couldn't be imported into Clay due to size restrictions on their side.
While I would love to assist, I don't see what we could change in the Actor to help with your issue. Do you have any suggestion in mind?
Looking forward to hearing back from you.
Best regards,
Matěj
renovation_alerts
Hi!
I think what could help is the ability to select which fields to pull and which not to pull. I really only need a few pieces such as the address, detail URL, all carousel photos and maybe some pieces of info.
If I was able to pull just that, the file size would be much smaller.
Is that possible?
I see it is in the ability to export but not at the actor/task level.
Hm, I see. We generally try to avoid creating options to only scrape selected fields, for multiple reasons:
- the scraper downloads the whole data object at once, so it's easier to just push it to the dataset instead of adding extra logic for filtering fields
- it's useful in case you later realize you wanted more fields - you don't have to rescrape anything, you just download more fields of the existing dataset, thus saving money
- it was causing confusion - you have the option to choose fields in two different places - at Actor startup, and at export
However, I think we could add this "selected fields export" option to the Clay export integration. I asked our team about it, we will update you hear once we have some progress. Thanks for your patience.
renovation_alerts
Sounds good, thanks!
Maximillian Copelli- 122 monthly users
- 29 stars
- 96.2% runs succeeded
- 5.8 days response time
- Created in Jun 2023
- Modified 23 days ago
