Strategies for building Jsonify workflows that can handle large amounts of data and run efficiently.
Open datasets
with CSV Import:
Open datasets
block to load a CSV, the first row of your CSV file will be imported as the column headers (variable names) in the block. Subsequent rows will be treated as data.Open Websites
with “Add a numbered range of URLs”:
example.com/products?page={{page}}
).Open datasets
or multiple URLs in Open Websites
), Jsonify automatically assigns the maximum number of AI Agents available based on your subscription plan to work on different items concurrently. There is no manual setting for the number of agents; the platform always utilizes the maximum available to you to significantly speed up the overall process.Extract Data
(Impacts Data Quality):
Extract Data
instructions, guide the AI to look for information only in relevant parts of a webpage. Use negative constraints like “Do not extract data from the comments section” or “Only consider the main product description area.” This improves data accuracy.Interact with Page
, ensure each action is essential. Avoid redundant clicks or interactions, as each action takes time.Find Links
+ Follow Links
is often faster and more direct than Interact with Page
to click it.Open datasets
) to process those items.Explore Content
and “How many pages to navigate through?” in Paginate a list
. Set reasonable limits to prevent workflows from running indefinitely or processing excessive data if not needed.Open datasets
with partial CSVs, or by adjusting the range in the “Add a numbered range of URLs” feature in Open Websites
.Open a dataset
or distinct URLs in Open Websites
), can help mitigate this. Providing direct URLs for paginated content (Pattern 3 in “Common Workflow Patterns”) is generally better than rapidly clicking “Next” buttons from a single session.Open a dataset
block. This makes the workflow instantly reusable for different datasets.
{{search_keyword}}
.https://{{domain_name}}
.