Build Stocktwits Dataset
Maxime Dupré
Stocktwits Scraper
Run Stocktwits Dataset for AAPL with a limit of 25 messages. Get recent public message rows with text, dates, authors, and cashtags.
Input
Output fields
Sign up on Apify or log in
The Stocktwits Scraper Actor is ready to run with the inputs already set for "Build Stocktwits Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build Stocktwits Dataset" task
The Stocktwits Scraper Actor will start running based on the input automatically. You can also change all the input fields, like result type, ticker symbols, and more, to match your specific use case.
Receive the "Build Stocktwits Dataset" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as result type, message id, matched input, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build Stocktwits Dataset" task via API.
The Build Stocktwits Dataset task returns up to 25 public Stocktwits messages for AAPL. Each row can hold the message ID, text, date, author, likes, cashtags, and the author's sentiment label.
The Build Stocktwits Dataset task can keep only messages that the author marked Bullish or Bearish. Set sentiment to bullish or bearish. The value all keeps every message.
The Build Stocktwits Dataset task returns only posts with a price target when you turn on onlyPriceTargets. Leave it off to get posts with or without a price target.
The Build Stocktwits Dataset task can collect older messages with olderThanMessageId. It saves only messages with a lower ID. Use newerThanMessageId to get only messages that are newer than an ID.
The Build Stocktwits Dataset task uses maxMessagesPerTarget, now set to 25. Change it to read more or fewer messages. Set 0 to read until the public feed has no more messages.
The Build Stocktwits Dataset task charges once for each row saved to the dataset: $0.00045 on the Apify Free plan and $0.00005 on paid plans. Author like counts cost extra and are off by default.
The Build Stocktwits Dataset task can run from the Apify API. Start the task with your Apify token, then read the results from its dataset as JSON.
The Build Stocktwits Dataset task works with the Apify Python client. Call the task by its ID, wait for the run, and then read the dataset items in your Python code.
The Build Stocktwits Dataset task can run on an Apify schedule, such as every hour or every day. Each run saves a new dataset.
The Build Stocktwits Dataset task saves rows to an Apify dataset. You can download it as JSON, CSV, Excel, XML, or HTML.