![Meta Threads & Replies Scraper avatar](https://images.apifyusercontent.com/DMYccDwnVfyKK54q0tnstw1VqGx-9twD01noR0BXsSE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9hSnkwbEM0V2V3S1E2dlNNYS84VHl5SmNtRXU3UkxSQko0Mi10aHJlYWRzLnBuZw.webp)
Meta Threads & Replies Scraper
DeprecatedView all Actors![Meta Threads & Replies Scraper](https://images.apifyusercontent.com/DMYccDwnVfyKK54q0tnstw1VqGx-9twD01noR0BXsSE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9hSnkwbEM0V2V3S1E2dlNNYS84VHl5SmNtRXU3UkxSQko0Mi10aHJlYWRzLnBuZw.webp)
This Actor is deprecated
This Actor is unavailable because the developer has decided to deprecate it. Would you like to try a similar Actor instead?
See alternative Actors![Meta Threads & Replies Scraper](https://images.apifyusercontent.com/DMYccDwnVfyKK54q0tnstw1VqGx-9twD01noR0BXsSE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9hSnkwbEM0V2V3S1E2dlNNYS84VHl5SmNtRXU3UkxSQko0Mi10aHJlYWRzLnBuZw.webp)
Meta Threads & Replies Scraper
lexis-solutions/meta-threads-replies-scraper
The Meta Threads & Replies Scraper is a web scraping tool created to extract information from profiles and threads within the Threads app.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "usernames": ["zuck"] }
8
9# Run the Actor and wait for it to finish
10run = client.actor("lexis-solutions/meta-threads-replies-scraper").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
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