The WebSightLine Threads component provides a live feed with millions of Threads posts and comments each day.

New to Datastreamer? Start here.

👍

Unify Schema

This data source already use Unify Schema.

How to use?

The WebSightLine Threads is powered by the Jobs System, when interacting with the component you have the option to define your jobs queries.

Search Queries

Filters

Available filters for WebSightLine Threads can be found in the table below:

The Lucene Query is supported for this component in the query field. Here are some of the basics queries that you can try:

Keywords:

cats

Fields:

title:lucene

Phrases:

"apache lucene"

Wildcards:

tes\*

Boolean operators:

cats OR dogs

Examples

Search for cats or dogs

Query cats or dogs every 6 hours:

You also have the option to use the API. You can use the Code button to extract this example:

curl --location 'https://dev.api.platform.datastreamer.io/api/pipelines/{PIPELINE_ID}/components/{COMPONENT_ID}/jobs?ready=true' \
      --header 'apikey: <your-api-key>' \
      --header 'Content-Type: application/json' \
      --data \
        '{
          "job_name": "8740eace-160a-468e-a2f5-8d2db803f9f6",
          "data_source": "wsl_threads",
          "query": {
            "query_string": "cats OR dogs"
          },
          "job_type": "periodic",
          "schedule": "0 0 0/12 1/1 * ? *",
          "max_documents": 50
        }'

For more details on creating data collection jobs, see Job Management.

Additional Details

Stats

Compatible Metadata Fields

Compatible Classifiers & Models

Compatible Features

As a Stream-Integrated partner, all streaming features are available.

Available Fields

The available fields can be changed by the data provider (WebSightLines), but currently this is the possible field names.

Common fields (present in most entries):

• id
• doc_date
• data_source (e.g., "wsl_threads")
• source.link (URL to the post)
• author.name
• author.bio
• author.profile_image_source
• author.url
• author.handle
• author.verified (boolean as string, e.g., "False")
• content.body (post text)
• content.published
• content.found (timestamp when post was scraped)
• content.found_by (e.g., "wsl_threads_profile_robot")
• content.last_updated
• content.likes_count
• content.followers (author's follower count)
• internal.provider_document_id
• internal.last_updated
• internal.annotations (array of objects with name/value, e.g., "found_with: profile: calfirelnu")
• internal.destinations (array, e.g., ["public"])

Content Metadata:

• content.hashtags (array of hashtags, e.g., ["dogs", "fyp"])
• content.mentions (array of mentioned handles, e.g., ["lostdogrescue"])
• content.images (array of objects with url and optional alternative_text)
• content.video_urls (array of URLs, if post contains video)

Threads-Specific fields:

• threads.content_type (e.g., "TEXT", "IMAGE", "VIDEO", "CAROUSEL")
• threads.post_type (e.g., "POST", "REPLY")
• threads.post_identifier (unique ID for the post)
• threads.user_verified (boolean as string)
• threads.user_id
• threads.source_link (for replies, links to parent post)

Enrichment Fields:

• enrichment.language (e.g., "en", "es", "nl")
• enrichment.location_inference_country.label (e.g., "US", "CA")
• enrichment.location_inference_country.confidence (float, e.g., 0.8323)

Built-In Language Detection

WSL_Threads has by default a built-in language enrichment provided by WebSightLine, the languages currently supported are: