Pricing

from $0.87 / 1,000 item extracteds

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Reddit Stock Sentiment Scraper

Try for free

Track supplied stock and crypto tickers across public Reddit posts and comments. Export mention volume, sentiment, daily and subreddit trends, engagement, and auditable source evidence.

Pricing

from $0.87 / 1,000 item extracteds

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Social media

Other

ticker

Optional

Normalized supplied ticker symbol.

Type:string | null

Example:

SAMPLE

mentionVolume

Optional

Matching posts and comments included in the aggregate.

Type:integer | null

Example:

postMentions

Optional

Matching Reddit submissions.

Type:integer | null

Example:

commentMentions

Optional

Matching Reddit comments.

Type:integer | null

Example:

bullishMentions

Optional

Mentions classified as bullish by the documented lexicon.

Type:integer | null

Example:

bearishMentions

Optional

Mentions classified as bearish by the documented lexicon.

Type:integer | null

Example:

neutralMentions

Optional

Mentions with no net bullish or bearish lexicon score.

Type:integer | null

Example:

bullishPercent

Optional

Percentage of mentions classified as bullish.

Type:number | null

Example:

33.3333

bearishPercent

Optional

Percentage of mentions classified as bearish.

Type:number | null

Example:

19.0476

averageSentiment

Optional

Average rule-based sentiment score from -1 to 1.

Type:number | null

Example:

0.1429

totalScore

Optional

Sum of Reddit scores on matched source records.

Type:integer | null

Example:

315

uniqueAuthors

Optional

Distinct non-deleted authors among matched records.

Type:integer | null

Example:

subredditBreakdown

Optional

Mention and sentiment counts by subreddit.

Type:object[] | null

Example:

[
  {
    "subreddit": "samplecommunity",
    "mentions": 10,
    "bullish": 4,
    "bearish": 2,
    "neutral": 4
  }
]

dailyTrend

Optional

Daily mention counts and average sentiment.

Type:object[] | null

Example:

[
  {
    "date": "2025-01-15",
    "mentions": 6,
    "bullish": 2,
    "bearish": 1,
    "neutral": 3,
    "averageSentiment": 0.1667
  }
]

evidence

Optional

Recent matched source records supporting the aggregate.

Type:object[] | null

Example:

[
  {
    "id": "abc123",
    "type": "post",
    "ticker": "SAMPLE",
    "title": "Sample market discussion",
    "text": "Example public discussion text.",
    "author": "exampleuser",
    "subreddit": "samplecommunity",
    "score": 12,
    "commentsCount": 3,
    "createdAt": "2025-01-15T12:00:00.000Z",
    "permalink": "https://www.reddit.com/r/samplecommunity/comments/abc123/sample/",
    "sentiment": "neutral",
    "sentimentScore": 0,
    "matchedTerms": []
  }
]

evidenceReturned

Optional

Number of source evidence objects embedded in this row.

Type:integer | null

Example:

evidenceTruncated

Optional

Whether aggregate mentions exceed the embedded evidence limit.

Type:boolean | null

Example:

true

partialCoverage

Optional

Whether one or more requested subreddit and record-type slices failed after bounded retries.

Type:boolean | null

Example:

false

sourceFailures

Optional

Explicit failed source slices when partialCoverage is true.

Type:string[] | null

Example:

[]

subredditsSearched

Optional

Normalized subreddit names searched.

Type:string[] | null

Example:

[
  "samplecommunity"
]

fromDate

Optional

Inclusive beginning of the requested time window.

Type:string | null

Example:

2025-01-08T12:00:00.000Z

toDate

Optional

End of the requested time window.

Type:string | null

Example:

2025-01-15T12:00:00.000Z

collectedAt

Optional

Time when the aggregate was created.

Type:string | null

Example:

2025-01-15T12:01:00.000Z

source

Optional

Source platform identifier.

Type:string | null

Example:

methodology

Optional

Plain-language sentiment method and usage qualification.

Type:string | null

Example:

Rule-based English sentiment for research, not investment advice.

Other properties may be included.

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