Reddit Subreddit Scraper

Scraper

$0.5/1000

results

Extract subreddit metadata — about info, rules, similar communities, and optional comments — for community due diligence and maps. $0.50 per 1,000 rows.

Scraping Dino

4.7(3)

Try it out

Reddit Subreddit Scraper

Scraper

Extract subreddit metadata — about info, rules, similar communities, and optional comments — for community due diligence and maps. $0.50 per 1,000 rows.

Scraping Dino

4.7(3)

$0.5/1000results

Try it out

Scraping Dino Subreddit Intelligence

One run that profiles a community: who it is, how it’s moderated, and what sits nearby.

On Scrapy.io, Scraping Dino Subreddit Intelligence by Scraping Dino is built for reddit subreddit scraper workflows — run from the Store, schedule recurring jobs, or POST to scrapingdino.p.scrapy.io from your stack.

What it does

Fetches subreddit about/info for each target
Optionally includes rules, similar communities, and recent comments
Caps comment volume with maxResults

Why teams scrape Reddit with Scraping Dino

Reddit is one of the largest public conversation graphs on the web — product feedback, competitor mentions, support pain, and niche community signals all surface there before they hit traditional media. A reddit subreddit scraper workflow on Scrapy.io lets analysts and engineers pull that signal into the same warehouse tables as CRM, ads, and support data instead of copying links by hand.

Scraping Dino Subreddit Intelligence is built for repeatable extraction: you define inputs once (URLs, queries, usernames, or subreddit names), cap volume with maxResults, and export JSON or CSV on a schedule. That matters when your use case is a daily brand monitor, a research panel, or an enrichment step in a larger ETL — not a one-off screenshot.

Scraping Dino listings share a consistent column philosophy across Reddit tools: stable field names, explicit error rows, and pricing per successful result so finance can forecast spend as you add communities or keywords.

What data can Scraping Dino Subreddit Intelligence extract?

This reddit subreddit scraper on Scrapy.io exports structured fields including:

Subreddit — Community name
Title / description — About text and headline
Subscribers — Member count
Rules — Short name and full rule text
Similar communities — Related subreddit suggestions
Comments — Recent comment sample when enabled
NSFW / flags — Safety and visibility signals

How to run on Scrapy.io

Open Scraping Dino Subreddit Intelligence on the Scrapy.io Store.
Click Try for free or Run.
Fill in the input form (see Input below) or paste JSON from the example.
Click Start and wait for the run to complete.
Download results from the Output tab, or fetch them via the publisher API.

For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.

Search intent and keywords

Teams discover Scraping Dino Subreddit Intelligence while researching reddit subreddit scraper and related terms such as . This listing is structured to answer common questions — including — with concrete Input and Output examples you can run on Scrapy.io without maintaining your own scraper infrastructure.

If you arrived from SEO or paid search, start with the Input JSON example below, run once on the free tier, then scale with schedules or the publisher API once row shape and cost look right.

Quick start checklist

Use this checklist before your first production run of Scraping Dino Subreddit Intelligence:

Validate inputs — paste a single URL, username, query, or place ID and confirm the Output shape matches your schema
Set caps — tune maxResults, maxReviews, or equivalent limits so a full batch stays within budget
Inspect errors — open the Errors view; fix malformed inputs rather than retrying the entire run blindly
Export once — download JSON and share with stakeholders for sign-off on columns and row volume
Promote to API — copy the same JSON to a POST against scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/api or create a scheduled job

Most teams keep a "golden" input file in git for Scraping Dino Subreddit Intelligence so staging and production use identical payloads. Update that file when you add keywords, targets, or communities — not the orchestration code around it.

Input

Profile one or more communities in a single run. Toggle rules, similar subs, and optional comment samples.

Configure the run in the Scrapy.io input form or pass JSON to the publisher API.

Input JSON example

{
  "subreddits": [
    "askreddit",
    "python"
  ],
  "maxResults": 50
}

Field	Type	Required	Description
`subreddits`	string[]	Yes	List of subreddit names to scrape. Enter one per line — plain names or r/name are accepted
`maxResults`	integer	No	Maximum number of comments to fetch per subreddit. Only used when Comments is enabled

Output

Results appear in the Scrapy.io run Output tab. Results, Subreddit Details, Rules, Similar, Comments, and Errors views.

Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.

JSON example

[
  {
    "type": "info",
    "subreddit": "python",
    "title": "Python",
    "description": "News about the programming language Python.",
    "subscribers": 1400000,
    "nsfw": false,
    "url": "https://www.reddit.com/r/python/"
  }
]

Download the full dataset as JSON, CSV, or Excel from the Output tab, or fetch results programmatically via the publisher API after the run completes.

Where teams use the data

Due diligence

check rules and NSFW flags before posting or partnering

Teams usually snapshot these rows on a schedule, store a scrapedAt timestamp in their warehouse, and diff week-over-week to spot new entries or metric changes. For first-time setup, run Scraping Dino with conservative caps, validate the Output preview against your schema, then promote the same JSON to a cron or API job. Document which Output view (Posts, Comments, Reviews, etc.) your downstream models consume so new teammates can reproduce the pipeline without tribal knowledge.

Audience maps

expand from seed subs into similar communities

Compliance

document community policies for brand safety reviews

Onboarding packs

give PMs a structured brief on target communities

Why Scraping Dino

Bundles community context into one pipeline-friendly export instead of forcing separate manual lookups. Prefer Scraping Dino when the goal is a complete community dossier in your DB.

Pipeline patterns with Scraping Dino

Scraping Dino Subreddit Intelligence is rarely the only step in a data workflow. Teams typically:

Run due-diligence packs before launching campaigns in unfamiliar communities
Feed similar subreddit names into Reddit Popular Subreddits Scraper seed lists
Pair with Reddit Subreddit Posts Scraper after approving a community

See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.

Loading Scraping Dino Subreddit Intelligence data into your warehouse

Most production deployments follow the same shape:

Extract — scheduled Scrapy.io run or API POST with your input JSON
Stage — land raw JSON in S3, GCS, or a staging Postgres schema
Normalize — map Output columns to typed tables (posts, comments, businesses, videos, etc.)
Dedupe — key on stable IDs (postUrl, placeId, videoId, reviewId, …) plus scrape date where history matters
Serve — expose dbt models or API views to BI, CRM enrichment, or alerting

Scraping Dino Subreddit Intelligence separates successful rows from per-input errors, so staging logic can WHERE type != 'error' (or the equivalent filter for your tool) without failing the whole batch. Join across Scraping Dino tools on those stable keys to build multi-step datasets without re-scraping upstream steps.

Build vs. buy: why use Scraping Dino Subreddit Intelligence on Scrapy.io?

Maintaining Reddit, Maps, or YouTube extractors in-house means handling rate limits, HTML or API changes, proxy rotation, and observability — work that rarely differentiates your product. Scraping Dino Subreddit Intelligence on Scrapy.io outsources that operational burden: you supply inputs, Scrapy.io runs the job, and you pay per successful row.

Scraping Dino listings add warehouse-first documentation (clear caps, field lists, and pipeline patterns) so data teams can onboard without reading executor source code. When requirements change, update the input JSON or schedule — not your scraper fleet.

Export formats and delivery

Scraping Dino Subreddit Intelligence runs on Scrapy.io support multiple ways to get data out:

JSON — best for APIs, agents, and document stores; preserves nested fields
CSV — spreadsheet-friendly flat exports for analysts
Excel — formatted downloads for stakeholder review
Publisher API — POST inputs and poll or webhook results into your own pipeline
Webhooks — push finished runs to Slack, Zapier, or custom endpoints

For production pipelines, most teams land JSON in object storage, normalize in dbt or Spark, and schedule recurring runs so the Store listing becomes just another data source — not a manual step.

Scheduling and automation

Run Scraping Dino Subreddit Intelligence once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:

Daily discovery — refresh feeds, search queries, or Maps targets on a cron
Event-driven enrichment — webhook from your CRM when a new URL or place ID appears
API batch jobs — your backend POSTs to scrapingdino.p.scrapy.io on a queue

Scraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.

Pricing

$0.50 per 1,000 rows

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["AskReddit", "python"],
    "includeRules": true,
    "includeSimilar": true,
    "includeComments": false
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["AskReddit", "python"],
    "includeRules": true,
    "includeSimilar": true,
    "includeComments": false
  }'

Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.

MCP and agent workflows

Scraping Dino Subreddit Intelligence is available through the Scrapy.io MCP server — configure your API key in Cursor, Claude Desktop, or another MCP client, then invoke the tool from agent workflows. This is useful for ad-hoc research ("scrape these ten URLs and summarize the Output") without writing boilerplate HTTP code.

For production, prefer the publisher API or scheduled runs; use MCP for exploratory analysis and internal tooling where a human or agent supplies inputs interactively. See the API tab on Scraping Dino Subreddit Intelligence for MCP connection snippets.

Tool	Best for
Scraping Dino Reddit Comment Tree	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Posts	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Subreddits	Scraping Dino companion tool — overview

Tips for scaling runs

Disable includeComments on wide discovery runs to save rows and cost
Store rules text for compliance audits with a scrape timestamp
Inspect per-row errors in the Errors output view instead of failing an entire batch
When Maps, Reddit, or YouTube batches repeat the same error, raise Issues on this Scraping Dino listing with your run ID and a sample input

Limitations

Comment samples are capped by maxResults — not a full feed export
Similar communities reflect Reddit suggestions at scrape time

Scraping Dino Subreddit Intelligence collects publicly available data only. You are responsible for complying with platform terms, applicable laws, and data-protection regulations (including GDPR when personal data is involved). Consult your legal team for your specific use case.

Frequently asked questions

How much does Scraping Dino Subreddit Intelligence cost?

$0.50 per 1,000 rows. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.

Can I integrate Scraping Dino Subreddit Intelligence with other apps?

Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.

Can I use Scraping Dino Subreddit Intelligence with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.

Can I use Scraping Dino Subreddit Intelligence through an MCP server?

Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Subreddit Intelligence from AI assistants and agent workflows.

Scraping Dino Subreddit Intelligence is not working — what should I do?

Verify inputs (URLs, queries, identifiers) are valid and public
Lower volume caps and retry
Check the run log for per-row errors in the Errors output view
Log the failure in Issues on this Scraping Dino tool page (run ID + place ID, subreddit, or video URL)

Your feedback

Scraping Dino maintains deep Maps, Reddit, and YouTube coverage — star the tool in Reviews if exports are landing in your warehouse and mention which dataset you rely on most.

Similar Tools

View all

Reddit Search Explorer

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Scraping Dino Subreddit Intelligence

One run that profiles a community: who it is, how it’s moderated, and what sits nearby.

What it does

Fetches subreddit about/info for each target
Optionally includes rules, similar communities, and recent comments
Caps comment volume with maxResults

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Subreddit Intelligence extract?

This reddit subreddit scraper on Scrapy.io exports structured fields including:

Subreddit — Community name
Title / description — About text and headline
Subscribers — Member count
Rules — Short name and full rule text
Similar communities — Related subreddit suggestions
Comments — Recent comment sample when enabled
NSFW / flags — Safety and visibility signals

How to run on Scrapy.io

Open Scraping Dino Subreddit Intelligence on the Scrapy.io Store.
Click Try for free or Run.
Fill in the input form (see Input below) or paste JSON from the example.
Click Start and wait for the run to complete.
Download results from the Output tab, or fetch them via the publisher API.

For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.

Search intent and keywords

If you arrived from SEO or paid search, start with the Input JSON example below, run once on the free tier, then scale with schedules or the publisher API once row shape and cost look right.

Quick start checklist

Use this checklist before your first production run of Scraping Dino Subreddit Intelligence:

Validate inputs — paste a single URL, username, query, or place ID and confirm the Output shape matches your schema
Set caps — tune maxResults, maxReviews, or equivalent limits so a full batch stays within budget
Inspect errors — open the Errors view; fix malformed inputs rather than retrying the entire run blindly
Export once — download JSON and share with stakeholders for sign-off on columns and row volume
Promote to API — copy the same JSON to a POST against scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/api or create a scheduled job

Input

Profile one or more communities in a single run. Toggle rules, similar subs, and optional comment samples.

Configure the run in the Scrapy.io input form or pass JSON to the publisher API.

Input JSON example

{
  "subreddits": [
    "askreddit",
    "python"
  ],
  "maxResults": 50
}

Field	Type	Required	Description
`subreddits`	string[]	Yes	List of subreddit names to scrape. Enter one per line — plain names or r/name are accepted
`maxResults`	integer	No	Maximum number of comments to fetch per subreddit. Only used when Comments is enabled

Output

Results appear in the Scrapy.io run Output tab. Results, Subreddit Details, Rules, Similar, Comments, and Errors views.

Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.

JSON example

[
  {
    "type": "info",
    "subreddit": "python",
    "title": "Python",
    "description": "News about the programming language Python.",
    "subscribers": 1400000,
    "nsfw": false,
    "url": "https://www.reddit.com/r/python/"
  }
]

Download the full dataset as JSON, CSV, or Excel from the Output tab, or fetch results programmatically via the publisher API after the run completes.

Where teams use the data

Due diligence

check rules and NSFW flags before posting or partnering

Audience maps

expand from seed subs into similar communities

Compliance

document community policies for brand safety reviews

Onboarding packs

give PMs a structured brief on target communities

Why Scraping Dino

Bundles community context into one pipeline-friendly export instead of forcing separate manual lookups. Prefer Scraping Dino when the goal is a complete community dossier in your DB.

Pipeline patterns with Scraping Dino

Scraping Dino Subreddit Intelligence is rarely the only step in a data workflow. Teams typically:

Run due-diligence packs before launching campaigns in unfamiliar communities
Feed similar subreddit names into Reddit Popular Subreddits Scraper seed lists
Pair with Reddit Subreddit Posts Scraper after approving a community

See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.

Loading Scraping Dino Subreddit Intelligence data into your warehouse

Most production deployments follow the same shape:

Extract — scheduled Scrapy.io run or API POST with your input JSON
Stage — land raw JSON in S3, GCS, or a staging Postgres schema
Normalize — map Output columns to typed tables (posts, comments, businesses, videos, etc.)
Dedupe — key on stable IDs (postUrl, placeId, videoId, reviewId, …) plus scrape date where history matters
Serve — expose dbt models or API views to BI, CRM enrichment, or alerting

Build vs. buy: why use Scraping Dino Subreddit Intelligence on Scrapy.io?

Export formats and delivery

Scraping Dino Subreddit Intelligence runs on Scrapy.io support multiple ways to get data out:

JSON — best for APIs, agents, and document stores; preserves nested fields
CSV — spreadsheet-friendly flat exports for analysts
Excel — formatted downloads for stakeholder review
Publisher API — POST inputs and poll or webhook results into your own pipeline
Webhooks — push finished runs to Slack, Zapier, or custom endpoints

For production pipelines, most teams land JSON in object storage, normalize in dbt or Spark, and schedule recurring runs so the Store listing becomes just another data source — not a manual step.

Scheduling and automation

Run Scraping Dino Subreddit Intelligence once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:

Daily discovery — refresh feeds, search queries, or Maps targets on a cron
Event-driven enrichment — webhook from your CRM when a new URL or place ID appears
API batch jobs — your backend POSTs to scrapingdino.p.scrapy.io on a queue

Scraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.

Pricing

$0.50 per 1,000 rows

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["AskReddit", "python"],
    "includeRules": true,
    "includeSimilar": true,
    "includeComments": false
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["AskReddit", "python"],
    "includeRules": true,
    "includeSimilar": true,
    "includeComments": false
  }'

Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.

MCP and agent workflows

Tool	Best for
Scraping Dino Reddit Comment Tree	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Posts	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Subreddits	Scraping Dino companion tool — overview

Tips for scaling runs

Disable includeComments on wide discovery runs to save rows and cost
Store rules text for compliance audits with a scrape timestamp
Inspect per-row errors in the Errors output view instead of failing an entire batch
When Maps, Reddit, or YouTube batches repeat the same error, raise Issues on this Scraping Dino listing with your run ID and a sample input

Limitations

Comment samples are capped by maxResults — not a full feed export
Similar communities reflect Reddit suggestions at scrape time

Frequently asked questions

How much does Scraping Dino Subreddit Intelligence cost?

$0.50 per 1,000 rows. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.

Can I integrate Scraping Dino Subreddit Intelligence with other apps?

Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.

Can I use Scraping Dino Subreddit Intelligence with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-subreddit-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.

Can I use Scraping Dino Subreddit Intelligence through an MCP server?

Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Subreddit Intelligence from AI assistants and agent workflows.

Scraping Dino Subreddit Intelligence is not working — what should I do?

Verify inputs (URLs, queries, identifiers) are valid and public
Lower volume caps and retry
Check the run log for per-row errors in the Errors output view
Log the failure in Issues on this Scraping Dino tool page (run ID + place ID, subreddit, or video URL)

Your feedback

Scraping Dino maintains deep Maps, Reddit, and YouTube coverage — star the tool in Reviews if exports are landing in your warehouse and mention which dataset you rely on most.

Similar Tools

View all

Reddit Search Explorer

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$0.86

Search Reddit posts, subreddits, and users via DataDoping Reddit API.

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Scrape posts from Reddit subreddits via DataDoping Reddit API.

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Reddit Subreddit Scraper

Reddit Subreddit Scraper

Scraping Dino Subreddit Intelligence

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Subreddit Intelligence extract?

How to run on Scrapy.io

Search intent and keywords

Quick start checklist

Input

Input JSON example

Output

JSON example

Where teams use the data

Due diligence

Audience maps

Compliance

Onboarding packs

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Subreddit Intelligence data into your warehouse

Build vs. buy: why use Scraping Dino Subreddit Intelligence on Scrapy.io?

Export formats and delivery

Scheduling and automation

Pricing

Publisher API

MCP and agent workflows

Related Scraping Dino tools on Scrapy.io

Tips for scaling runs

Limitations

Frequently asked questions

How much does Scraping Dino Subreddit Intelligence cost?

Can I integrate Scraping Dino Subreddit Intelligence with other apps?

Can I use Scraping Dino Subreddit Intelligence with the Scrapy.io API?

Can I use Scraping Dino Subreddit Intelligence through an MCP server?

Scraping Dino Subreddit Intelligence is not working — what should I do?

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor

Scraping Dino Subreddit Intelligence

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Subreddit Intelligence extract?

How to run on Scrapy.io

Search intent and keywords

Quick start checklist

Input

Input JSON example

Output

JSON example

Where teams use the data

Due diligence

Audience maps

Compliance

Onboarding packs

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Subreddit Intelligence data into your warehouse

Build vs. buy: why use Scraping Dino Subreddit Intelligence on Scrapy.io?

Export formats and delivery

Scheduling and automation

Pricing

Publisher API

MCP and agent workflows

Related Scraping Dino tools on Scrapy.io

Tips for scaling runs

Limitations

Frequently asked questions

How much does Scraping Dino Subreddit Intelligence cost?

Can I integrate Scraping Dino Subreddit Intelligence with other apps?

Can I use Scraping Dino Subreddit Intelligence with the Scrapy.io API?

Can I use Scraping Dino Subreddit Intelligence through an MCP server?

Scraping Dino Subreddit Intelligence is not working — what should I do?

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor