Reddit Popular Subreddits Scraper

Scraper

$0.5/1000

results

Discover trending or new Reddit communities from popular/new feeds, optionally filtered by keyword. Structured subreddit rows for outreach and market maps.

Scraping Dino

Try it out

Reddit Popular Subreddits Scraper

Scraper

Discover trending or new Reddit communities from popular/new feeds, optionally filtered by keyword. Structured subreddit rows for outreach and market maps.

Scraping Dino

$0.5/1000results

Try it out

Scraping Dino Reddit Popular Subreddits

Find communities worth monitoring before you commit to deeper scrapes.

On Scrapy.io, Scraping Dino Reddit Popular Subreddits by Scraping Dino is built for reddit list workflows — run from the Store, schedule recurring jobs, or POST to scrapingdino.p.scrapy.io from your stack.

What it does

Lists popular or newly created subreddits
Optional keyword filter to narrow niches
Returns name, title, subscribers, and community URLs

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 list 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 Reddit Popular Subreddits 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 Reddit Popular Subreddits extract?

This reddit list on Scrapy.io exports structured fields including:

Name — Subreddit name
Title — Display title
Subscribers — Subscriber count
URL — Community link
Feed — Discovery feed used
Keyword — Filter applied, if any

How to run on Scrapy.io

Open Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits while researching reddit list and related terms such as subreddit, subreddits, reddit sites, best subreddits. This listing is structured to answer common questions — including how to find subreddits — 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 Reddit Popular Subreddits:

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-popular-subreddits-scraper/v1/api or create a scheduled job

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

Input

List communities from Reddit discovery feeds. Add a keyword to narrow results client-side.

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

Input JSON example

{
  "feed": "popular",
  "maxResults": 50
}

Field	Type	Required	Description
`feed`	string	No	Which subreddit feed to scrape: popular or new
`maxResults`	integer	No	Maximum number of subreddits to return (after keyword filtering, if set)

Output

Results appear in the Scrapy.io run Output tab. Subreddits and Errors tables in the run output.

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": "subreddit",
    "feed": "popular",
    "name": "saas",
    "title": "Software as a Service",
    "subscribers": 125000,
    "url": "https://www.reddit.com/r/saas/"
  }
]

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

Community mapping

build a living list of niche subs in your category

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.

Partnership scouting

find mods and audiences for AMAs or sponsorships

Product research

spot new subs forming around emerging problems

Seed lists

feed subreddit names into posts/search scrapers next

Why Scraping Dino

Scraping Dino frames discovery as the first hop into a pipeline: export → score → enqueue deeper tools. Cleaner than copying feed HTML, cheaper than manual browsing, and written for ops teams who need repeatable lists.

Pipeline patterns with Scraping Dino

Scraping Dino Reddit Popular Subreddits is rarely the only step in a data workflow. Teams typically:

Export names into Reddit Subreddit Posts Scraper for feed monitoring on shortlisted communities
Run Reddit Subreddit Scraper on finalists to pull rules and similar-community maps
Build a scored shortlist in your warehouse before commissioning deeper scrapes

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

Loading Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 communities

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-popular-subreddits-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "feed": "popular",
    "keyword": "saas",
    "maxResults": 40
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-popular-subreddits-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "feed": "popular",
    "keyword": "saas",
    "maxResults": 40
  }'

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

MCP and agent workflows

Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 Post Details	Scraping Dino companion tool — overview

Tips for scaling runs

Refresh popular lists weekly; new communities move fast in the new feed
Deduplicate subreddit names across runs with a stable name key
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

Keyword filtering happens after fetch — very broad feeds may hit maxResults before your niche appears
Subscriber counts are point-in-time snapshots

Scraping Dino Reddit Popular Subreddits 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 to find subreddits?

Scraping Dino Reddit Popular Subreddits on Scrapy.io covers reddit list workflows. See Input and API sections above, or open the Store listing.

How much does Scraping Dino Reddit Popular Subreddits cost?

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

Can I integrate Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits with the Scrapy.io API?

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

Can I use Scraping Dino Reddit Popular Subreddits through an MCP server?

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

Scraping Dino Reddit Popular Subreddits 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.

Scraping Dino Reddit Popular Subreddits

Find communities worth monitoring before you commit to deeper scrapes.

What it does

Lists popular or newly created subreddits
Optional keyword filter to narrow niches
Returns name, title, subscribers, and community URLs

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Popular Subreddits extract?

This reddit list on Scrapy.io exports structured fields including:

Name — Subreddit name
Title — Display title
Subscribers — Subscriber count
URL — Community link
Feed — Discovery feed used
Keyword — Filter applied, if any

How to run on Scrapy.io

Open Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits:

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-popular-subreddits-scraper/v1/api or create a scheduled job

Input

List communities from Reddit discovery feeds. Add a keyword to narrow results client-side.

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

Input JSON example

{
  "feed": "popular",
  "maxResults": 50
}

Field	Type	Required	Description
`feed`	string	No	Which subreddit feed to scrape: popular or new
`maxResults`	integer	No	Maximum number of subreddits to return (after keyword filtering, if set)

Output

Results appear in the Scrapy.io run Output tab. Subreddits and Errors tables in the run output.

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": "subreddit",
    "feed": "popular",
    "name": "saas",
    "title": "Software as a Service",
    "subscribers": 125000,
    "url": "https://www.reddit.com/r/saas/"
  }
]

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

Community mapping

build a living list of niche subs in your category

Partnership scouting

find mods and audiences for AMAs or sponsorships

Product research

spot new subs forming around emerging problems

Seed lists

feed subreddit names into posts/search scrapers next

Why Scraping Dino

Pipeline patterns with Scraping Dino

Scraping Dino Reddit Popular Subreddits is rarely the only step in a data workflow. Teams typically:

Export names into Reddit Subreddit Posts Scraper for feed monitoring on shortlisted communities
Run Reddit Subreddit Scraper on finalists to pull rules and similar-community maps
Build a scored shortlist in your warehouse before commissioning deeper scrapes

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

Loading Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits on Scrapy.io?

Export formats and delivery

Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits 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 communities

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-popular-subreddits-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "feed": "popular",
    "keyword": "saas",
    "maxResults": 40
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-popular-subreddits-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "feed": "popular",
    "keyword": "saas",
    "maxResults": 40
  }'

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 Post Details	Scraping Dino companion tool — overview

Tips for scaling runs

Refresh popular lists weekly; new communities move fast in the new feed
Deduplicate subreddit names across runs with a stable name key
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

Keyword filtering happens after fetch — very broad feeds may hit maxResults before your niche appears
Subscriber counts are point-in-time snapshots

Frequently asked questions

How to find subreddits?

Scraping Dino Reddit Popular Subreddits on Scrapy.io covers reddit list workflows. See Input and API sections above, or open the Store listing.

How much does Scraping Dino Reddit Popular Subreddits cost?

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

Can I integrate Scraping Dino Reddit Popular Subreddits 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 Reddit Popular Subreddits with the Scrapy.io API?

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

Can I use Scraping Dino Reddit Popular Subreddits through an MCP server?

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

Scraping Dino Reddit Popular Subreddits 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.

Field

Type

Required

Description

feed

string

Which subreddit feed to scrape: popular or new

maxResults

integer

Maximum number of subreddits to return (after keyword filtering, if set)

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-popular-subreddits-scraper/v1/api" \ -H "Content-Type: application/json" \ -H "X-API-Key: YOUR_API_KEY" \ -d '{ "feed": "popular", "keyword": "saas", "maxResults": 40 }'

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-popular-subreddits-scraper/v1/scraper" \ -H "Content-Type: application/json" \ -H "X-API-Key: YOUR_API_KEY" \ -d '{ "feed": "popular", "keyword": "saas", "maxResults": 40 }'

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 Post Details

Scraping Dino companion tool — overview

Field

Type

Required

Description

feed

string

Which subreddit feed to scrape: popular or new

maxResults

integer

Maximum number of subreddits to return (after keyword filtering, if set)

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 Post Details

Scraping Dino companion tool — overview

Reddit Popular Subreddits Scraper

Reddit Popular Subreddits Scraper

Scraping Dino Reddit Popular Subreddits

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Popular Subreddits 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

Community mapping

Partnership scouting

Product research

Seed lists

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Reddit Popular Subreddits data into your warehouse

Build vs. buy: why use Scraping Dino Reddit Popular Subreddits 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 to find subreddits?

How much does Scraping Dino Reddit Popular Subreddits cost?

Can I integrate Scraping Dino Reddit Popular Subreddits with other apps?

Can I use Scraping Dino Reddit Popular Subreddits with the Scrapy.io API?

Can I use Scraping Dino Reddit Popular Subreddits through an MCP server?

Scraping Dino Reddit Popular Subreddits is not working — what should I do?

Your feedback

Scraping Dino Reddit Popular Subreddits

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Popular Subreddits 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

Community mapping

Partnership scouting

Product research

Seed lists

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Reddit Popular Subreddits data into your warehouse

Build vs. buy: why use Scraping Dino Reddit Popular Subreddits 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 to find subreddits?

How much does Scraping Dino Reddit Popular Subreddits cost?

Can I integrate Scraping Dino Reddit Popular Subreddits with other apps?

Can I use Scraping Dino Reddit Popular Subreddits with the Scrapy.io API?

Can I use Scraping Dino Reddit Popular Subreddits through an MCP server?

Scraping Dino Reddit Popular Subreddits is not working — what should I do?

Your feedback

Scraping Dino Reddit Popular Subreddits

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Popular Subreddits extract?

How to run on Scrapy.io

Search intent and keywords