Reddit Subreddit Posts Scraper

Scraper

$0.5/1000

results

Export posts from one or more subreddits across hot, new, top, rising, and controversial feeds. Structured feeds for monitoring and content research. $0.50 per 1,000 posts.

Scraping Dino

4.5(2)

Try it out

Reddit Subreddit Posts Scraper

Scraper

Export posts from one or more subreddits across hot, new, top, rising, and controversial feeds. Structured feeds for monitoring and content research. $0.50 per 1,000 posts.

Scraping Dino

4.5(2)

$0.5/1000results

Try it out

Scraping Dino Subreddit Post Feeds

Keep community feeds flowing into your database on a schedule.

On Scrapy.io, Scraping Dino Subreddit Post Feeds 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

Scrapes posts from listed subreddits
Modes: hot, new, top, rising, controversial
Time filter for top/controversial; maxResults per subreddit

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 Post Feeds 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 Post Feeds extract?

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

Title — Post headline
Author — Poster username
Subreddit — Source community
Score — Upvote count
Comments — Comment count
Permalink — Relative or absolute post link
Feed type — hot, new, top, etc.

How to run on Scrapy.io

Open Scraping Dino Subreddit Post Feeds 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 Post Feeds 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 Post Feeds:

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-posts-scraper/v1/api or create a scheduled job

Most teams keep a "golden" input file in git for Scraping Dino Subreddit Post Feeds 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 subreddit names or URLs, then pick a feed mode and optional time window.

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

Input JSON example

{
  "subreddits": [
    "askreddit",
    "python"
  ],
  "mode": "hot",
  "time": "week",
  "maxResults": 75
}

Field	Type	Required	Description
`subreddits`	string[]	Yes	Subreddit names to scrape posts from. Enter one per line — plain names or r/name are accepted
`mode`	string	Yes	Choose which subreddit feed to scrape
`time`	string	No	Only applies when Feed Type is Top or Controversial
`maxResults`	integer	No	Maximum number of posts to scrape per subreddit

Output

Results appear in the Scrapy.io run Output tab. Posts 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": "post",
    "subreddit": "SaaS",
    "feedType": "hot",
    "title": "Example subreddit post",
    "author": "founder_123",
    "score": 89,
    "numComments": 34,
    "postUrl": "https://www.reddit.com/r/SaaS/comments/abc123/example/"
  }
]

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 monitoring

daily snapshots of key subs

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.

Content mining

harvest high-performing titles and formats

Competitive intel

watch rival brand mentions in niche subs

Product feedback

collect recurring complaints and feature asks

Why Scraping Dino

Designed as a reliable feed connector: clear modes, caps, and columns that land cleanly in warehouses. Prefer Scraping Dino when subreddit monitoring is an always-on job, not a weekend experiment.

Pipeline patterns with Scraping Dino

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

Run hot/new on a cron for each priority subreddit in your monitoring list
Join feed snapshots on postUrl to build engagement time series
Hand off top posts to Reddit Comment Tree Scraper for discussion mining

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

Loading Scraping Dino Subreddit Post Feeds 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 Post Feeds 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 Post Feeds 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 Post Feeds 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 Post Feeds 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 Post Feeds 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 posts

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-posts-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["SaaS", "startups"],
    "feed": "hot",
    "maxResults": 50
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-posts-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["SaaS", "startups"],
    "feed": "hot",
    "maxResults": 50
  }'

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

MCP and agent workflows

Scraping Dino Subreddit Post Feeds 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 Post Feeds 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

Monitor 10–20 subs per run; shard larger lists across scheduled jobs
Use maxResults to control daily row volume and spend
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

Private or banned subreddits may return errors
Top/controversial feeds require an appropriate time window

Scraping Dino Subreddit Post Feeds 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 Post Feeds cost?

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

Can I integrate Scraping Dino Subreddit Post Feeds 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 Post Feeds with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-subreddit-posts-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 Post Feeds through an MCP server?

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

Scraping Dino Subreddit Post Feeds 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.

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Scraping Dino Subreddit Post Feeds

Keep community feeds flowing into your database on a schedule.

What it does

Scrapes posts from listed subreddits
Modes: hot, new, top, rising, controversial
Time filter for top/controversial; maxResults per subreddit

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Subreddit Post Feeds extract?

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

Title — Post headline
Author — Poster username
Subreddit — Source community
Score — Upvote count
Comments — Comment count
Permalink — Relative or absolute post link
Feed type — hot, new, top, etc.

How to run on Scrapy.io

Open Scraping Dino Subreddit Post Feeds 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 Post Feeds:

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-posts-scraper/v1/api or create a scheduled job

Input

List subreddit names or URLs, then pick a feed mode and optional time window.

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

Input JSON example

{
  "subreddits": [
    "askreddit",
    "python"
  ],
  "mode": "hot",
  "time": "week",
  "maxResults": 75
}

Field	Type	Required	Description
`subreddits`	string[]	Yes	Subreddit names to scrape posts from. Enter one per line — plain names or r/name are accepted
`mode`	string	Yes	Choose which subreddit feed to scrape
`time`	string	No	Only applies when Feed Type is Top or Controversial
`maxResults`	integer	No	Maximum number of posts to scrape per subreddit

Output

Results appear in the Scrapy.io run Output tab. Posts 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": "post",
    "subreddit": "SaaS",
    "feedType": "hot",
    "title": "Example subreddit post",
    "author": "founder_123",
    "score": 89,
    "numComments": 34,
    "postUrl": "https://www.reddit.com/r/SaaS/comments/abc123/example/"
  }
]

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 monitoring

daily snapshots of key subs

Content mining

harvest high-performing titles and formats

Competitive intel

watch rival brand mentions in niche subs

Product feedback

collect recurring complaints and feature asks

Why Scraping Dino

Pipeline patterns with Scraping Dino

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

Run hot/new on a cron for each priority subreddit in your monitoring list
Join feed snapshots on postUrl to build engagement time series
Hand off top posts to Reddit Comment Tree Scraper for discussion mining

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

Loading Scraping Dino Subreddit Post Feeds 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 Post Feeds on Scrapy.io?

Export formats and delivery

Scraping Dino Subreddit Post Feeds 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 Post Feeds 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 posts

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-posts-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["SaaS", "startups"],
    "feed": "hot",
    "maxResults": 50
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-subreddit-posts-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "subreddits": ["SaaS", "startups"],
    "feed": "hot",
    "maxResults": 50
  }'

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

Monitor 10–20 subs per run; shard larger lists across scheduled jobs
Use maxResults to control daily row volume and spend
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

Private or banned subreddits may return errors
Top/controversial feeds require an appropriate time window

Frequently asked questions

How much does Scraping Dino Subreddit Post Feeds cost?

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

Can I integrate Scraping Dino Subreddit Post Feeds 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 Post Feeds with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-subreddit-posts-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 Post Feeds through an MCP server?

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

Scraping Dino Subreddit Post Feeds 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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Reddit Subreddit Posts Scraper

Reddit Subreddit Posts Scraper

Scraping Dino Subreddit Post Feeds

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Subreddit Post Feeds 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 monitoring

Content mining

Competitive intel

Product feedback

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Subreddit Post Feeds data into your warehouse

Build vs. buy: why use Scraping Dino Subreddit Post Feeds 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 Post Feeds cost?

Can I integrate Scraping Dino Subreddit Post Feeds with other apps?

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

Can I use Scraping Dino Subreddit Post Feeds through an MCP server?

Scraping Dino Subreddit Post Feeds 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 Post Feeds

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Subreddit Post Feeds 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 monitoring

Content mining

Competitive intel

Product feedback

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Subreddit Post Feeds data into your warehouse

Build vs. buy: why use Scraping Dino Subreddit Post Feeds 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 Post Feeds cost?

Can I integrate Scraping Dino Subreddit Post Feeds with other apps?

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

Can I use Scraping Dino Subreddit Post Feeds through an MCP server?

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

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor