Reddit Post Scraper

ScraperAPI

$0.5/1000

results

Resolve Reddit post URLs into clean metadata — title, author, score, media links, and optional duplicate posts. Built for enrichment queues. $0.50 per 1,000 posts.

Scraping Dino

4.7(3)

Try it out

Reddit Post Scraper

ScraperAPI

Resolve Reddit post URLs into clean metadata — title, author, score, media links, and optional duplicate posts. Built for enrichment queues. $0.50 per 1,000 posts.

Scraping Dino

4.7(3)

$0.5/1000results

Try it out

Scraping Dino Reddit Post Details

Paste post URLs; get structured post records you can join to tickets, CRM rows, or research sheets.

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

What it does

Fetches details for one or many Reddit post URLs
Optionally includes duplicate-post links for each URL
Returns title, body/media refs, author, subreddit, scores, and timestamps

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 web scraping reddit 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 Post Details 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 Post Details extract?

This web scraping reddit on Scrapy.io exports structured fields including:

Title — Post headline
Author — Poster username
Subreddit — Community
Score — Upvote count
Comments — Comment count
Body — Self-text or link preview
Post URL — Input URL
Created time — UTC timestamp

How to run on Scrapy.io

Open Scraping Dino Reddit Post Details 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 Post Details while researching web scraping reddit and related terms such as reddit web scraping, web scrape reddit, reddit scraper, scrape reddit. 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 Reddit Post Details:

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

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

Input

Paste one or many Reddit post URLs. Enable duplicates when you need cross-post detection.

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

Input JSON example

{
  "postUrls": [
    "https://www.reddit.com/r/oddlysatisfying/comments/1tg4gv5/a_turtle_giving_itself_a_scrub/"
  ]
}

Field	Type	Required	Description
`postUrls`	string[]	Yes	Full Reddit post URLs

Output

Results appear in the Scrapy.io run Output tab. Posts, Duplicates (when enabled), and Errors.

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",
    "title": "Example Reddit post",
    "author": "example_user",
    "subreddit": "python",
    "score": 142,
    "numComments": 28,
    "postUrl": "https://www.reddit.com/r/python/comments/abc123/example/",
    "body": "Post text content."
  }
]

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

Link enrichment

turn shared Reddit links into full context in your DB

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 audits

archive posts that mention your brand

Duplicate checks

find cross-posts of the same story

Queue seeding

resolve posts before running comment-tree jobs

Why Scraping Dino

Lightweight, URL-in / row-out design aimed at API and ETL callers. Prefer Scraping Dino when you need reliable post hydration without hauling an entire subreddit feed.

Pipeline patterns with Scraping Dino

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

Enrich CRM or ticket URLs before sending threads to Reddit Comment Tree Scraper
Use duplicate rows to study syndication across communities

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

Loading Scraping Dino Reddit Post Details 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 Post Details 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 Post Details 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 Post Details 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 Post Details 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 Post Details 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-post-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "postUrls": ["https://www.reddit.com/r/technology/comments/example/"],
    "includeDuplicates": false
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-post-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "postUrls": ["https://www.reddit.com/r/technology/comments/example/"],
    "includeDuplicates": false
  }'

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

MCP and agent workflows

Scraping Dino Reddit Post Details 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 Post Details 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

Batch hundreds of URLs per run for enrichment queues
Invalid URLs fail per-row — inspect the Errors view instead of retrying the whole job
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

Deleted or removed posts may return errors
Private or quarantined communities can block access

Scraping Dino Reddit Post Details 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 Reddit Post Details 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 Reddit Post Details 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 Post Details with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-post-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 Post Details through an MCP server?

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

Scraping Dino Reddit Post Details 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.

0.0136

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Scrape posts from Reddit subreddits via DataDoping Reddit API.

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Reddit Post Details Extractor

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Scrape Reddit post details and duplicate posts via DataDoping Reddit API.

4.5(2)104

Scraping Dino Reddit Post Details

Paste post URLs; get structured post records you can join to tickets, CRM rows, or research sheets.

What it does

Fetches details for one or many Reddit post URLs
Optionally includes duplicate-post links for each URL
Returns title, body/media refs, author, subreddit, scores, and timestamps

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Post Details extract?

This web scraping reddit on Scrapy.io exports structured fields including:

Title — Post headline
Author — Poster username
Subreddit — Community
Score — Upvote count
Comments — Comment count
Body — Self-text or link preview
Post URL — Input URL
Created time — UTC timestamp

How to run on Scrapy.io

Open Scraping Dino Reddit Post Details 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 Post Details:

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

Input

Paste one or many Reddit post URLs. Enable duplicates when you need cross-post detection.

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

Input JSON example

{
  "postUrls": [
    "https://www.reddit.com/r/oddlysatisfying/comments/1tg4gv5/a_turtle_giving_itself_a_scrub/"
  ]
}

Field	Type	Required	Description
`postUrls`	string[]	Yes	Full Reddit post URLs

Output

Results appear in the Scrapy.io run Output tab. Posts, Duplicates (when enabled), and Errors.

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",
    "title": "Example Reddit post",
    "author": "example_user",
    "subreddit": "python",
    "score": 142,
    "numComments": 28,
    "postUrl": "https://www.reddit.com/r/python/comments/abc123/example/",
    "body": "Post text content."
  }
]

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

Link enrichment

turn shared Reddit links into full context in your DB

Content audits

archive posts that mention your brand

Duplicate checks

find cross-posts of the same story

Queue seeding

resolve posts before running comment-tree jobs

Why Scraping Dino

Lightweight, URL-in / row-out design aimed at API and ETL callers. Prefer Scraping Dino when you need reliable post hydration without hauling an entire subreddit feed.

Pipeline patterns with Scraping Dino

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

Enrich CRM or ticket URLs before sending threads to Reddit Comment Tree Scraper
Use duplicate rows to study syndication across communities

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

Loading Scraping Dino Reddit Post Details 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 Post Details on Scrapy.io?

Export formats and delivery

Scraping Dino Reddit Post Details 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 Post Details 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-post-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "postUrls": ["https://www.reddit.com/r/technology/comments/example/"],
    "includeDuplicates": false
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-post-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "postUrls": ["https://www.reddit.com/r/technology/comments/example/"],
    "includeDuplicates": 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

Batch hundreds of URLs per run for enrichment queues
Invalid URLs fail per-row — inspect the Errors view instead of retrying the whole job
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

Deleted or removed posts may return errors
Private or quarantined communities can block access

Frequently asked questions

How much does Scraping Dino Reddit Post Details 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 Reddit Post Details 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 Post Details with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-post-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 Post Details through an MCP server?

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

Scraping Dino Reddit Post Details 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

ScraperAPI

$0.86

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

0.0136

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Scrape posts from Reddit subreddits via DataDoping Reddit API.

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Reddit Post Details Extractor

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Scrape Reddit post details and duplicate posts via DataDoping Reddit API.

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Reddit Post Scraper

Reddit Post Scraper

Scraping Dino Reddit Post Details

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Post Details 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

Link enrichment

Content audits

Duplicate checks

Queue seeding

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Reddit Post Details data into your warehouse

Build vs. buy: why use Scraping Dino Reddit Post Details 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 Reddit Post Details cost?

Can I integrate Scraping Dino Reddit Post Details with other apps?

Can I use Scraping Dino Reddit Post Details with the Scrapy.io API?

Can I use Scraping Dino Reddit Post Details through an MCP server?

Scraping Dino Reddit Post Details is not working — what should I do?

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor

Scraping Dino Reddit Post Details

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Post Details 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

Link enrichment

Content audits

Duplicate checks

Queue seeding

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Reddit Post Details data into your warehouse

Build vs. buy: why use Scraping Dino Reddit Post Details 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 Reddit Post Details cost?

Can I integrate Scraping Dino Reddit Post Details with other apps?

Can I use Scraping Dino Reddit Post Details with the Scrapy.io API?

Can I use Scraping Dino Reddit Post Details through an MCP server?

Scraping Dino Reddit Post Details is not working — what should I do?

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor