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Export posts submitted by Reddit users with sort and time filters — structured publishing history for research and creator analysis.
Export posts submitted by Reddit users with sort and time filters — structured publishing history for research and creator analysis.
Pull a user’s submitted posts into clean rows for analysis.
On Scrapy.io, Scraping Dino Reddit User Posts by Scraping Dino is built for reddit user posts scraper workflows — run from the Store, schedule recurring jobs, or POST to scrapingdino.p.scrapy.io from your stack.
maxResultsReddit 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 user posts 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 Reddit User Posts 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.
This reddit user posts scraper on Scrapy.io exports structured fields including:
For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.
Teams discover Scraping Dino Reddit User Posts while researching reddit user posts 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.
Use this checklist before your first production run of Scraping Dino Reddit User Posts:
maxResults, maxReviews, or equivalent limits so a full batch stays within budgetscrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/api or create a scheduled jobMost teams keep a "golden" input file in git for Scraping Dino Reddit User Posts so staging and production use identical payloads. Update that file when you add keywords, targets, or communities — not the orchestration code around it.
Pull submitted posts for one or more usernames with optional sort and time filters.
Configure the run in the Scrapy.io input form or pass JSON to the publisher API.
{
"usernames": [
"spez",
"GoldenChrysus"
],
"mode": "posts",
"sort": "new",
"time": "year",
"maxResults": 50
}| Field | Type | Required | Description |
|---|---|---|---|
usernames | string[] | Yes | Reddit usernames to scrape posts from. Enter one per line |
mode | string | No | Which post listing to fetch: posts or top |
sort | string | No | Sort order when mode is posts: new or hot |
time | string | No | Time range when mode is top |
maxResults | integer | No | Maximum number of posts to fetch per user |
Results appear in the Scrapy.io run Output tab. Posts and Errors tables.
Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.
[
{
"type": "post",
"username": "example_user",
"subreddit": "startups",
"title": "Example submission",
"score": 120,
"numComments": 18,
"postUrl": "https://www.reddit.com/r/startups/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.
map what topics a user publishes
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.
track rivals’ Reddit publishing cadence
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.
inspect historical posts before partnerships
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.
resolve posts then attach comment trees
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.
Post-history export with ops-friendly caps and columns. Prefer Scraping Dino when user posts are an enrichment step in a larger pipeline.
Scraping Dino Reddit User Posts is rarely the only step in a data workflow. Teams typically:
See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.
Most production deployments follow the same shape:
postUrl, placeId, videoId, reviewId, …) plus scrape date where history mattersScraping Dino Reddit User Posts 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.
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 User Posts 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.
Scraping Dino Reddit User Posts runs on Scrapy.io support multiple ways to get data out:
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.
Run Scraping Dino Reddit User Posts once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:
scrapingdino.p.scrapy.io on a queueScraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.
curl -X POST "https://scrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/api" \
-H "Content-Type: application/json" \
-H "X-API-Key: YOUR_API_KEY" \
-d '{
"usernames": ["spez"],
"sort": "new",
"maxResults": 50
}'Bulk runs via the scraper endpoint:
curl -X POST "https://scrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/scraper" \
-H "Content-Type: application/json" \
-H "X-API-Key: YOUR_API_KEY" \
-d '{
"usernames": ["spez"],
"sort": "new",
"maxResults": 50
}'Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.
Scraping Dino Reddit User Posts 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 User Posts 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 |
Use mode: top for quick highlights; posts + sort: new for full recent history
Batch creator lists from your CRM for weekly refresh jobs
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
maxResults per userScraping Dino Reddit User Posts 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.
$0.50 per 1,000 posts. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.
Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.
Yes. POST to https://scrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.
Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Reddit User Posts from AI assistants and agent workflows.
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.
Pull a user’s submitted posts into clean rows for analysis.
On Scrapy.io, Scraping Dino Reddit User Posts by Scraping Dino is built for reddit user posts scraper workflows — run from the Store, schedule recurring jobs, or POST to scrapingdino.p.scrapy.io from your stack.
maxResultsReddit 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 user posts 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 Reddit User Posts 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.
This reddit user posts scraper on Scrapy.io exports structured fields including:
For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.
Teams discover Scraping Dino Reddit User Posts while researching reddit user posts 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.
Use this checklist before your first production run of Scraping Dino Reddit User Posts:
maxResults, maxReviews, or equivalent limits so a full batch stays within budgetscrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/api or create a scheduled jobMost teams keep a "golden" input file in git for Scraping Dino Reddit User Posts so staging and production use identical payloads. Update that file when you add keywords, targets, or communities — not the orchestration code around it.
Pull submitted posts for one or more usernames with optional sort and time filters.
Configure the run in the Scrapy.io input form or pass JSON to the publisher API.
{
"usernames": [
"spez",
"GoldenChrysus"
],
"mode": "posts",
"sort": "new",
"time": "year",
"maxResults": 50
}| Field | Type | Required | Description |
|---|---|---|---|
usernames | string[] | Yes | Reddit usernames to scrape posts from. Enter one per line |
mode | string | No | Which post listing to fetch: posts or top |
sort | string | No | Sort order when mode is posts: new or hot |
time | string | No | Time range when mode is top |
maxResults | integer | No | Maximum number of posts to fetch per user |
Results appear in the Scrapy.io run Output tab. Posts and Errors tables.
Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.
[
{
"type": "post",
"username": "example_user",
"subreddit": "startups",
"title": "Example submission",
"score": 120,
"numComments": 18,
"postUrl": "https://www.reddit.com/r/startups/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.
map what topics a user publishes
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.
track rivals’ Reddit publishing cadence
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.
inspect historical posts before partnerships
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.
resolve posts then attach comment trees
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.
Post-history export with ops-friendly caps and columns. Prefer Scraping Dino when user posts are an enrichment step in a larger pipeline.
Scraping Dino Reddit User Posts is rarely the only step in a data workflow. Teams typically:
See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.
Most production deployments follow the same shape:
postUrl, placeId, videoId, reviewId, …) plus scrape date where history mattersScraping Dino Reddit User Posts 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.
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 User Posts 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.
Scraping Dino Reddit User Posts runs on Scrapy.io support multiple ways to get data out:
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.
Run Scraping Dino Reddit User Posts once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:
scrapingdino.p.scrapy.io on a queueScraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.
curl -X POST "https://scrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/api" \
-H "Content-Type: application/json" \
-H "X-API-Key: YOUR_API_KEY" \
-d '{
"usernames": ["spez"],
"sort": "new",
"maxResults": 50
}'Bulk runs via the scraper endpoint:
curl -X POST "https://scrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/scraper" \
-H "Content-Type: application/json" \
-H "X-API-Key: YOUR_API_KEY" \
-d '{
"usernames": ["spez"],
"sort": "new",
"maxResults": 50
}'Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.
Scraping Dino Reddit User Posts 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 User Posts 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 |
Use mode: top for quick highlights; posts + sort: new for full recent history
Batch creator lists from your CRM for weekly refresh jobs
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
maxResults per userScraping Dino Reddit User Posts 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.
$0.50 per 1,000 posts. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.
Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.
Yes. POST to https://scrapingdino.p.scrapy.io/reddit-user-posts-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.
Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Reddit User Posts from AI assistants and agent workflows.
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.
