Best Reddit Scraper APIs & Tools

Reddit is one of the richest public text datasets on the web: 100,000+ active communities, structured threads, votes, and timestamps that founders, marketers, and data teams mine for sentiment, research, and lead signals. The practical question is which tool pulls that reliably at volume, because the old free tricks broke and Reddit now walls unauthenticated scripts. This page compares the Reddit scraper APIs and tools I would actually shortlist in 2026, ranked on what decides a purchase: starting price, free tier, which Reddit data they return, and best fit. My top value pick for the API route is ChocoData; the strongest no-code and parsed-dataset picks are Apify and Bright Data. Every price and feature comes from the vendor’s own page in mid-2026, attributed inline.

One disclosure up front: bestscraperapi.com earns affiliate commissions from some of the vendors listed here. That does not change which tools make the list, how I rank them, or what I write. The pricing comes straight from each vendor’s own page, and the ranking follows documented price and features.

A second note on the performance numbers further down. The speed and success-rate figures are approximate, compiled from each vendor’s published figures plus aggregated public sources. They are not first-hand tests. Vendors measure on their own targets under their own conditions, so the numbers are directional. My independent, like-for-like Reddit benchmarks are in progress; see how we test for the methodology.

Pricing per each vendor’s pricing or product page, mid-2026. The tools bill in different units, so the starting prices are not directly comparable on volume: ChocoData sells requests or credits, Apify charges a monthly subscription plus per-result usage, Bright Data charges per delivered record, ScraperAPI sells credits, Scrapfly sells credits whose cost varies by features, and Oxylabs charges per successful result. Read the included volume next to each price before you budget.

1. ChocoData

ChocoData is my number one pick for pulling Reddit data through a real API rather than a no-code actor, because it exposes one universal endpoint plus 250+ dedicated endpoints and publishes the lowest paid entry price in this list. You point the universal endpoint at a Reddit listing, thread, or user URL and get the page back with residential IPs and JavaScript rendering handled, so you scrape Reddit alongside every other source through the same integration.

Pricing

Per ChocoData’s pricing page in mid-2026, the Free plan is $0 for 1,000 requests a month (5,000 credits) with 10 concurrent requests and no credit card. Vibe is $19/mo for 27,000 requests, Pro is $49/mo for 82,000 requests, and Custom runs $100-$2,000/mo for 200k to 4M+ requests. ChocoData bills 5 credits per request, with +10 for JavaScript rendering, and charges only 2xx responses, so a Reddit fetch that triggers the JS challenge and needs rendering costs more credits than a plain listing pull. Pay-as-you-go top-ups run $0.90 per 1,000 successful requests.

Standout features

Per ChocoData’s site in mid-2026, the universal endpoint follows a single REST pattern across 235 supported sites, and 250+ dedicated endpoints return validated structured JSON. Every plan includes the full residential proxy pool that rotates automatically, optional JavaScript rendering for the dynamic pages Reddit relies on, and dashboard analytics. One caveat worth stating plainly: ChocoData does not list a Reddit-specific dedicated endpoint on its site in mid-2026, so for Reddit you use the universal route and parse the fields you need. Confirm the current target list in its docs.

Best for

Teams pulling Reddit as one of several sources. For speed, ChocoData’s homepage publishes a median latency of 2.6s, p95 6s, and p99 around 10s across its 235 supported sites in mid-2026; it does not publish a headline success rate. If your project touches Reddit plus e-commerce, search, or other social data, paying one $19/mo entry price for the whole surface beats stacking single-purpose tools, and the free 1,000 requests let you prototype the Reddit pull before you pay. Try ChocoData.

2. Apify

Apify earns the number two slot for no-code Reddit work because its Reddit Scraper actor returns posts, comments, subreddits, and user profiles without you writing a line of scraper logic. You feed it subreddit URLs, search keywords, or author names, set a result cap, and it returns clean JSON.

Pricing

Per the trudax Reddit Scraper actor page in mid-2026, the actor lists a $45/mo subscription plus usage, with results costing “less than $4 in platform credits” per 1,000. Apify’s free plan gives $5 in monthly platform credit with no card (per its pricing page, mid-2026), which is enough to test the actor before you commit, and the cheapest paid platform plan is Starter at $29/mo. Note the actor subscription and the platform plan are separate line items, so budget both if you run the actor continuously.

Standout features

The actor captures, per the actor page in mid-2026: posts (title, text, username, comment count, votes, media, timestamps, URLs), comments (body, timestamps, points, usernames, reply counts), subreddits (name, member count, URL, category, description), and users (username, post and comment karma, profile icon, creation date, recent activity). It supports three input modes (by subreddit URL, by keyword search, by author) and exposes JavaScript, Python, CLI, REST API, and MCP integration. Reddit caps most lists around 1,000 items, which the actor respects, but it can pull unlimited comments within a single post.

Best for

Marketers, founders, and analysts who want Reddit data with zero scraper code and a low pay-as-you-go floor. For a fuller look at the platform, see my Apify review. If Reddit is your only target and the result cap fits your job, this is the fastest path from query to parsed records.

3. Bright Data

Bright Data is the pick when you need consistent parsed Reddit fields delivered in bulk, because it ships dedicated Reddit scrapers rather than a generic fetch. Per Bright Data’s Reddit web scraper page in mid-2026, it splits the job into separate Reddit Posts and Reddit Comments scrapers, each returning a defined field set.

Pricing

Bright Data bills per successfully delivered record, with no charge for failed deliveries. Per its page in mid-2026, the Free tier gives 5,000 records a month with no credit card, and pay-as-you-go is $1.50 per 1,000 records, with volume discounts at higher tiers that cut the per-record rate. The per-record model fits review-style mining where you want a predictable cost per data point rather than a credit budget you convert in your head.

Standout features

Per the Reddit scraper page in mid-2026, the Reddit Posts scraper returns post ID, URL, user posted, title, description, number of comments, date posted, and community name, among other fields. The Reddit Comments scraper returns URL, comment ID, user posted, comment body, date posted, post URL, post ID, and community name. Both support three collection methods: discovery by subreddit URL, search by keyword, and discovery by author. Bright Data’s infrastructure pages cite access to a large residential IP pool across 195 countries.

Where it falls short

The dedicated dataset model is built for bulk delivery, not interactive one-off lookups, so for a single thread you may find the universal APIs above quicker to wire up. Bright Data also does not publish a Reddit-specific request success rate on the scraper page, so treat reliability as a vendor uptime claim rather than a measured per-target figure. For a fuller breakdown, see my Bright Data review.

4. ScraperAPI

ScraperAPI is a credit-based universal API you point at any Reddit URL, and it suits teams that want one integration across many sites plus structured endpoints for e-commerce and SERP work alongside Reddit. It takes a URL and returns HTML or parsed JSON, handling proxy rotation, rendering, and anti-bot retries.

Pricing

Per ScraperAPI’s documentation in mid-2026, the free trial gives 5,000 credits for 7 days, after which the account drops to a 1,000-credit Free plan with 5 concurrent threads. Three paid tiers are spelled out with exact figures in its docs: Professional at $975/mo (10.5M credits, 300 threads) and Advanced at $1,975/mo (21.5M credits, 500 threads); the lower slider-priced tiers (commonly Hobby, Startup, Business) are not confirmed from a primary source, so confirm them on the ScraperAPI pricing page. The credit math matters for Reddit: a plain GET is 1 credit, but render=true for the JS challenge costs 10, and premium proxies cost 10 to 30, so your effective request budget is a fraction of the headline credit count.

Standout features

Per its docs in mid-2026, ScraperAPI runs on a pool of “over 40 million proxies,” with JavaScript rendering (render=true), 2-letter country geotargeting (country_code), sticky sessions, an async scraper for large batches, and structured-data endpoints for Amazon, Google, Walmart, and eBay. It has no Reddit-specific structured endpoint, so for Reddit you use the standard endpoint with rendering and parse the fields yourself. It only deducts credits for successful requests.

Best for

Developers who want a credit-based API across Reddit and other targets and value simple HTTP integration. For the full feature and cost breakdown, see my ScraperAPI review. Budget around the 10x render multiplier, since Reddit’s verification wall pushes many requests onto rendering.

5. Scrapfly

Scrapfly is the pick when Reddit’s JavaScript verification challenge is your main pain, because its Anti Scraping Protection is built to bypass exactly that kind of wall. You point it at any Reddit URL and let its bypass, proxy rotation, and rendering handle the parts that break DIY scripts.

Pricing

Per Scrapfly’s pricing page in mid-2026, the Free tier gives 1,000 API credits on signup with no credit card, Discovery is $30/mo for 200,000 credits, Pro is $100/mo for 1,000,000 credits, Startup is $250/mo for 2,500,000 credits, and Enterprise is $500/mo for 5,500,000 credits. Credit cost per request depends on the features you enable (JS rendering, ASP, residential proxies, country targeting), so estimate cost against your Reddit settings before you budget, because the verification challenge typically means rendering and ASP are both on.

Standout features

Per Scrapfly’s documentation in mid-2026, Anti Scraping Protection (asp=True) handles anti-bot bypass, proxy rotation, and browser fingerprinting automatically, with JavaScript rendering (render_js=True) and country targeting (country="US") as options. Credits are shared across its Web Scraping API, Cloud Browser, Screenshot API, Extraction API, and Crawler API, so a Reddit workload can draw on the same balance as screenshots or extraction rules.

Best for

Teams hitting blocks and verification challenges on Reddit at scale. Scrapfly does not publish a Reddit-specific success rate, so treat its ASP as a capability claim and test it against your subreddits. The 1,000 free credits are enough to confirm the bypass works on your targets before paying.

6. Oxylabs

Oxylabs rounds out the list as a general scraper API for teams already on its stack. Its Web Scraper API exposes a “Universal Source” for URLs not on its prebuilt list, which is the route for Reddit since Reddit is not among its named targets.

Pricing

Per Oxylabs’ Web Scraper API page in mid-2026, pricing starts at $0.25 per 1,000 results on a pay-only-for-successful-results basis, with a free trial of up to 2,000 results and no credit card. There is no fixed monthly floor on the base tier; you pay for what you pull. If you also need search data, its SERP-focused tier is priced separately, so check the live page for the current breakdown.

Standout features

Per Oxylabs’ product pages in mid-2026, the Web Scraper API supports the Universal Source for any URL including Reddit, JavaScript rendering, and structured, ready-to-use data where a target is supported. It bills only successful results, which caps the downside on Reddit pages that fail behind the verification wall. Oxylabs does not list a Reddit-specific endpoint, so you use the Universal Source and parse the returned page.

Where it falls short

I could not confirm a Reddit-specific success rate or concurrency figure on Oxylabs’ live pages at publish, so treat reliability as unverified for this target and test it yourself. The platform leans enterprise, so the value is strongest if you already run other Oxylabs products rather than adopting it for Reddit alone. For more, see my Oxylabs review.

How to choose the right one

Match the tool to your job rather than the headline price. The table below maps the common Reddit jobs onto the option I would shortlist for each.

The honest default for most developers: if your volume is moderate and you can authenticate, start with Reddit’s official OAuth Data API at 60 requests per minute for free. When you outgrow that, or need the JS-rendered public pages without OAuth, start on ChocoData’s free 1,000 requests and move to the $19 Vibe plan. If Reddit is your only target and you want zero code, try Apify’s Reddit Scraper on the $5 free credit. If you need deep, parsed post and comment history delivered in bulk, Bright Data’s per-record model and dedicated scrapers fit. If Reddit’s verification wall is your main blocker, Scrapfly’s ASP is built for it.

If you are building the extraction yourself instead of buying it, the same fundamentals apply: rotate IPs, render JavaScript where Reddit loads content client-side, and stay authenticated and inside the rate limit. My guides on web scraping and scraping without getting blocked cover the DIY path, and the dedicated how to scrape Reddit walkthrough shows the tested failures and the working OAuth and scraper-API methods with real output.

How we evaluated these

I picked these tools by matching each vendor’s documented Reddit support, pricing, and free tier against the jobs a Reddit scraping project actually runs, then ranked them on real value and price rather than payout. Every price and feature here comes from the vendor’s own pricing or product page in mid-2026, attributed inline; the speed and success figures are approximate, compiled from vendor-published numbers plus aggregated public sources, not first-hand, and my independent like-for-like benchmarks are in progress at how we test. Scraper-API pricing changes frequently and plans bill in different units (per request, per credit, per record, per result), so confirm the current number and the billing unit on each vendor’s own page before you budget.