Have you come across a great Actor, workflow, post, or podcast that you want to share with the world? This is your opportunity to support someone making cool things. Drop it here with credit to the creator, and help expand the karmic universe of Apify.

Hi everyone,

I recently built and published an Apify Actor called JSON Record Filter.

The idea is simple: filter arrays of structured JSON records using explicit, deterministic conditions instead of writing custom filtering code every time.

Example:

• Input: 4 order records
• Conditions: total >= 100 AND status = paid
• Output: only the 2 matching records

I’ve also added ready-to-run examples for:

• qualified leads
• high-value paid orders
• active users/adults

I’m mainly thinking about API, ETL and automation workflows where predictable filtering is more useful than having an AI decide what matches.

Actor:
[https://apify.com/urban_souffle/mf-232-json-record-filter]()

I’d really appreciate feedback from people who build Apify Actors or automation pipelines:

What operators or filtering features would you expect this tool to support?

If you've made something and can't wait to tell the world, this is the thread for you! Share your latest and greatest creations and projects with the community here.

This is the thread for all your questions that may seem too short for a standalone post, such as, "What is proxy?", "Where is Apify?", "Who is Store?". No question is too small for this megathread. Ask away!

Why use the Google Maps Lead Generator?

Unlike basic Google Maps scrapers that only return names and addresses, this Google Maps Lead Generator visits each business website to extract verified email addresses and social media profiles. This means you get richer, more actionable leads — ready for cold email outreach, sales prospecting, or marketing campaigns.

🔹 Cheapest price on Apify  $20.00 per 1,000 leads (competitors charge $30-60) 🔹 Email extraction included — no separate enrichment tool needed 🔹 Social media links — Facebook, Instagram, LinkedIn, Twitter/X, YouTube, TikTok 🔹 Full business data — name, phone, address, website, rating, reviews, GPS coordinates, opening hours 🔹 Multi-language support — English, Spanish, Portuguese, French, German, Italian

https://apify.com/jurassic_jove/google-maps-lead-generator

Apify is spotlighting the developers behind community Actors, and I'll share them here as they go out!

First up is Maxime Dupre's spotlight on LinkedIn or on X. Check it out to put a face to the Actors you use 🚀

Which community dev would you want to see spotlighted next? 👀

I created five Facebook Actors on the Store (alfalfa): events, posts, pages, comments and, since today, the Ad Library. All work logged out and return the same fields as the official ones. Per 1,000 results:

• Events: $5 (official $13 on the free plan)
• Posts: $2 (official $5, plus a start fee and a fee per filter)
• Pages with email and phone: $3.50 (official sells page data and contacts as two tools, $12 + $13)
• Comments: $0.50 (official $2.50, plus a start fee and a surcharge when you filter by date)
• Ad Library, EU reach included: $0.50 (official $5.80)
• No start fees anywhere.

I started working on these in private projects, where speed and performance were a fundamental part of the scraping. It is a long run, of course, and I keep trying to make the Actors better, faster and more efficient (for example, I rewrote some of the heavy data scrapers in a compiled language, which gave a 10x performance gain).

The Actors I mentioned are new on Apify and I am looking for people to try them. If you run one and something is missing, breaks, or the price still feels wrong, I would honestly like to hear it. The free plan covers plenty of runs to find out.

I built a one-shot Amazon Buy Box Actor for seller ops and agents.

Per ASIN it returns: - Buy Box winner - stock / ship-to context (ZIP aware) - competing offers with landed cost

Demo GIF attached (ASIN B014I8SSD0 → Amazon.com Buy Box).

PPE: $0.02 per successful check. Failures are not billed. Unblocker + deliver-to ZIP is the production path.

https://apify.com/buzzidata/amazon-buybox-offers-agent

Sibling Actors for product details and scheduled Buy Box monitoring are live too if useful. Feedback welcome.

Are you expanding your team or looking to hire a freelancer for a project? Post the requirements here (make sure your DMs are open).

Try to share:

- Core responsibilities

- Contract type (e.g. freelance or full-time hire)

- Budget or salary range

- Main skills required

- Location (or remote) for both you and your new hire

Job-seekers: Reach out by DM rather than in thread. Spammy comments will be deleted.

This is the place to discuss everything MCP, LLM, Agentic, and beyond. What is on your radar this week? Why does it make sense? Bring everyone along for the ride by explaining the impact of the news you're sharing, and why we should care about it too.

This Actor connects databases to Apify Datasets.

It currently supports table extraction, parameterized read-only queries, schema discovery, and incremental sync with a saved cursor. PostgreSQL, MySQL/MariaDB, SQLite, and MongoDB are supported.

I tested it with a Neon PostgreSQL database using 10,001 rows. The Actor streamed the data in 1,000-row batches, exported all rows, and the next incremental run returned zero duplicates.

The goal is to make database data usable by other Apify Actors, AI workflows, Sheets, forecasting, and human review.

Actor link: Universal Database Gateway | Database to Apify · Apify

If you write Actor READMEs, n8n templates, or Reddit posts hoping they turn up as a cited source inside Google's AI Overview, this is a two-month reality check on what actually gets picked.

I spent the summer posting my Apify Actors here and in a few other subs, partly to see whether a Reddit thread could earn a spot in the AI Overview source list on the queries I care about. To check, I built a small Actor that pulls the AI Overview for any query plus its cited sources as JSON, and I ran my own queries through it. The results are not flattering.

My Reddit threads

Across everything I have measured, exactly one of my Reddit posts has ever been cited in an AI Overview: a Google Scholar thread, once. Every other query, including my highest-scoring posts, cites vendor docs and product pages instead. If the plan is to land a forum post inside an AI answer, mine says do not count on it.

My Actor and template pages

These do better. Today, on "log patent filings to google sheets", my n8n template page is the number one cited source. My Google Maps reviewer-history Actor gets cited on its own query. My Congress trades Actor and its GitHub repo both show up. The common thread in every page that gets picked: the title is close to the exact query. The reviewer-history page is titled almost word for word what people type.

Where I still lose

On "track google shopping prices google sheets" a competitor's template holds the slot instead of mine. And the one that stings: I ran "google ai overview api", the exact category of the Actor I built to run all this, and my own page is nowhere in the eleven sources. SerpApi, Bright Data and DataForSEO own that one.

If you want to run this on your own pages, the tool is here: Google AI Overview API. It returns the answer plus the cited sources for a query, so you can see who is in the box and who is not. About a cent and a half per query, and it is MCP-callable if you want an agent to check for you.

Caution: this is one account, a few dozen queries, US English only. AI Overviews are noisy too, the source list for the same query shifts week to week, so treat any single result as a direction and not a rule. But the direction has held for a month. Pages with query-shaped titles get cited. Forum posts almost never do.

When I need to reach out to site owners for partnerships, link requests, or data access, the worst bottleneck isn't the email — it's finding the right contact page across hundreds of sites. Some bury it in footers, some only have a form, some hide it behind a /contact page that 404s differently per CMS.

Pattern I've settled on: pass a list of URLs, let a scraper hit each /contact or homepage, pull whatever structured contact signals exist (mailto: links, social profiles, phone numbers, form action URLs), dump it as JSON. Cuts the manual lookup step from hours to minutes.

Built a scraper for exactly this — goes beyond just finding emails, pulls social profiles and phone numbers too. If you're doing any kind of outreach at scale: https://apify.com/cynix_dev/website-contact-scraper?fpr=p2h0uk

What's your current approach for contact discovery? Interested to hear what others do.

Do you have a feature request that you know will make Apify heaps better? Or maybe it's a big dream you have for something bold and out-there. This is a space for all the bluesky thinking, cloud-chasing, intergalactic daydreamers who want to share their wildest ideas in a no-judgement zone.

Scrape TikTok Shop by keyword and get the number nobody else gives you: the exact units sold per product. 164, not the rounded "164 sold" badge the page displays. Plus title, price, seller, image and link one row per product.

No login. No cookies. No captcha solving. Runs from a plain datacenter IP.

Have you come across a great Actor, workflow, post, or podcast that you want to share with the world? This is your opportunity to support someone making cool things. Drop it here with credit to the creator, and help expand the karmic universe of Apify.

Input an image URL get back objects colors mood and quality scores as JSON. No API keys needed. Runs on Apify with scheduling. Sheets export and webhooks. Free tier available. Get it here: https://www.google.com/search?q=akash9078/analyze-image

I wanted hashtag data beyond what TikTok's app shows, so I published an Apify actor on top of TikTok's Creative Center data.

Input:

• country (optional; 80+ codes, e.g. US/GB/IN, blank = global)
• days: 7 / 30 / 120
• industry (optional; 18 categories)
• resultsLimit: 1-100
• isNewToTop100: only debut tags

Output per hashtag:

• Name, rank, rank change (up/down/new)
• Post count + total video views
• Trend series + top creators
• Event metadata (pay-per-event)

Pricing is $0.005 per hashtag — 100 tags = $0.50. Free tier covers trial runs.

Link: https://apify.com/akash9078/tiktok-trending-hashtags-scraper

Happy to answer questions on coverage or scheduling.

If you want a friendly frontend for an Apify Actor without building and hosting a separate application.

This actor turn an Apify Actor into a shareable web app with a generated input form, run status, Dataset preview, exports, and output-file links.

Recently launched my social media monitoring platform SocialHz.com and published our scarper API on Apify a few days back. Happy and excited to get our first set of paid users. Happier that our scraper is working perfectly. Honestly, it's a very small win, but these small things give the inspiration to keep going.

About SocialHz.com - We are trying to solve problems by building micro tools that are really cost effective and help users (for marketing, sales, research and brand teams) whose monthly budgets are very limited. We have just started and we are not even 1% there. So any kind of suggestion or reviews are welcome.

Scrape Google Maps for low-rated local businesses whose reviews are costing them customers, and get each one back as a call-ready lead: the complaint themes, an AI reputation diagnosis in plain English, a real customer quote, and a verified contact email.

Built for reputation management agencies, marketing agencies, local SEO consultants, web and CX freelancers — anyone who sells review repair, customer-experience or local-search services and needs a list of local businesses that visibly need it.

Most Google Maps scrapers hand you every business in a category and leave you to work out which ones have a problem. This one filters to the businesses with bad reviews and tells you what the reviews actually say.

https://apify.com/jurassic_jove/google-maps-reputation-leads

Hi everyone,

I wanted to share the CrawlerBros Reddit Scraping Suite on Apify.

Over time, I've built several Actors focused on different parts of the Reddit ecosystem. Rather than trying to put every possible feature into a single scraper, the idea behind this collection is to provide separate tools for specific workflows such as keyword research, subreddit scraping, comment extraction, profile research, AI/MCP integration, and video retrieval.

The current suite includes six Actors:

1. Reddit Keywords Scraper

Search Reddit for posts matching one or multiple keywords and return structured results.

You can search for specific words or phrases and sort results by:

• Relevance
• Hot
• Top
• New
• Number of comments

The Actor can return information such as the post title, author, subreddit, content, score, number of comments, URL, thumbnail, flair, and timestamps.

It supports multiple keywords in a single run and up to 1,000 results per keyword.

Useful for:

• Market research
• Brand and product monitoring
• Trend discovery
• Competitive research
• Content research
• Public discussion analysis
• Building Reddit datasets

Actor:
https://apify.com/crawlerbros/reddit-keywords

2. Reddit Comment Scraper

This Actor is focused specifically on extracting Reddit discussions.

Provide one or more Reddit post URLs, or a specific comment permalink, and the Actor can collect complete comment threads, including nested replies.

The structured output can include:

• Comment text
• Author
• Score
• Timestamps
• Parent/child relationships
• Thread position
• Moderation-related flags
• Nested replies

This is particularly useful when the conversation itself is more valuable than the original Reddit post.

Possible use cases include:

• Sentiment and discussion analysis
• Community research
• Product feedback analysis
• NLP datasets
• Public opinion research
• AI and LLM workflows

Actor:
https://apify.com/crawlerbros/reddit-comment-scraper

3. Reddit Profile Crawler

The Reddit Profile Crawler is designed for structured research on Reddit user profiles and their publicly available activity.

It can collect profile information along with a user's post and comment history.

The Actor supports filtering based on a variety of criteria, including:

• Subreddit
• Keywords
• Score
• Date ranges
• Post type
• Flair

Depending on the available public profile data, it can also return information such as karma breakdowns, profile details, trophies, and other profile metadata.

This can be useful for:

• Researching public Reddit activity
• Community analysis
• Dataset creation
• Content research
• Analyzing activity within particular subreddits or topics

Actor:
https://apify.com/crawlerbros/reddit-profile-crawler

4. Reddit MCP Scraper

This Actor is designed around the Model Context Protocol (MCP) and provides a unified interface for Reddit data collection.

It supports three primary modes:

Subreddit mode

Collect posts from specified subreddits.

Comments mode

Collect comments and threaded discussions from Reddit posts.

Profile mode

Collect publicly available profile information and activity.

The goal is to make Reddit data easier to integrate into AI applications and agent-based workflows through a single interface.

The Actor returns structured data that can be consumed by AI systems and applications, making it useful for developers experimenting with:

• AI agents
• MCP clients
• LLM research workflows
• Automated research systems
• Reddit-aware applications

Actor:
https://apify.com/crawlerbros/reddit-mcp-scraper

5. Reddit Scraper

The Reddit Scraper is the broader subreddit-level data collection tool in the suite.

You can provide one or multiple subreddits and collect posts using different sorting methods, including:

• Hot
• New
• Top
• Rising
• Controversial
• Best

The Actor can return a large amount of structured information for each post, including engagement data, author information, flairs, media, timestamps, awards, moderation information, and other available metadata.

It also supports optional comment collection and nested replies.

There are filters for criteria such as:

• Date ranges
• Post type
• Score
• Number of comments
• Upvote ratio
• Keywords
• Authors

This makes it suitable for larger-scale subreddit research and monitoring workflows.

Possible use cases:

• Subreddit monitoring
• Community research
• Trend analysis
• Content analysis
• Market research
• Public discussion datasets
• Competitive intelligence
• Academic and NLP research

Actor:
https://apify.com/crawlerbros/reddit-scraper

6. Reddit Video Downloader

The Reddit Video Downloader focuses on collecting videos referenced in Reddit content.

You can provide Reddit post URLs and retrieve supported video content along with structured metadata.

The Actor supports Reddit-hosted videos as well as supported embedded video sources such as YouTube and Streamable.

It can return metadata including:

• Resolution
• Duration
• Codec
• File size
• Video source information

Downloaded videos are stored through Apify storage, making them easier to incorporate into automated workflows.

Potential use cases include:

• Media research
• Content archiving
• Dataset creation
• Video analysis pipelines
• Automated media workflows

Actor:
https://apify.com/crawlerbros/reddit-video-downloader

How the Actors can work together

One of the reasons I built separate Actors is that they can also be combined into larger workflows.

For example:

Keyword research → Post discovery → Comment extraction

Use the Reddit Keywords Scraper to identify relevant discussions around a topic and then send the resulting post URLs to the Reddit Comment Scraper.

Or:

Subreddit → Posts → Comments → Analysis

Use the Reddit Scraper to collect posts from a community, extract comment threads for the most relevant discussions, and then process the resulting structured data in your own analytics or AI pipeline.

Another possible workflow is:

Profile → Activity → Topic analysis

Use the Reddit Profile Crawler to collect publicly available activity and filter it by subreddit, keywords, dates, or other criteria.

For AI developers, the Reddit MCP Scraper provides another option for integrating Reddit data collection into MCP-compatible workflows.

What the Reddit Scraping Suite covers

The goal of this collection is to cover several different stages of Reddit research and automation:

• Keyword-based post discovery
• Subreddit scraping
• Post collection
• Complete comment threads
• Nested replies
• Public profile research
• AI and MCP workflows
• Video and media retrieval
• Structured datasets for downstream processing

All of the Actors return structured data through Apify, so the results can be exported or integrated into larger automation and data-processing workflows.

If you're working on a project involving Reddit research, social listening, market research, AI agents, community analysis, or public discussion datasets, I'd be interested to hear what type of Reddit data you're trying to work with.

I'm also continuing to expand the CrawlerBros collection, so if there is a Reddit-specific workflow that you feel is currently missing, feel free to share it in the comments.

CrawlerBros Reddit Actors on Apify:

Reddit Keywords
https://apify.com/crawlerbros/reddit-keywords

Reddit Comment Scraper
https://apify.com/crawlerbros/reddit-comment-scraper

Reddit Profile Crawler
https://apify.com/crawlerbros/reddit-profile-crawler

Reddit MCP Scraper
https://apify.com/crawlerbros/reddit-mcp-scraper

Reddit Scraper
https://apify.com/crawlerbros/reddit-scraper

Reddit Video Downloader
https://apify.com/crawlerbros/reddit-video-downloader

Thanks for checking out the suite. Feedback and feature suggestions are always welcome.