We built Documentation RAG Update Packager to help keep documentation-based RAG pipelines up to date. Supply Markdown and get version-specific chunks with source citations, content hashes, a manifest, and JSONL updates for new or changed documents. Embeddings, vector database updates, and stale-chunk cleanup remain in your own pipeline. $0.50 per completed package, including platform usage, for up to 25 documents. https://apify.com/autonome_bots/documentation-rag-update-packager

🚀 Tripadvisor Reviews Scraper > I built this: pull Tripadvisor reviews for hotels, restaurants and attractions as clean rows, with owner replies and sub-ratings, no login needed. What it does: • Scrape reviews by place URL, ID (hotel:188730) or just the place name • Get rating, full text, dates, trip type, author and photos for every review • Extract hotel and restaurant sub-ratings (rooms, service, food) plus the owner's reply • Filter by language, star rating, date, trip type and month written • Resume interrupted runs and schedule daily pulls with a 'reviews since' date Example use case: > Track new reviews and owner responses for your hotel or your competitors' hotels every morning, then push them to a sheet or Slack through a webhook. 🔗 https://apify.com/axlymxp/tripadvisor-reviews-scraper #tripadvisor #reviews #scraper #hospitality #apify

I built Greenhouse Watchlist Export for automation workflows that follow a known list of companies. It exports public job titles, locations and source links from 1–20 Greenhouse boards to JSON/CSV. Pass the previous snapshot to compare observations. The first run is a baseline, not a list of newly published vacancies; later checks can show tracked changes and posts absent from two complete checks. Price: $0.05 per completed watchlist, including run processing. Empty/unchanged checks also count. Saving/passing history is required; alerts are not built in. Here is a preconfigured Airbnb example you can duplicate and inspect: https://apify.com/downy_sublimity/greenhouse-watchlist-export/examples/export-airbnb-job-listings-to-csv-and-json I'm the developer. If you maintain a job-data workflow, which step is most painful: consistent exports, comparing history, or connecting results to your automation? Independent tool, not affiliated with Airbnb or Greenhouse.

🚀 Tripadvisor Places & Leads Scraper > I built this: turn any city into a Tripadvisor lead list of restaurants, hotels and attractions with phone, website and email, no login needed. What it does: • Scrape restaurants, hotels and attractions for any city, best ranked first • Get phone, website, email (where listed), address, coordinates, rating, rank, cuisines and awards • Keep only places with contact details, or filter by minimum rating and review count • Page through full city lists: a Paris test run returned 400 restaurants, 400 with a phone number • Schedule runs to track rank and rating changes of competitors Example use case: > Build a list of top-rated Lisbon restaurants with phone numbers and websites for a delivery, POS or marketing sales campaign. 🔗 https://apify.com/axlymxp/tripadvisor-places-leads-scraper #tripadvisor #leadgeneration #restaurants #hotels #apify

Hi all, I'm the developer behind Quietbyte. I published three pay-per-event Actors this week and would like feedback: - **ATS Jobs + Visa Tags**: public job boards on Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee in one feed, with visa/work-rights tags. https://apify.com/quietbyte/ats-jobs-visa ($0.0015/job) - **Remote Jobs by Country**: Himalayas, Jobicy, Remote OK and We Work Remotely, filtered to jobs open to a given country (e.g. PL). https://apify.com/quietbyte/remote-jobs-by-country ($0.0015/job) - **Podcast Transcripts from RSS**: reads publisher-provided

podcast:transcript

links only and outputs text, timestamped markdown or RAG chunks. No audio, no AI. https://apify.com/quietbyte/podcast-transcripts ($0.004/transcript) Bug reports and feature requests are welcome in the Issues tab on each Actor.

Hi Apify & Crawlee folks — I published DocPipe Verify, an Apify Actor for deterministic checks on structured invoice data before downstream posting or payment. It checks required fields, arithmetic, dates and currency, optional PO/vendor rules, and duplicates when priorInvoices are supplied. It returns PASS, REVIEW, or REJECT with canAutoPost, canAutoPay, and explicit hold reasons. It does not extract PDFs or post/pay invoices. I added five synthetic examples: valid with history, total mismatch, exact duplicate, missing required fields, and valid without duplicate history. I’d welcome feedback on the input/output contract and the checks you’d expect from an invoice-validation Actor. https://apify.com/pycasdesign/docpipe-verify

App Store Reviews Scraper + Google Play Reviews (All Countries) One app name, both stores, up to 58 countries, and a summary the store rating hides. This morning on Duolingo, 25 newest reviews per store in the US, UK, France and Germany: the stores show 4.72 and 4.73, the 200 newest reviews average 3.84 (App Store) and 4.09 (Google Play), and Germany is the outlier in both stores at 3.16 and 3.28, against 3.8 to 4.5 elsewhere. Most frequent words in the negative reviews: "annoying", "energy", "gems", "streak". Reviewer names stay off unless asked. Monitor mode returns only new reviews, with an alert on each new 1-2 star review. $0.20 per 1,000 reviews: https://apify.com/euroscrape/app-reviews

Follow-up to my post earlier today: a fourth Actor is live. Workday Jobs API with H-1B & UK Visa Sponsor Evidence reads any company's Workday careers site and backs each visa-sponsorship tag with official employer records: certified H-1B filings from the US Department of Labor, and the UK Home Office register of licensed sponsors. The reason it exists is that ads mentioning "visa sponsorship" usually refuse it, while silent ads often come from employers filing hundreds of petitions a year. $0.003 per job, and monitoring mode charges only for new jobs: https://apify.com/quietbyte/workday-jobs-visa -- write-up of how the employer matching works: https://dev.to/quietbytedev/does-this-company-really-sponsor-visas-i-joined-workday-job-ads-with-h-1b-and-uk-sponsor-records-4edc

Hey everyone! 👋 Sharing two Apify actors we built for lead generation: 📍 Google Maps Scraper: Extract business details, websites, and available emails. From $2.50/1,000 results, with emails included. 🔎 Sales Navigator Scraper: Export leads from a Sales Nav search URL, no cookies required. From $3/1,000 leads, with optional email enrichment. Give them a try! Happy to answer questions and hear your feedback.

check our updated instagram follower scraper tool Instagram Follower Scraper – Scrape Instagram Followers & Profile Data https://apify.com/bhansalisoft/instagram-follower-scraper

## New on Apify: B2B contact & profile data at launch prices We're new to the Store, so we priced low on purpose. Pay only for results, misses are free. No cookies, no LinkedIn account, no proxies Most used this week **LinkedIn Email Finder**: profile URL → email on record, ~90% hit rate on bulk lists · $8 / 1k found **LinkedIn Phone Number Finder**: profile URL → every number on record, US · $12 / 1k found **Company Employees**: domains in, current staff out, 230k rows pulled by one user this week · from $1.50 / 1k Prospecting **People Search**: title, seniority, employer, industry, country + free segment counts · $0.95 / 1k **Decision Maker Finder**: domain → founders, C-level, VPs · $3.20 / 1k **B2B Leads Finder**: ICP in, leads with a live email out · from $1.50 / 1k Enrichment **LinkedIn Profile Scraper**: full career history · $3.20 / 1k Profile Finder by Name & Company · $3.20 / 1k **Reverse Email Lookup**: email → person, title, company · $3.20 / 1k **Company by Domain**: domain → company profile · $5.50 / 1k Need bigger volume, a deeper discount or custom terms? DM me, happy to work something out

📞 Phone Number Lookup - Carrier, Line Type & E.164 Validator Validate, parse and enrich phone numbers at scale: country, carrier, line type (mobile / landline / VoIP), timezone and E.164 formatting. Bulk list cleaning for CRM, SMS and lead gen — no API key needed, pay per result from $1.50/1k. https://apify.com/unrivaled_fortress/phone-lookup

EU Public Tenders Scraper: TED, BOAMP, Awards & Tender Alerts One keyword in English, every language of the EU journal. "software" this afternoon: the 50 newest TED notices of the day, in 15 languages and 17 countries, same fields, values in euros. 29 state a value, 300 M euros in total; the biggest is Austria's federal "Cybersecurity 2027" framework, 149 M, deadline in 9 days. Days left: 2 to 62, median 30. Same Actor for French national tenders (BOAMP) and awarded contracts with winners and bids received; monitor mode sends only new notices to Telegram, Discord or Slack. $0.003 per notice, summary free: https://apify.com/euroscrape/eu-public-tenders

wechat actor (ALL-IN-ONE)https://apify.com/memo23/wechat-official-account-scraper

Built a job-postings scraper that reads the official public job-board APIs of Greenhouse, Lever and Ashby, the ATS platforms most tech companies and startups use. One run covers all three: paste company slugs or careers-page URLs (e.g. airbnb, https://jobs.lever.co/palantir, https://jobs.ashbyhq.com/ramp) and you get one clean table: title, department, location, remote flag, salary range where the company publishes it, posted/updated date, apply URL. "Only new since last run" + a daily schedule gives you a feed of new openings only. No proxies or browser, so runs take seconds. $0.75 per 1,000 jobs. → https://apify.com/vocal_rhapsody/greenhouse-lever-ashby-jobs Single-platform versions too: greenhouse-jobs, lever-jobs, ashby-jobs on the same profile. Feedback welcome. I built it.

Three pay-per-result Actors for official public data, all with "only new since last run" for daily lead feeds: SEC Form D filings: companies that just raised private money (issuer, state, industry, amount raised, offering size). Good for sales and investor lead lists. → https://apify.com/vocal_rhapsody/sec-form-d-filings UK new companies from Companies House: fresh incorporations by SIC code, location and company type. → https://apify.com/vocal_rhapsody/companies-house-new-companies US federal grant awards from USAspending: by program, agency and state. → https://apify.com/vocal_rhapsody/usaspending-grants Each has one-click example tasks ("Startups that just raised money", "New London companies", "NIH grants"). I built them.

Tools that give a wide variety of data, choose as per requirement: https://tacps126.github.io/tools/