I will set up an automated recurring web scraping data feed for you
About this gig
I will set up an automated recurring web scraping data feed that pulls fresh data from your target sites on a schedule and delivers it to you clean, structured, and ready to use — no manual copy-paste, ever again.
What you get
You get a fully operational, hands-off data pipeline built around the exact websites and data points you care about. This is not a one-time data dump — it is a recurring feed that keeps running on a schedule you choose, so the information stays current without you lifting a finger.
- A custom scraper tuned to your specific target site(s) and the exact fields you need (for example: product name, price, stock status, SKU, rating, URL, image link, seller, date, category, or any other visible field).
- A scheduling layer that runs the scrape automatically — hourly, every few hours, daily, or weekly — whatever cadence your use case requires.
- Clean, structured output delivered in your preferred format: CSV, JSON, Excel (.xlsx), or written directly into a Google Sheet or a database table (Postgres, MySQL, SQLite, MongoDB).
- Automated delivery so each run lands where you want it: emailed to you, dropped into Google Drive / Dropbox / S3, posted to a webhook, or pushed into your sheet/database.
- De-duplication and change tracking so you can see what is new, what changed, and what disappeared between runs (great for price drops, new listings, or stock alerts).
- Data cleaning built in: trimmed whitespace, normalized prices and currencies, consistent date formats, and removal of junk/HTML artifacts.
- Pagination and "load more" handling so the feed captures the full result set, not just page one.
- Basic anti-blocking measures: realistic request headers, polite rate limiting, retry logic on failures, and rotating proxies where your plan includes them.
- A short written setup guide so you understand exactly what the feed does, where it runs, and how to pause or adjust it.
- Light monitoring with failure notifications, so if a run breaks (site redesign, downtime), you find out rather than silently getting stale data.
Plans
| Feature | Basic | Standard | Premium |
|---|---|---|---|
| Target websites | 1 site | Up to 3 sites | Up to 6 sites |
| Data fields captured | Up to 8 | Up to 20 | Custom / unlimited |
| Schedule frequency | Daily or weekly | Down to hourly | Down to every 15 min |
| Pagination handling | Basic | Full | Full + infinite scroll |
| Output formats | CSV / JSON | CSV / JSON / Excel / Sheets | Any + direct DB write |
| Delivery method | Email or file drop | Email, Drive, webhook | Webhook, DB, API endpoint |
| De-duplication & change tracking | — | Included | Advanced (diff history) |
| Proxy / anti-block handling | Basic headers | Rotating proxies | Premium rotating proxies |
| Failure alerts | — | Email alerts | Email + webhook alerts |
| Hosting & scheduling setup | Your machine or cloud | Cloud hosted | Cloud hosted + uptime monitor |
| Revisions | 1 | 2 | Unlimited during setup |
| Post-delivery support | 7 days | 14 days | 30 days |
How it works
- Discovery. You send me the target URL(s), describe the exact data fields you want, and tell me how often you need the feed to run and where you want the results delivered. I confirm scope and flag anything that may be tricky (logins, heavy JavaScript, aggressive blocking).
- Inspection. I examine the target site's structure — its HTML, network requests, and any pagination or dynamic loading — to find the most reliable, low-impact way to extract your data.
- Build. I write a custom scraper that pulls your fields accurately, handles pagination, cleans the output, and de-duplicates records. I test it against live pages until the data matches what you'd see in the browser.
- Schedule. I wrap the scraper in an automated scheduler (cron, a cloud scheduler, or a hosted task) so it runs at your chosen cadence with retries and logging.
- Delivery. I wire up automatic delivery to your chosen destination — file, sheet, email, webhook, or database — and confirm each run arrives in the right shape.
- Validation & handoff. I run the full pipeline end-to-end, share sample output for your sign-off, make revisions, and hand over documentation plus support during the included window.
Why choose this
Most scraping gigs hand you a single CSV and walk away. This service is built for the part that actually matters: keeping the data fresh on autopilot. The feed is engineered to survive multiple runs over time — with retry logic, polite rate limiting, and failure alerts — so you are not stuck babysitting a brittle script that dies the first time the site hiccups.
I focus on accuracy and reliability over flashy promises. The data you receive matches what a human would see in a browser, cleaned and structured so it drops straight into your spreadsheet, dashboard, or database. You always know what changed between runs, and if something breaks, you hear about it instead of quietly trusting stale numbers. Communication is direct: clear scope up front, honest answers about what is and isn't feasible, and documentation you can actually read.
Who it's for / use cases
- E-commerce & retail: track competitor prices, monitor stock levels, watch for new product launches, and feed pricing data into your own store.
- Lead generation: collect business listings, directory contacts, and public profile data into a structured, growing list.
- Real estate & marketplaces: pull new listings, price changes, and availability from property or classifieds sites on a schedule.
- Market research & analysts: build a longitudinal dataset by capturing the same metrics every day or week to spot trends over time.
- Job boards & recruiting: aggregate fresh job postings across sites into one feed.
- Content & SEO teams: monitor rankings, mentions, reviews, or catalog changes automatically.
- Founders & ops teams: replace tedious manual data collection with a pipeline that just runs.
FAQ
Q: What information do you need from me to start? The target website URL(s), a clear description of the exact fields you want, how often the feed should run, and where you'd like the results delivered. A sample of your ideal output (even a rough sketch) helps a lot.
Q: Is web scraping legal? Scraping publicly available data is widely practiced, but legality depends on the site's terms, jurisdiction, and the nature of the data. I focus on public, non-personal data and respect rate limits. You are responsible for ensuring your intended use complies with the relevant terms and laws; I'm happy to discuss approach, but I don't provide legal advice.
Q: Can you scrape sites that need a login or are behind heavy JavaScript? Often yes. JavaScript-heavy sites are handled with a headless browser, and login-gated data is possible when you provide authorized credentials and the site's terms allow it. Share the details during discovery and I'll confirm feasibility before building.
Q: What if the website changes its layout and the feed breaks? Site redesigns can break any scraper — it's the nature of the work. Standard and Premium plans include failure alerts so you're notified immediately, and your support window covers fixes. Beyond that window, I offer affordable ongoing maintenance.
Q: Where does the scraper actually run? On Basic it can run on your machine or a cloud account you provide. Standard and Premium are cloud-hosted so the feed runs reliably around the clock without depending on your computer being on.
Q: How do you avoid getting blocked? I use polite request rates, realistic headers, retry-with-backoff logic, and rotating proxies on plans that include them. I deliberately keep request volume reasonable to stay low-impact and reduce the chance of blocking.
Q: Can the data be written straight into my database or Google Sheet? Yes. I can deliver to CSV, JSON, or Excel, write directly into a Google Sheet, or insert into Postgres, MySQL, SQLite, or MongoDB. Premium also supports pushing to a webhook or an API endpoint.
Q: How many records can it handle? From small daily pulls to large multi-page catalogs. For very large or high-frequency jobs, I tune batching, scheduling, and proxies accordingly — just share the expected volume during discovery so I can size it correctly.
Reviews★4.4(7)
- @mason_io★★★★★5
Great work on a sports stats feed that updates every night. The error handling is the part I appreciate most, when a source page changed layout last week it flagged it instead of silently feeding me garbage.
- @thedevco★★★★★5
I needed real estate listings pulled twice a day from a few regional MLS-style portals and delivered as clean CSV. Turnaround was two days and the feed has been running without a single hiccup.
- @mintninja★★★★★4
Solid automated pipeline pulling product reviews from a couple of marketplaces into a database on a weekly cycle. Does exactly what the gig describes and the handoff docs were genuinely useful.
- @mason_media★★★★★5
Set up a daily scrape of competitor pricing across about a dozen ecommerce sites and pipes it straight into a Google Sheet every morning before I'm even awake. Honestly the scheduling and the dedup logic are what sold me, I haven't had to touch it in three weeks.
- @lunarforge★★★★★4
The recurring scraper works well and the cron setup is solid. Took a couple of back-and-forth messages to get the date fields parsed the way I wanted, but once that was sorted the data has been consistent. Would have liked slightly faster replies on the revision.
- @eli_a★★★★★5
Built me an automated feed that monitors job board postings in the fintech space and drops new roles into my Airtable hourly. Communication was clear the whole way through, and he walked me through how to swap out the target keywords myself later. Exactly what I was hoping for.
- @dan360★★★★★3
The scraper itself does what it should and the recurring schedule runs reliably. My issue was that one of my three target sites had heavy bot protection and it ended up being dropped from the final feed, which wasn't really made clear until delivery. The other two sources work fine, just wish the limitations had been raised earlier.