Advanced Data Scraping and Lead Generation App

What this signal says

Leadiy recorded “Advanced Data Scraping and Lead Generation App” as a project signal, not as a copied job-board article. The public page keeps only the facts needed to understand the commercial request: the role or outcome, normalized technologies, engagement format, stated budget, observation time and the exact destination for a response. Contact names, email addresses, outreach drafts, private notes and the imported source row stay outside this page. The useful question is therefore narrow: what kind of software demand is visible here, and what should a supplier verify before deciding to respond?

How the technology was normalized

The controlled technology reading for this record is React, Python, FastAPI, PostgreSQL, Redis, React/Next.js + FastAPI. That label is derived from explicit terms in the role, primary technology and stack fields; it is not inferred from the buyer’s identity or from private contact context. Normalization folds common spelling and naming variants into one catalog so this page can be compared with other records. A combination tag appears only when every required part of that combination is detected. The result is a search aid, not a guarantee that every named tool is equally central to the delivery scope.

Commercial format

The current format label is Project, meaning a defined delivery outcome rather than an open-ended employment relationship. Leadiy uses this shared taxonomy so technology hubs can show whether demand arrives as delivery work, capacity, procurement or employment. Classification does not resolve contract law, worker status or platform terms, and it should not be read as an endorsement of eligibility. A timing signal is present as “2026-09-19,” but the source should be checked before treating it as a live deadline.

Reading the budget

Budget evidence for this opportunity is limited to “USD 30–250.” The catalog does not normalize unlike units or turn a marketplace headline into a guaranteed contract value. A visible figure can describe a cap, an estimate, a salary, a rate or only one phase of delivery. For that reason the page keeps the source wording beside the engagement format instead of producing a synthetic market price. The practical check is to confirm scope, unit, currency, fee treatment, milestone structure and whether the amount is still current on the original listing.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, React appears in 345 of 1261 observed opportunities (27.4%). Counts are multi-label, so one opportunity may contribute to several technology buckets. Hiring Pulse is the contextual layer Leadiy adds beyond aggregation. It places the record against a verified observation window while keeping counting rules visible: technologies can overlap, the feed is not a census, and sparse groups are not disclosed as exact numbers. This evidence can support prioritization, not a forecast. The record still needs source-level verification, and the aggregate view deliberately omits direct leads, personal information, private outreach content and arbitrary micro-segments that could reveal too much.

Observation and publication timing

Timing here is explicit: observed by Leadiy on 13 Sept 2026, 02:32 UTC, 13 days old at the current request, then admitted to the public catalog after 34.39 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.

What looks similar

To build a useful neighbourhood around this record, Leadiy compares normalized technology IDs and favours the strongest overlap among pages that have already cleared the public delay. The current result is: "FinTech AI SaaS: FastAPI + SQLModel + React/Vue", "Senior Fullstack Engineer (FastAPI, React)", "Full-Stack AI Developer — AI marketing SaaS MVP" This method makes relationships inspectable and avoids copying descriptive text from the source. Similarity means shared technical vocabulary, nothing more. It does not assert shared ownership, equal scope, equivalent seniority or an identical application process, and it can evolve as later records become publicly eligible.

Where the response goes

This page’s action route is explicit: it opens Freelancer on freelancer.com. Leadiy provides context and provenance, not an application proxy. A click can therefore lead to a third-party login or proposal workflow governed by that service’s own privacy, eligibility and payment rules. The public catalog never replaces those instructions and never publishes a hidden email address as an alternate route. Review the destination hostname, confirm that the opportunity is still active, and respond only through a path you trust.

Public evidence versus earlier access

The commercial distinction is one sentence: the same opportunities, one day earlier. The paid workspace is for acting on newly matched signals with private workflow tools; this public edition is for later discovery, citation and market context. Paying does not improve the source’s terms or guarantee a response. It changes when the Leadiy record becomes available and adds the operating context needed to triage it. That boundary keeps the open catalog genuinely useful while preserving a simple reason to subscribe without hiding where the original response must be submitted.

FinTech AI SaaS: FastAPI + SQLModel + React/Vue

Senior Python / FastAPI / React Engineer

Senior Fullstack Engineer (FastAPI, React)

Full-Stack AI Developer — AI marketing SaaS MVP

Tutoring Center Management Web Application